The Adambots Automated Scouting Kit (AASK) automatically generates estimations of the ability of robots at competition. It utilizes the estimation of solutions to linear equations to predict expected contributions.
This tool was produced using Javascript, PHP, HTML, and CSS by Adambots team members for any FIRST
robotics teams to use!
Click the table headings to sort the table. See About This Tool▾ below for information
about this tool and instructions for use.
Important note: this tool will only produce constructive and accurate results when enough matches
have been played; each team should have played at least several matches before any of these calculations are
taken seriously.
FIRST Data* | Direct Calculations† | Subjective Calculations‡ | ||||||
Team | Rank | Auton | Climb | Teleop | OPR | DPR | CCWM | Seed |
118 | 1 | 33.9 | 5.2 | 51.5 | 90.6 | 1.6 | 47.2 | 1 |
1114 | 2 | 17.1 | 27.0 | 30.6 | 74.7 | -12.1 | 28.2 | 2 |
2169 | 3 | 16.3 | 11.5 | 53.6 | 81.4 | 13.1 | 40.0 | 3 |
1425 | 4 | 12.9 | 8.3 | 64.2 | 85.4 | -3.4 | 63.0 | 5 |
2630 | 5 | 7.8 | 6.3 | 44.6 | 58.7 | -0.5 | 20.6 | 6 |
1241 | 6 | 16.5 | 4.9 | 29.4 | 50.7 | 0.6 | 18.4 | 7 |
2474 | 7 | 22.1 | -0.7 | 21.5 | 42.9 | 2.5 | 16.0 | 8 |
3656 | 8 | 21.5 | 9.3 | 19.9 | 50.8 | -4.2 | 24.3 | 10 |
2338 | 9 | 14.4 | 3.5 | 15.9 | 33.8 | -8.5 | 27.8 | 4 |
2512 | 10 | 22.0 | 1.2 | 51.4 | 74.6 | -3.3 | 59.4 | 9 |
245 | 11 | 17.2 | 12.6 | 38.4 | 68.1 | -7.7 | 31.2 | 14 |
4069 | 12 | 18.8 | 9.5 | 26.5 | 54.7 | 5.0 | 29.1 | 12 |
295 | 13 | 18.6 | 10.4 | 22.6 | 51.5 | -14.6 | 38.6 | 13 |
610 | 14 | 9.8 | 7.1 | 28.5 | 45.4 | 1.3 | 23.4 | 18 |
2729 | 15 | 19.0 | 8.4 | 43.3 | 70.7 | 9.1 | 21.1 | 11 |
2907 | 16 | 8.5 | 10.7 | 18.0 | 37.2 | 16.2 | -0.6 | 20 |
3641 | 17 | 11.0 | 15.4 | 25.8 | 52.2 | -7.2 | 21.2 | 17 |
4334 | 18 | 8.5 | 8.3 | 41.9 | 58.6 | -20.5 | 32.7 | 21 |
27 | 19 | 13.1 | 4.5 | 37.1 | 54.7 | 0.4 | 20.5 | 15 |
422 | 20 | 11.6 | 7.9 | 20.6 | 40.1 | -8.7 | 33.1 | 16 |
2341 | 21 | 9.3 | -0.3 | 20.9 | 30.0 | -10.0 | 12.4 | 19 |
4557 | 22 | 5.5 | 6.7 | 14.6 | 26.7 | -5.4 | 18.2 | 22 |
4039 | 23 | 17.1 | 11.9 | 25.8 | 54.9 | -5.2 | 7.8 | 23 |
3528 | 24 | 21.4 | 6.7 | 18.2 | 46.3 | 2.9 | 20.5 | 26 |
111 | 25 | 25.8 | 7.3 | 35.6 | 68.7 | 4.6 | 24.2 | 25 |
1732 | 26 | 26.5 | 4.9 | 32.5 | 63.9 | 5.0 | 30.4 | 24 |
1477 | 27 | 19.8 | 12.6 | 21.4 | 53.8 | -3.7 | 0.3 | 28 |
1323 | 28 | 16.8 | 1.8 | 27.2 | 45.7 | -2.4 | 0.1 | 30 |
