Similar to Justin’s season stats tracking thread, but everything is very contrived. Feel free to suggest more bad insightful metrics if you have any ideas.
Data through week 4
How often is the coopertition grid used?
56 teams have always placed 3+ GP in the coopertition grid
180, 254, 321, 329, 368, 461, 649, 766, 1189, 1351, 1468, 1591, 1714, 1736, 1756, 1757, 1787, 1827, 2052, 2080, 2202, 2491, 2539, 2607, 2609, 3005, 3171, 3184, 3255, 3419, 3546, 3683, 3950, 4285, 4419, 4467, 4607, 4678, 4907, 5736, 5813, 5851, 5895, 5913, 5934, 5940, 6090, 6381, 6743, 6744, 7535, 7541, 7632, 8033, 8393, 8608
How often does an alliance place 3+ GP in coopertition per region
This doesn’t mean the coopertition criteria were met as this treats each alliance independently (
# times an alliance placed 3+ GP / 2 * # matches)
| N | Team | Coop Ratio |
|---|---|---|
| 1 | FIRST Israel | 0.81 |
| 2 | FIRST Indiana Robotics | 0.78 |
| 3 | FIRST Mid-Atlantic | 0.75 |
| 4 | Pacific Northwest | 0.73 |
| 5 | New England | 0.72 |
| 6 | 0.71 | |
| 7 | Ontario | 0.68 |
| 8 | FIRST In Michigan | 0.67 |
| 9 | FIRST Chesapeake | 0.65 |
| 10 | FIRST In Texas | 0.63 |
| 11 | FIRST North Carolina | 0.54 |
| 12 | Peachtree | 0.51 |
How common are ties per region?
| N | District | Tie Every N Matches |
|---|---|---|
| 1 | New England | 19.16 |
| 2 | FIRST North Carolina | 52.29 |
| 3 | FIRST Chesapeake | 74.0 |
| 4 | Peachtree | 101.25 |
| 5 | FIRST In Texas | 103.17 |
| 6 | FIRST In Michigan | 109.88 |
| 7 | FIRST Indiana Robotics | 116.0 |
| 8 | 125.23 | |
| 9 | Pacific Northwest | 135.5 |
| 10 | FIRST Mid-Atlantic | 160.67 |
| 11 | FIRST Israel | 196.0 |
| 12 | Ontario | 226.5 |
What are the most full grids which are symmetrical?
| N | Match | Alliance | GP Count |
|---|---|---|---|
| 1 | 2023cada_sf7m1 | red | 27 |
| 2 | 2023txhou_qm31 | blue | 25 |
| 3 | 2023onwat_sf7m1 | red | 21 |
| 4 | 2023code_f1m2 | red | 20 |
| 5 | 2023onwat_qm58 | blue | 20 |
| 6 | 2023mabos_qm13 | red | 19 |
| 7 | 2023nhdur_f1m1 | red | 19 |
This gets boring once the count gets to 18 as that is just two rows.
How good are you at finishing links?
Matches with the most game pieces not in a link
| N | Match | Alliance | Unlinked Pieces | Links |
|---|---|---|---|---|
| 1 | 2023ilpe_qm17 | blue | 13.0 | 0 |
| 2 | 2023onnew_qm16 | blue | 12.0 | 0 |
| 3 | 2023mibel_qm51 | red | 12.0 | 0 |
| 4 | 2023mitvc_qm64 | red | 12.0 | 0 |
| 5 | 2023inwla_qm46 | red | 12.0 | 0 |
| 6 | 2023txhou_qm30 | red | 12.0 | 0 |
| 7 | 2023wimi_qm41 | blue | 12.0 | 1 |
| 8 | 2023ncpem_sf3m1 | red | 12.0 | 1 |
| 9 | 2023mose_qm41 | blue | 12.0 | 2 |
| 10 | 2023arli_qm29 | blue | 11.0 | 1 |
The grids in question for the top match
⚠️🟪⬜⚠️🟪⬜⬜🟪⬜
⬜⬜⬜⬜🟪⚠️⬜🟪⬜
⚠️🟪⬜🟪🟪⬜⚠️⬜⬜
Teams who are the best at scoring complete links
Computed as the cumulative ratio of
# GP scored / # unlinked GP when the alliance has >2 unlinked GPfor all of a teams matches
| N | Team | GP per unlinked GP |
|---|---|---|
| 1 | 2539 | 15.60 |
| 2 | 1678 | 15.02 |
| 3 | 1577 | 13.25 |
| 4 | 8533 | 12.00 |
| 5 | 4414 | 11.71 |
| 6 | 133 | 10.90 |
| 7 | 5613 | 10.87 |
| 8 | 973 | 10.27 |
| 9 | 5934 | 10.10 |
| 10 | 2521 | 9.86 |
| 11 | 3467 | 9.39 |
Lowest average rank for an exclusively increasing team number
Inspired by @Kevin_Leonard’s novel statistical analysis I was very curious which team had the best average rank. That alone was too boring though, so I also added the constraint that each digit of the teams number needs to be increasing, which is a much better statistic.
