Shared scales Do columns in two tables use one scale?
A page can show the prices of two stores in two tables. The same color must then show the same price in the two tables.
Code finds columns in different tables that have the same header and unit. The model tells if they measure the same quantity. If they do, they get one scale that is wide enough for all their values.
Decision rule Use one scale when P(same quantity) is 0.5 or more. The questions The model gets the question text and a short description of the table. It gives a probability for each possible
answer.
These are real questions from the test pages, with the recorded
answers. Here, the question names the column by its header. The question that the extension sends points to the column
in the table description.
These columns come from different tables on the same page. Do all of columns grade the same property using labels from one shared scale (a table may use only some of the levels), so that one shared color scale would let a reader compare grades across the tables? columns table header grades OpenAI Category Lightweight Versatile Powerful Anthropic Category Versatile Powerful
Table description sent with this question Practical Data makes this description from the cells of the table and sends it with the question. examples are values from the column. spread tells how wide the range of values is. notes give hints, such as values that look like years. All fields and their possible values .
page_title Models and pricing for GitHub Copilot - GitHub Docs Answer Probability yes 56% no 44%
g0.share · noul The values of the column "Category" are grades of one property. Which of a and b is the lower grade? Table description sent with this question Practical Data makes this description from the cells of the table and sends it with the question. examples are values from the column. spread tells how wide the range of values is. notes give hints, such as values that look like years. All fields and their possible values .
page_title Models and pricing for GitHub Copilot - GitHub Docs Answer Probability a 99% b 1%
g0.lt0_1 · choice Results 9 of 10 checks pass, on 10
tables. The failure is a known issue. Tables
with a failure come first.
Each table shows the shading that the extension applies. The strip under the table shows all judgments on each column.
Put the pointer on a result to outline its column. A red outline shows a failure.
Death toll in 2 tables:
separate scales Known limitation By death toll Location Death toll Turkey, Kahramanmaraş 59,488–62,013 Turkey, Kahramanmaraş 59,488–62,013 Morocco, Al Haouz 2,960 Afghanistan, Herat 1,482 Nepal, Karnali 153 China, Gansu 151 Afghanistan, Badakhshan 21 Ecuador, Guayas offshore 18 Turkey, Hatay 11 Philippines, Soccsksargen offshore 11
By magnitude Location Death toll Turkey, Kahramanmaraş 59,488–62,013 New Caledonia, Loyalty Islands offshore 0 Philippines, Caraga offshore 3 Indonesia, Maluku offshore 0 Tonga, Niuatoputapu offshore 0 Turkey, Kahramanmaraş - Tonga, Tongatapu offshore 0 United States, Alaska offshore 0 Indonesia, North Sumatra offshore 0 New Zealand, Kermadec Islands offshore 0 Indonesia, Banda Sea offshore 0 Vanuatu, Tafea offshore 0 New Caledonia, Loyalty Islands offshore 0 Indonesia, East Java offshore 0 Vanuatu, Sanma offshore 0 Papua New Guinea, East Sepik 8 Indonesia, North Maluku offshore 0 Indonesia, East Java offshore 1 New Zealand, Kermadec Islands offshore 0
0 60,751
By death toll
11 to 60,751 Each dot is one row. The band is the scale that the table is shaded on.