2000 | 29 | 12.9 | 9.6 | 17.4 | 40.0 | -5.4 | 15.9 | 33 |
222 | 30 | 17.6 | 7.8 | 46.8 | 72.3 | 5.1 | 12.5 | 29 |
4601 | 31 | 20.2 | 13.8 | 30.1 | 64.2 | 6.6 | 34.1 | 27 |
3944 | 32 | 7.5 | -0.8 | 13.1 | 19.8 | -4.3 | -16.3 | 37 |
2199 | 33 | 14.6 | 10.6 | 21.4 | 46.6 | 0.7 | 13.1 | 31 |
1806 | 34 | 8.3 | 15.8 | 42.8 | 67.0 | -1.7 | 6.3 | 34 |
2403 | 35 | 13.8 | 16.4 | 8.8 | 39.0 | -4.0 | 18.8 | 32 |
3941 | 36 | 7.9 | 9.8 | 25.3 | 43.0 | -1.7 | 12.3 | 36 |
4627 | 37 | -2.2 | 5.3 | 9.1 | 12.2 | 1.2 | -13.9 | 41 |
329 | 38 | 7.1 | -3.3 | 35.8 | 39.6 | -2.7 | 18.8 | 38 |
842 | 39 | 1.0 | 22.3 | -2.6 | 20.7 | -13.8 | -12.1 | 40 |
1710 | 40 | 6.6 | 6.2 | 17.8 | 30.6 | -3.9 | 26.7 | 39 |
3459 | 41 | 15.5 | -0.2 | 6.4 | 21.7 | 9.5 | -34.1 | 42 |
4492 | 42 | 9.7 | -4.3 | 19.4 | 24.8 | -0.7 | -1.9 | 43 |
2502 | 43 | 5.8 | 7.7 | 13.2 | 26.6 | 0.9 | 7.5 | 45 |
1325 | 44 | 6.2 | 3.3 | 6.7 | 16.2 | 5.2 | -15.4 | 44 |
4481 | 45 | 20.1 | 12.8 | 19.4 | 52.4 | -7.5 | 16.9 | 47 |
2337 | 46 | 20.4 | 7.0 | 19.1 | 46.6 | 5.6 | -6.5 | 46 |
125 | 47 | 17.0 | 12.1 | 30.7 | 59.9 | -6.0 | 20.8 | 48 |
2834 | 48 | 13.1 | 4.5 | 9.8 | 27.4 | 10.0 | -0.9 | 50 |
4579 | 49 | 8.0 | 1.9 | 7.3 | 17.2 | -3.3 | -15.7 | 35 |
2648 | 50 | 12.1 | 10.7 | 30.3 | 53.1 | 12.9 | 19.5 | 51 |
1378 | 51 | 9.0 | -3.4 | 16.5 | 22.0 | -2.8 | -16.3 | 53 |
4472 | 52 | 13.6 | 6.3 | 12.1 | 32.0 | -1.6 | -3.9 | 49 |
1218 | 53 | 10.8 | 7.1 | 29.7 | 47.6 | 7.6 | -5.9 | 52 |
4462 | 54 | 8.8 | 2.2 | 18.2 | 29.2 | 6.7 | -17.3 | 54 |
95 | 55 | -3.3 | 7.5 | 1.8 | 5.9 | 0.5 | -24.0 | 56 |
337 | 56 | 2.1 | 12.3 | 15.0 | 29.4 | -9.1 | -11.2 | 55 |
1987 | 57 | 5.6 | 4.6 | 21.7 | 31.9 | -9.1 | 0.1 | 58 |
1726 | 58 | 8.1 | 9.2 | 10.4 | 27.7 | 0.2 | -9.5 | 57 |
4641 | 59 | 3.7 | 9.3 | 14.7 | 27.8 | -6.9 | 5.5 | 59 |
70 | 60 | 27.2 | 9.9 | 32.4 | 69.5 | -9.9 | 12.2 | 60 |
1629 | 61 | 17.9 | 4.7 | 17.2 | 39.8 | -2.0 | -16.8 | 63 |
2978 | 62 | 21.5 | 5.0 | 11.5 | 38.0 | 8.4 | 1.4 | 61 |
3284 | 63 | 11.7 | 8.4 | 21.5 | 41.6 | -0.4 | -8.2 | 67 |
2175 | 64 | 19.6 | -1.7 | 30.1 | 47.9 | -3.4 | -3.0 | 62 |
447 | 65 | 7.8 | 10.4 | -1.3 | 16.9 | 12.0 | -29.1 | 73 |
3481 | 66 | 16.7 | 0.3 | 8.8 | 25.8 | 27.6 | -7.5 | 65 |
2481 | 67 | 9.6 | 22.7 | 3.0 | 35.4 | 2.0 | -36.1 | 70 |
1675 | 68 | 11.1 | 1.9 | 16.6 | 29.5 | 2.7 | -14.7 | 68 |
2485 | 69 | 17.0 | 1.4 | 47.0 | 65.4 | -7.9 | 26.9 | 64 |
1772 | 70 | 10.2 | 10.0 | 7.4 | 27.7 | -4.1 | -15.8 | 69 |
45 | 71 | 8.3 | -4.1 | 5.2 | 9.4 | 4.1 | -0.5 | 71 |
3211 | 72 | 13.9 | 2.8 | 12.3 | 29.1 | -12.4 | 16.7 | 66 |
358 | 73 | 8.0 | 21.5 | 16.8 | 46.3 | 9.5 | -7.0 | 72 |
4567 | 74 | 2.8 | -0.4 | 18.3 | 20.6 | -12.2 | -19.8 | 76 |
4607 | 75 | -1.6 | -0.1 | 14.2 | 12.5 | 4.0 | -3.6 | 80 |
2046 | 76 | 2.4 | -0.3 | 17.5 | 19.6 | 11.7 | -27.4 | 77 |
3018 | 77 | 0.9 | 21.8 | -10.1 | 12.5 | 4.0 | -35.0 | 78 |
4522 | 78 | 3.6 | 5.3 | -6.3 | 2.7 | 2.8 | -39.0 | 75 |
192 | 79 | 5.1 | -1.9 | 15.8 | 18.9 | 8.9 | -40.0 | 74 |
3189 | 80 | 0.2 | 7.8 | 2.0 | 9.9 | 1.2 | -26.9 | 79 |
4158 | 81 | 14.2 | 11.8 | 15.7 | 41.7 | 8.1 | 2.3 | 81 |
4011 | 82 | 12.3 | 6.5 | 16.2 | 35.0 | 1.0 | 4.6 | 84 |
578 | 83 | 15.0 | 4.5 | 2.9 | 22.4 | -0.2 | -37.0 | 83 |
4026 | 84 | 6.8 | 8.6 | 17.1 | 32.5 | 6.5 | -42.4 | 88 |
3132 | 85 | 16.8 | 7.5 | 22.4 | 46.7 | 6.1 | -7.4 | 82 |
1405 | 86 | 7.3 | 5.8 | 8.6 | 21.6 | 20.2 | -36.9 | 87 |
151 | 87 | 6.3 | 4.7 | -2.2 | 8.8 | -4.9 | -30.0 | 89 |
2259 | 88 | 9.5 | 6.8 | 13.7 | 29.9 | 6.0 | -18.0 | 86 |
384 | 89 | 5.3 | 1.2 | 9.9 | 16.4 | -14.7 | -25.3 | 90 |
744 | 90 | 10.7 | 8.3 | 20.9 | 39.9 | 8.8 | 10.2 | 85 |
1801 | 91 | 4.2 | 5.0 | -4.9 | 4.3 | -6.2 | -36.6 | 91 |
1086 | 92 | -1.4 | -1.5 | 2.6 | -0.3 | 2.1 | -34.2 | 92 |
4541 | 93 | -3.6 | 23.1 | 0.2 | 19.8 | -7.7 | -16.6 | 93 |
1912 | 94 | 6.0 | 1.3 | 12.1 | 19.5 | 3.9 | -14.5 | 95 |
467 | 95 | 10.1 | -1.2 | 7.3 | 16.2 | 3.8 | -15.5 | 94 |
4452 | 96 | 5.7 | 5.1 | -4.1 | 6.7 | -5.0 | -18.9 | 97 |
2809 | 97 | 9.4 | 0.6 | 1.4 | 11.4 | -0.7 | -27.3 | 96 |
4797 | 98 | -1.5 | 16.9 | 3.9 | 19.4 | -6.1 | -34.6 | 98 |
4502 | 99 | 6.9 | 8.5 | 6.7 | 22.1 | 9.0 | -47.0 | 99 |
1429 | 100 | 2.9 | 1.0 | -1.9 | 2.0 | -8.9 | -33.5 | 100 |
*Tabulated directly from www.USFIRST.org †Calculated using match and ranking data directly to solve a system of linear equations. These numbers are reliable estimates of team utility. ‡Calculated from raw data and previous calculations manipulated in a way deemed meaningful by the creators of AASK. |
Team | Rank | Auton | Climb | Teleop | OPR | DPR | CCWM | Seed | |
Team | 1.00 | 0.09 | -0.17 | 0.04 | -0.18 | -0.17 | 0.03 | -0.10 | 0.09 |
Rank | 0.09 | 1.00 | -0.50 | -0.15 | -0.66 | -0.69 | 0.15 | -0.78 | 1.00 |
Auton | -0.17 | -0.50 | 1.00 | -0.00 | 0.57 | 0.75 | 0.08 | 0.60 | -0.52 |
Climb | 0.04 | -0.15 | -0.00 | 1.00 | 0.01 | 0.31 | -0.12 | 0.13 | -0.14 |