Magnitude in 2 tables:
one shared scale Pass By death toll Location Magnitude Turkey, Kahramanmaraş 7.8 Turkey, Kahramanmaraş 7.5 Morocco, Al Haouz 6.8 Afghanistan, Herat 6.3 Nepal, Karnali 5.7 China, Gansu 5.9 Afghanistan, Badakhshan 6.5 Ecuador, Guayas offshore 6.8 Turkey, Hatay 6.3 Philippines, Soccsksargen offshore 6.7
By magnitude Location Magnitude Turkey, Kahramanmaraş 7.8 New Caledonia, Loyalty Islands offshore 7.7 Philippines, Caraga offshore 7.6 Indonesia, Maluku offshore 7.6 Tonga, Niuatoputapu offshore 7.6 Turkey, Kahramanmaraş 7.5 Tonga, Tongatapu offshore 7.2 United States, Alaska offshore 7.2 Indonesia, North Sumatra offshore 7.1 New Zealand, Kermadec Islands offshore 7.1 Indonesia, Banda Sea offshore 7.1 Vanuatu, Tafea offshore 7.1 New Caledonia, Loyalty Islands offshore 7.1 Indonesia, East Java offshore 7.1 Vanuatu, Sanma offshore 7.0 Papua New Guinea, East Sepik 7.0 Indonesia, North Maluku offshore 7.0 Indonesia, East Java offshore 7.0 New Zealand, Kermadec Islands offshore 7.0
5.7 7.8
Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
MMI in 2 tables:
one shared scale Pass By death toll Location MMI Turkey, Kahramanmaraş XII (Extreme) Turkey, Kahramanmaraş XI (Extreme) Morocco, Al Haouz IX (Violent) Afghanistan, Herat VIII (Severe) Nepal, Karnali VIII (Severe) China, Gansu IX (Violent) Afghanistan, Badakhshan V (Moderate) Ecuador, Guayas offshore VII (Very strong) Turkey, Hatay IX (Violent) Philippines, Soccsksargen offshore VIII (Severe)
By magnitude Location MMI Turkey, Kahramanmaraş XII (Extreme) New Caledonia, Loyalty Islands offshore IV (Light) Philippines, Caraga offshore VII (Very strong) Indonesia, Maluku offshore VI (Strong) Tonga, Niuatoputapu offshore VI (Strong) Turkey, Kahramanmaraş XI (Extreme) Tonga, Tongatapu offshore VI (Strong) United States, Alaska offshore VII (Very strong) Indonesia, North Sumatra offshore VIII (Severe) New Zealand, Kermadec Islands offshore VII (Very strong) Indonesia, Banda Sea offshore VI (Strong) Vanuatu, Tafea offshore VI (Strong) New Caledonia, Loyalty Islands offshore IV (Light) Indonesia, East Java offshore IV (Light) Vanuatu, Sanma offshore VII (Very strong) Papua New Guinea, East Sepik VII (Very strong) Indonesia, North Maluku offshore V (Moderate) Indonesia, East Java offshore V (Moderate) New Zealand, Kermadec Islands offshore IV (Light)
Depth (km) in 2 tables:
one shared scale Pass By death toll Location Depth (km) Turkey, Kahramanmaraş 10.0 Turkey, Kahramanmaraş 7.4 Morocco, Al Haouz 19.0 Afghanistan, Herat 14.0 Nepal, Karnali 16.5 China, Gansu 10.0 Afghanistan, Badakhshan 187.6 Ecuador, Guayas offshore 65.8 Turkey, Hatay 16.0 Philippines, Soccsksargen offshore 52.0