Teleop | -0.18 | -0.66 | 0.57 | 0.01 | 1.00 | 0.91 | -0.05 | 0.79 | -0.66 |
OPR | -0.17 | -0.69 | 0.75 | 0.31 | 0.91 | 1.00 | -0.04 | 0.80 | -0.69 |
DPR | 0.03 | 0.15 | 0.08 | -0.12 | -0.05 | -0.04 | 1.00 | -0.23 | 0.16 |
CCWM | -0.10 | -0.78 | 0.60 | 0.13 | 0.79 | 0.80 | -0.23 | 1.00 | -0.80 |
Seed | 0.09 | 1.00 | -0.52 | -0.14 | -0.66 | -0.69 | 0.16 | -0.80 | 1.00 |
This is a correlation matrix for many of the various statistics we have collected and calculated, including raw point values. Values near positive or negative one indicate a high correlation. |
Custom Match Prediction | |
Red | Blue |
+ + |
+ + |
Blue wins by an expected 57.0 points. | |
|
Point Distributions |
OPR Distribution CCWM Distribution |
Match Scores |
Predictions for Unplayed Matches | ||||||
Match | Red Alliance | Blue Alliance | Actual | Predicted | ||
Q1 | 2175 4158 4452 | 4627 2834 245 | 79 | 125 | 96.3 | 107.6 |
Q2 | 4462 1629 1772 | 2169 70 4641 | 106 | 187 | 96.6 | 178.7 |
Q3 | 2000 3528 1405 | 1801 2502 2338 | 73 | 81 | ||
Q4 | 384 2978 2630 | 4557 2474 4026 | 99 | 85 | 113.0 | 102.1 |
Q5 | 151 1710 1086 | 45 3656 1218 | 32 | 107 | 39.2 | 107.8 |
Q6 | 2403 4607 1323 | 118 3284 447 | 86 | 147 | 97.2 | 149.2 |
Q7 | 1675 1114 1806 | 1241 4334 1477 | 141 | 150 | ||
Q8 | 192 4797 744 | 3941 842 422 | 68 | 104 | 78.2 | 103.9 |
Q9 | 2337 2199 95 | 4011 3018 2259 | 103 | 63 | 99.1 | 77.5 |
Q10 | 2485 467 4541 | 2341 27 1325 | 51 | 52 | ||
Q11 | 358 2648 1429 | 610 3189 295 | 92 | 115 | 101.4 | 106.9 |
Q12 | 111 4601 4579 | 2729 3944 4039 | 145 | 168 | ||
Q13 | 2046 1732 4567 | 222 2512 3459 | 117 | 188 | 104.2 | 168.6 |
Q14 | 1912 4472 578 | 3641 3132 329 | 73 | 113 | 73.8 | 138.4 |
Q15 | 2809 3211 4502 | 2907 125 4492 | 62 | 93 | 62.6 | 121.9 |
Q16 | 3481 4481 1987 | 337 4069 4522 | 80 | 81 | ||
Q17 | 1378 1726 192 | 2481 1425 1710 | 46 | 167 | 68.6 | 151.4 |
Q18 | 2337 1114 2502 | 2978 3941 1323 | 156 | 107 | 147.9 | 126.7 |
Q19 | 295 4334 1405 | 2403 2175 1086 | 144 | 77 | 131.8 | 86.7 |
Q20 | 1241 2259 4641 | 2729 422 2630 | 114 | 177 | 108.5 | 169.5 |
Q21 | 4026 2512 1772 | 2000 1675 3656 | 98 | 107 | ||
Q22 | 245 1629 2046 | 842 118 2199 | 126 | 146 | 127.5 | 158.0 |
Q23 | 4452 3132 3944 | 222 1325 744 | 110 | 118 | 73.2 | 128.4 |
Q24 | 1987 578 2809 | 4607 2648 1806 | 45 | 126 | 65.7 | 132.5 |
Q25 | 3284 2338 1378 | 4601 329 95 | 83 | 101 | 97.4 | 109.7 |
Q26 | 3459 4797 4557 | 4627 2169 2485 | 45 | 152 | 67.8 | 158.9 |
Q27 | 3211 1801 4462 | 151 4579 1732 | 30 | 103 | 62.6 | 90.0 |
Q28 | 3018 3641 2341 | 2474 1726 3189 | 86 | 38 | 94.7 | 80.5 |
Q29 | 4567 4472 125 | 70 4481 610 | 93 | 126 | 112.5 | 167.2 |
Q30 | 4522 111 1912 | 45 384 4502 | 82 | 42 | 90.8 | 47.9 |
Q31 | 4039 2481 4069 | 1218 358 4541 | 142 | 116 | 145.0 | 113.7 |
Q32 | 447 467 337 | 3528 2907 2834 | 87 | 134 | 62.5 | 110.9 |
Q33 | 1429 4492 27 | 1477 3481 1425 | 126 | 156 | 81.5 | 165.0 |
Q34 | 4158 1405 118 | 4011 1114 192 | 131 | 139 | ||
Q35 | 4452 2502 2485 | 4579 2199 1710 | 94 | 97 | ||
Q36 | 2338 4557 3189 | 4607 1325 1675 | 118 | 60 | 70.5 | 58.1 |
Q37 | 3211 578 3941 | 1086 4567 4601 | 112 | 41 | 94.4 | 84.5 |
Q38 | 4522 3944 2337 | 245 1378 2512 | 36 | 189 | 69.1 | 164.8 |
Q39 | 2169 2175 1241 | 4502 1218 1726 | 201 | 109 | 180.0 | 97.4 |
Q40 | 447 2729 610 | 2809 384 2341 | 80 | 79 | 133.0 | 57.8 |
Q41 | 1987 1429 3132 | 4462 2259 125 | 50 | 103 | 80.6 | 119.0 |
Q42 | 2046 4158 337 | 4797 4541 45 | 71 | 46 | 90.7 | 48.6 |
Q43 | 4069 4011 2648 | 3459 3641 3528 | 125 | 130 | ||
Q44 | 329 70 1801 | 1323 1425 358 | 103 | 164 | 113.4 | 177.4 |
Q45 | 1912 4039 4481 | 1772 4334 1732 | 109 | 129 | 126.7 | 150.2 |
Q46 | 222 3481 842 | 3018 467 2630 | 133 | 77 | 118.8 | 87.4 |
Q47 | 1806 2474 4492 | 295 3656 95 | 125 | 98 | 134.6 | 108.3 |
Q48 | 2978 2481 2907 | 2000 1629 4472 | 105 | 153 | 110.6 | 111.8 |
Q49 | 2834 1477 3284 | 111 4026 422 | 128 | 143 | 122.8 | 141.3 |
Q50 | 4627 2403 744 | 151 27 4641 | 78 | 109 | 91.1 | 91.4 |
Q51 | 4541 2648 2259 | 4601 192 4522 | 112 | 117 | ||
Q52 | 4011 2485 384 | 3941 2512 337 | 110 | 139 | 116.7 | 147.1 |
Q53 | 2341 4557 1114 | 70 4452 1912 | 136 | 125 | 131.4 | 95.6 |
Q54 | 4579 2169 842 | 447 2337 4158 | 143 | 116 | 119.3 | 105.2 |
Q55 | 4797 3211 95 | 1405 1710 1772 | 70 | 55 | ||
Q56 | 610 1218 2199 | 222 1378 2907 | 122 | 140 | ||
Q57 | 1323 4472 3018 | 3528 4492 245 | 62 | 149 | 90.3 | 139.2 |
Q58 | 4334 1726 4069 | 422 578 4627 | 148 | 55 | 141.0 | 74.6 |
Q59 | 2729 1325 1801 | 1477 2474 2403 | 96 | 128 | 91.2 | 135.7 |
Q60 | 111 3641 4607 | 1629 1429 151 | 140 | 64 | 133.4 | 50.6 |
Q61 | 4026 27 118 | 358 125 1806 | 205 | 187 | 177.8 | 173.1 |
Q62 | 295 3481 1675 | 2481 2809 45 | 119 | 57 | 106.8 | 56.2 |
Q63 | 4502 2834 2978 | 4481 2338 3944 | 66 | 125 | 87.4 | 106.0 |