By magnitude Location Depth (km) Turkey, Kahramanmaraş 10.0 New Caledonia, Loyalty Islands offshore 18.0 Philippines, Caraga offshore 40.0 Indonesia, Maluku offshore 105.2 Tonga, Niuatoputapu offshore 210.1 Turkey, Kahramanmaraş 7.4 Tonga, Tongatapu offshore 167.4 United States, Alaska offshore 25.0 Indonesia, North Sumatra offshore 34.0 New Zealand, Kermadec Islands offshore 46.8 Indonesia, Banda Sea offshore 10.0 Vanuatu, Tafea offshore 48.4 New Caledonia, Loyalty Islands offshore 36.0 Indonesia, East Java offshore 513.5 Vanuatu, Sanma offshore 29.0 Papua New Guinea, East Sepik 70.0 Indonesia, North Maluku offshore 28.6 Indonesia, East Java offshore 597.0 New Zealand, Kermadec Islands offshore 10.0
7.4 597.0
By death toll
7.4 to 187.6 By magnitude
7.4 to 597.0 Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
Input in 2 tables:
one shared scale Pass OpenAI Model Input GPT-5 mini $0.25 GPT-5.3-Codex $1.75 GPT-5.4 $2.50 GPT-5.4 $5.00 GPT-5.4 mini $0.75 GPT-5.4 nano $0.20 GPT-5.5 $5.00 GPT-5.5 $10.00 GPT-5.6 Luna $0.20 GPT-5.6 Luna $0.40 GPT-5.6 Sol $4.00 GPT-5.6 Sol $8.00 GPT-5.6 Terra $2.00 GPT-5.6 Terra $4.00 GPT-6 Astra $10.00 GPT-6 Astra $20.00 GPT-6 Luna $0.10 GPT-6 Luna $0.20 GPT-6 Sol $2.00 GPT-6 Sol $4.00 GPT-6.1 Sol $2.00 GPT-6.1 Sol $4.00
Anthropic Model Input Claude Haiku 4.5 $1.00 Claude Sonnet 4 $3.00 Claude Sonnet 4.6 $3.00 Claude Opus 4.8 $5.00 Claude Opus 5 $5.00 Claude Opus 5.5 $4.00 Claude Sonnet 5 $2.00 Claude Sonnet 5.5 $2.00 Claude Opus 4.8 (fast mode) (preview) $10.00 Claude Fable 5 $10.00 Claude Fable 5.1 $10.00
$0.10 $20.00
Anthropic
$1.00 to $10.00 Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
Output in 2 tables:
one shared scale Pass OpenAI Model Output GPT-5 mini $2.00 GPT-5.3-Codex $14.00 GPT-5.4 $15.00 GPT-5.4 $22.50 GPT-5.4 mini $4.50 GPT-5.4 nano $1.25 GPT-5.5 $30.00 GPT-5.5 $45.00 GPT-5.6 Luna $1.20 GPT-5.6 Luna $1.80 GPT-5.6 Sol $20.00 GPT-5.6 Sol $30.00 GPT-5.6 Terra $12.00 GPT-5.6 Terra $18.00 GPT-6 Astra $50.00 GPT-6 Astra $75.00 GPT-6 Luna $0.50 GPT-6 Luna $0.75 GPT-6 Sol $10.00 GPT-6 Sol $15.00 GPT-6.1 Sol $10.00 GPT-6.1 Sol $15.00
Anthropic Model Output Claude Haiku 4.5 $5.00 Claude Sonnet 4 $15.00 Claude Sonnet 4.6 $15.00 Claude Opus 4.8 $25.00 Claude Opus 5 $25.00 Claude Opus 5.5 $20.00 Claude Sonnet 5 $10.00 Claude Sonnet 5.5 $10.00 Claude Opus 4.8 (fast mode) (preview) $50.00 Claude Fable 5 $50.00 Claude Fable 5.1 $50.00
$0.50 $75.00
Anthropic
$5.00 to $50.00 Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
W in 6 tables:
one shared scale Pass AL East Team W (1) New York Yankees 94 (4) Baltimore Orioles 91 Boston Red Sox 81 Tampa Bay Rays 80 Toronto Blue Jays 74
AL Central Team W (2) Cleveland Guardians 92 (5) Kansas City Royals 86 (6) Detroit Tigers 86 Minnesota Twins 82 Chicago White Sox 41
AL West Team W (3) Houston Astros 88 Seattle Mariners 85 Texas Rangers 78 Oakland Athletics 69 Los Angeles Angels 63
NL East Team W (2) Philadelphia Phillies 95 (5) Atlanta Braves 89 (6) New York Mets 89 Washington Nationals 71 Miami Marlins 62
NL Central Team W (3) Milwaukee Brewers 93 St. Louis Cardinals 83 Chicago Cubs 83 Cincinnati Reds 77 Pittsburgh Pirates 76
NL West Team W (1) Los Angeles Dodgers 98 (4) San Diego Padres 93 Arizona Diamondbacks 89 San Francisco Giants 80 Colorado Rockies 61
41 98
Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
L in 6 tables:
one shared scale Pass AL East Team L (1) New York Yankees 68 (4) Baltimore Orioles 71 Boston Red Sox 81 Tampa Bay Rays 82 Toronto Blue Jays 88
AL Central Team L (2) Cleveland Guardians 69 (5) Kansas City Royals 76 (6) Detroit Tigers 76 Minnesota Twins 80 Chicago White Sox 121
AL West Team L (3) Houston Astros 73 Seattle Mariners 77 Texas Rangers 84 Oakland Athletics 93 Los Angeles Angels 99
NL East Team L (2) Philadelphia Phillies 67 (5) Atlanta Braves 73 (6) New York Mets 73 Washington Nationals 91 Miami Marlins 100
NL Central Team L (3) Milwaukee Brewers 69 St. Louis Cardinals 79 Chicago Cubs 79 Cincinnati Reds 85 Pittsburgh Pirates 86
NL West Team L (1) Los Angeles Dodgers 64 (4) San Diego Padres 69 Arizona Diamondbacks 73 San Francisco Giants 82 Colorado Rockies 101
64 121
Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
Pct. in 6 tables:
one shared scale Pass AL East Team Pct. (1) New York Yankees .580 (4) Baltimore Orioles .562 Boston Red Sox .500 Tampa Bay Rays .494 Toronto Blue Jays .457
AL Central Team Pct. (2) Cleveland Guardians .571 (5) Kansas City Royals .531 (6) Detroit Tigers .531 Minnesota Twins .506 Chicago White Sox .253
AL West Team Pct. (3) Houston Astros .547 Seattle Mariners .525 Texas Rangers .481 Oakland Athletics .426 Los Angeles Angels .389
NL East Team Pct. (2) Philadelphia Phillies .586 (5) Atlanta Braves .549 (6) New York Mets .549 Washington Nationals .438 Miami Marlins .383
NL Central Team Pct. (3) Milwaukee Brewers .574 St. Louis Cardinals .512 Chicago Cubs .512 Cincinnati Reds .475 Pittsburgh Pirates .469
NL West Team Pct. (1) Los Angeles Dodgers .605 (4) San Diego Padres .574 Arizona Diamondbacks .549 San Francisco Giants .494 Colorado Rockies .377
0.253 0.605
AL Central
0.253 to 0.571 NL Central
0.469 to 0.574 Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
GB in 6 tables:
one shared scale Pass AL East Team GB (1) New York Yankees — (4) Baltimore Orioles 3 Boston Red Sox 13 Tampa Bay Rays 14 Toronto Blue Jays 20
AL Central Team GB (2) Cleveland Guardians — (5) Kansas City Royals 6½ (6) Detroit Tigers 6½ Minnesota Twins 10½ Chicago White Sox 51½
AL West Team GB (3) Houston Astros — Seattle Mariners 3½ Texas Rangers 10½ Oakland Athletics 19½ Los Angeles Angels 25½
NL East Team GB (2) Philadelphia Phillies — (5) Atlanta Braves 6 (6) New York Mets 6 Washington Nationals 24 Miami Marlins 33
NL Central Team GB (3) Milwaukee Brewers — St. Louis Cardinals 10 Chicago Cubs 10 Cincinnati Reds 16 Pittsburgh Pirates 17
NL West Team GB (1) Los Angeles Dodgers — (4) San Diego Padres 5 Arizona Diamondbacks 9 San Francisco Giants 18 Colorado Rockies 37
3 52
Each dot is one row. The band is the scale that the table is shaded on: the same for each table.
Rank Death toll Magnitude Location MMI Depth (km) Date Event 1 59,488–62,013 7.8 Turkey, Kahramanmaraş XII (Extreme) 10.0 February 6 2023 Turkey–Syria earthquakes 1 59,488–62,013 7.5 Turkey, Kahramanmaraş XI (Extreme) 7.4 February 6 2023 Turkey–Syria earthquakes 2 2,960 6.8 Morocco, Al Haouz IX (Violent) 19.0 September 8 2023 Al Haouz earthquake 3 1,482 6.3 Afghanistan, Herat VIII (Severe) 14.0 October 7 2023 Herat earthquakes 4 153 5.7 Nepal, Karnali VIII (Severe) 16.5 November 3 2023 Nepal earthquake 5 151 5.9 China, Gansu IX (Violent) 10.0 December 18 2023 Jishishan earthquake 6 21 6.5 Afghanistan, Badakhshan V (Moderate) 187.6 March 21 2023 Badakhshan earthquake 7 18 6.8 Ecuador, Guayas offshore VII (Very strong) 65.8 March 18 2023 Guayas earthquake 8 11 6.3 Turkey, Hatay IX (Violent) 16.0 February 20 2023 Turkey–Syria earthquakes 9 11 6.7 Philippines, Soccsksargen offshore VIII (Severe) 52.0 November 17 November 2023 Mindanao earthquake Ignored a rank, not an amount Amount lower is better · log scale Amount no direction · linear · shared scale Ignored free text Ordered labels 8 levels · shared scale Amount no direction · log scale · shared scale Dates earliest to latest Ignored free text
Checks on By death toll: 3 of 4 pass Column Hand label Judgment Result Death toll one scale separate scales Known limitation Known limitation : A close decision can change from one run to the next. The model's answers are not fully repeatable near a threshold. Two runs of the same question about death tolls in two earthquake tables gave a shared scale once and separate scales once.Magnitude one scale one scale Pass MMI one scale one scale Pass Depth (km) one scale one scale Pass
47 questions in 3 requests for this table Rank Magnitude Death toll Location MMI Depth (km) Date Event 1 7.8 59,488–62,013 Turkey, Kahramanmaraş XII (Extreme) 10.0 February 6 2023 Turkey–Syria earthquakes 2 7.7 0 New Caledonia, Loyalty Islands offshore IV (Light) 18.0 May 19 - 3 7.6 3 Philippines, Caraga offshore VII (Very strong) 40.0 December 2 December 2023 Mindanao earthquake 3 7.6 0 Indonesia, Maluku offshore VI (Strong) 105.2 January 9 - 3 7.6 0 Tonga, Niuatoputapu offshore VI (Strong) 210.1 May 10 - 6 7.5 - Turkey, Kahramanmaraş XI (Extreme) 7.4 February 6 2023 Turkey–Syria earthquakes 7 7.2 0 Tonga, Tongatapu offshore VI (Strong) 167.4 June 15 - 7 7.2 0 United States, Alaska offshore VII (Very strong) 25.0 July 16 - 9 7.1 0 Indonesia, North Sumatra offshore VIII (Severe) 34.0 April 24 - 9 7.1 0 New Zealand, Kermadec Islands offshore VII (Very strong) 46.8 April 24 - 9 7.1 0 Indonesia, Banda Sea offshore VI (Strong) 10.0 November 8 - 9 7.1 0 Vanuatu, Tafea offshore VI (Strong) 48.4 December 7 - 9 7.1 0 New Caledonia, Loyalty Islands offshore IV (Light) 36.0 May 20 - 9 7.1 0 Indonesia, East Java offshore IV (Light) 513.5 August 28 - 15 7.0 0 Vanuatu, Sanma offshore VII (Very strong) 29.0 January 8 - 15 7.0 8 Papua New Guinea, East Sepik VII (Very strong) 70.0 April 2 2023 Papua New Guinea earthquake 15 7.0 0 Indonesia, North Maluku offshore V (Moderate) 28.6 January 18 - 15 7.0 1 Indonesia, East Java offshore V (Moderate) 597.0 April 14 - 15 7.0 0 New Zealand, Kermadec Islands offshore IV (Light) 10.0 March 16 - Ignored a rank, not an amount Amount no direction · linear · shared scale Amount lower is better · linear Ignored names or free text Ordered labels 8 levels · shared scale Amount no direction · log scale · shared scale Dates earliest to latest Ignored free text
Checks on By magnitude: 3 of 4 pass Column Hand label Judgment Result Magnitude one scale one scale Pass Death toll one scale separate scales Known limitation Known limitation : A close decision can change from one run to the next. The model's answers are not fully repeatable near a threshold. Two runs of the same question about death tolls in two earthquake tables gave a shared scale once and separate scales once.MMI one scale one scale Pass Depth (km) one scale one scale Pass
59 questions in 3 requests for this table Model Release status Category Tier Threshold (input tokens) Input Cached input Cache write Output GPT-5 mini GA Lightweight Default Not applicable $0.25 $0.025 Not applicable $2.00 GPT-5.3-Codex GA Powerful Default Not applicable $1.75 $0.175 Not applicable $14.00 GPT-5.4 GA Versatile Default ≤ 272K $2.50 $0.25 Not applicable $15.00 GPT-5.4 GA Versatile Long context > 272K $5.00 $0.50 Not applicable $22.50 GPT-5.4 mini GA Lightweight Default Not applicable $0.75 $0.075 Not applicable $4.50 GPT-5.4 nano GA Lightweight Default Not applicable $0.20 $0.02 Not applicable $1.25 GPT-5.5 GA Powerful Default ≤ 272K $5.00 $0.50 Not applicable $30.00 GPT-5.5 GA Powerful Long context > 272K $10.00 $1.00 Not applicable $45.00 GPT-5.6 Luna GA Lightweight Default ≤ 200K $0.20 $0.02 $0.25 $1.20 GPT-5.6 Luna GA Lightweight Long context > 200K $0.40 $0.04 $0.50 $1.80 GPT-5.6 Sol GA Powerful Default ≤ 272K $4.00 $0.40 $5.00 $20.00 GPT-5.6 Sol GA Powerful Long context > 272K $8.00 $0.80 $10.00 $30.00 GPT-5.6 Terra GA Versatile Default ≤ 272K $2.00 $0.20 $2.50 $12.00 GPT-5.6 Terra GA Versatile Long context > 272K $4.00 $0.40 $5.00 $18.00 GPT-6 Astra GA Powerful Default ≤ 272K $10.00 $1.00 $12.50 $50.00 GPT-6 Astra GA Powerful Long context > 272K $20.00 $2.00 $25.00 $75.00 GPT-6 Luna GA Lightweight Default ≤ 272K $0.10 $0.01 $0.125 $0.50 GPT-6 Luna GA Lightweight Long context > 272K $0.20 $0.02 $0.25 $0.75 GPT-6 Sol GA Powerful Default ≤ 272K $2.00 $0.20 $2.50 $10.00 GPT-6 Sol GA Powerful Long context > 272K $4.00 $0.40 $5.00 $15.00 GPT-6.1 Sol GA Powerful Default ≤ 272K $2.00 $0.10 $2.50 $10.00 GPT-6.1 Sol GA Powerful Long context > 272K $4.00 $0.20 $5.00 $15.00 Ignored names or free text Ignored single value Ordered labels 3 levels · shared scale Ignored only two levels Ignored a cutoff, not an amount Amount lower is better · log scale · shared scale Amount lower is better · log scale · shared scale Amount lower is better · log scale · shared scale Amount lower is better · log scale · shared scale
Checks on OpenAI: 2 of 2 pass Column Hand label Judgment Result Input one scale one scale Pass Output one scale one scale Pass
31 questions in 5 requests for this table Model Release status Category Input Cached input Cache write Output Claude Haiku 4.5 GA Versatile $1.00 $0.10 $1.25 $5.00 Claude Sonnet 4 GA Versatile $3.00 $0.30 $3.75 $15.00 Claude Sonnet 4.6 GA Versatile $3.00 $0.30 $3.75 $15.00 Claude Opus 4.8 GA Powerful $5.00 $0.50 $6.25 $25.00 Claude Opus 5 GA Powerful $5.00 $0.50 $6.25 $25.00 Claude Opus 5.5 GA Powerful $4.00 $0.20 $5.00 $20.00 Claude Sonnet 5 GA Versatile $2.00 $0.20 $2.50 $10.00 Claude Sonnet 5.5 GA Versatile $2.00 $0.20 $2.50 $10.00 Claude Opus 4.8 (fast mode) (preview) GA Powerful $10.00 $1.00 $12.50 $50.00 Claude Fable 5 GA Powerful $10.00 $1.00 $12.50 $50.00 Claude Fable 5.1 GA Powerful $10.00 $0.25 $12.50 $50.00 Ignored free text Ignored single value Ordered labels 3 levels · shared scale Amount lower is better · log scale · shared scale Amount lower is better · log scale · shared scale Amount lower is better · log scale · shared scale Amount lower is better · log scale · shared scale
Checks on Anthropic: 2 of 2 pass Column Hand label Judgment Result Input one scale one scale Pass Output one scale one scale Pass
21 questions in 3 requests for this table Team W L Pct. GB Home Road (1) New York Yankees 94 68 .580 — 44–37 50–31 (4) Baltimore Orioles 91 71 .562 3 44–37 47–34 Boston Red Sox 81 81 .500 13 38–43 43–38 Tampa Bay Rays 80 82 .494 14 42–39 38–43 Toronto Blue Jays 74 88 .457 20 39–42 35–46 Ignored labels with no natural order Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Ignored labels look like scores or records Ignored labels look like scores or records
Checks on AL East: 4 of 4 pass Column Hand label Judgment Result W one scale one scale Pass L one scale one scale Pass Pct. one scale one scale Pass GB one scale one scale Pass
19 questions in 4 requests for this table Team W L Pct. GB Home Road (2) Cleveland Guardians 92 69 .571 — 50–30 42–39 (5) Kansas City Royals 86 76 .531 6½ 45–36 41–40 (6) Detroit Tigers 86 76 .531 6½ 43–38 43–38 Minnesota Twins 82 80 .506 10½ 43–38 39–42 Chicago White Sox 41 121 .253 51½ 23–58 18–63 Ignored labels with no natural order Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Ignored labels look like scores or records Ignored labels look like scores or records
Checks on AL Central: 4 of 4 pass Column Hand label Judgment Result W one scale one scale Pass L one scale one scale Pass Pct. one scale one scale Pass GB one scale one scale Pass
19 questions in 4 requests for this table Team W L Pct. GB Home Road (3) Houston Astros 88 73 .547 — 46–35 42–38 Seattle Mariners 85 77 .525 3½ 49–32 36–45 Texas Rangers 78 84 .481 10½ 44–37 34–47 Oakland Athletics 69 93 .426 19½ 38–43 31–50 Los Angeles Angels 63 99 .389 25½ 32–49 31–50 Ignored labels with no natural order Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Ignored labels look like scores or records Ignored labels look like scores or records
Checks on AL West: 4 of 4 pass Column Hand label Judgment Result W one scale one scale Pass L one scale one scale Pass Pct. one scale one scale Pass GB one scale one scale Pass
19 questions in 4 requests for this table Team W L Pct. GB Home Road (2) Philadelphia Phillies 95 67 .586 — 54–27 41–40 (5) Atlanta Braves 89 73 .549 6 46–35 43–38 (6) New York Mets 89 73 .549 6 46–35 43–38 Washington Nationals 71 91 .438 24 38–43 33–48 Miami Marlins 62 100 .383 33 30–51 32–49 Ignored labels with no natural order Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Ignored labels look like scores or records Ignored labels look like scores or records
Checks on NL East: 4 of 4 pass Column Hand label Judgment Result W one scale one scale Pass L one scale one scale Pass Pct. one scale one scale Pass GB one scale one scale Pass
19 questions in 4 requests for this table Team W L Pct. GB Home Road (3) Milwaukee Brewers 93 69 .574 — 47–34 46–35 St. Louis Cardinals 83 79 .512 10 44–37 39–42 Chicago Cubs 83 79 .512 10 44–37 39–42 Cincinnati Reds 77 85 .475 16 39–42 38–43 Pittsburgh Pirates 76 86 .469 17 39–42 37–44 Ignored labels with no natural order Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Ignored labels look like scores or records Ignored labels look like scores or records
Checks on NL Central: 4 of 4 pass Column Hand label Judgment Result W one scale one scale Pass L one scale one scale Pass Pct. one scale one scale Pass GB one scale one scale Pass
19 questions in 4 requests for this table Team W L Pct. GB Home Road (1) Los Angeles Dodgers 98 64 .605 — 52–29 46–35 (4) San Diego Padres 93 69 .574 5 45–36 48–33 Arizona Diamondbacks 89 73 .549 9 44–37 45–36 San Francisco Giants 80 82 .494 18 42–39 38–43 Colorado Rockies 61 101 .377 37 37–44 24–57 Ignored labels with no natural order Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Amount higher is better · linear · shared scale Amount lower is better · linear · shared scale Ignored labels look like scores or records Ignored labels look like scores or records
Checks on NL West: 4 of 4 pass Column Hand label Judgment Result W one scale one scale Pass L one scale one scale Pass Pct. one scale one scale Pass GB one scale one scale Pass
19 questions in 4 requests for this table 
Practical Data