Q64 | 4462 1086 2630 | 2046 744 329 | 75 | 72 | ||
Q65 | 2000 3189 1425 | 2175 1732 4641 | 83 | 116 | 135.3 | 139.7 |
Q66 | 3459 2502 4039 | 1987 1241 467 | 85 | 85 | 103.2 | 98.8 |
Q67 | 3656 3284 3528 | 4567 3132 1726 | 118 | 97 | 138.7 | 95.0 |
Q68 | 4579 2403 3941 | 1429 1378 1912 | 101 | 33 | 99.2 | 43.5 |
Q69 | 358 2474 2512 | 3211 447 4472 | 170 | 88 | 163.8 | 78.0 |
Q70 | 70 4158 2481 | 2729 1806 3641 | 174 | 193 | 146.5 | 189.8 |
Q71 | 2338 245 222 | 1772 151 2485 | 148 | 113 | 174.2 | 101.9 |
Q72 | 1477 45 2648 | 1405 2199 4557 | 89 | 99 | ||
Q73 | 27 578 2630 | 2175 1675 337 | 129 | 109 | 135.7 | 106.8 |
Q74 | 1323 3944 2000 | 4462 4069 95 | 125 | 88 | 105.5 | 89.9 |
Q75 | 384 2169 4039 | 3284 1114 1425 | 98 | 223 | 152.6 | 201.7 |
Q76 | 2337 610 4627 | 4026 2046 1801 | 152 | 59 | 104.1 | 56.4 |
Q77 | 2341 2502 842 | 4641 4011 4502 | 77 | 63 | ||
Q78 | 4334 1325 3656 | 4797 125 3481 | 165 | 87 | 125.6 | 105.0 |
Q79 | 2259 329 3189 | 1218 4567 2834 | 73 | 98 | 79.5 | 95.6 |
Q80 | 4492 1710 744 | 4522 2978 467 | 91 | 70 | 95.3 | 56.8 |
Q81 | 118 4541 2809 | 3132 1086 4481 | 126 | 100 | 121.9 | 98.7 |
Q82 | 1732 1987 2907 | 192 111 4452 | 154 | 104 | 133.0 | 94.4 |
Q83 | 3018 422 4601 | 295 3459 4607 | 125 | 58 | 116.9 | 85.7 |
Q84 | 1241 2403 337 | 1629 2337 3211 | 102 | 75 | 119.2 | 115.4 |
Q85 | 2729 1726 4557 | 358 3941 151 | 117 | 83 | 125.1 | 98.1 |
Q86 | 1325 1806 1772 | 1429 3284 2199 | 122 | 68 | 110.8 | 90.2 |
Q87 | 3656 3189 4502 | 2630 4472 4627 | 88 | 115 | 82.8 | 102.9 |
Q88 | 1218 1425 2648 | 4026 467 4158 | 191 | 120 | 186.2 | 90.3 |
Q89 | 70 447 2000 | 4334 2259 1378 | 116 | 78 | 126.3 | 110.6 |
Q90 | 1086 1477 384 | 95 3528 1732 | 117 | 94 | ||
Q91 | 1675 3132 3459 | 1323 111 1710 | 73 | 178 | 97.8 | 145.0 |
Q92 | 4567 2169 295 | 3641 3944 192 | 150 | 56 | 153.6 | 90.9 |
Q93 | 329 4011 2474 | 3481 4541 4579 | 161 | 91 | 117.5 | 62.8 |
Q94 | 245 2907 2341 | 744 578 4481 | 134 | 125 | 135.4 | 114.6 |
Q95 | 1912 2834 222 | 118 1987 1801 | 84 | 159 | 119.1 | 126.9 |
Q96 | 2512 27 3018 | 4797 4462 2338 | 136 | 132 | 141.9 | 82.3 |
Q97 | 2978 2809 842 | 4601 4452 1241 | 78 | 122 | 70.1 | 121.7 |
Q98 | 1405 4641 4522 | 610 4039 4607 | 56 | 168 | 52.1 | 112.7 |
Q99 | 1629 125 45 | 4069 1114 2485 | 98 | 168 | 109.0 | 194.8 |
Q100 | 2046 422 2175 | 2502 4492 2481 | 123 | 74 | 107.7 | 86.8 |
Q101 | 1732 1323 3641 | 2199 4541 4502 | 182 | 83 | 161.8 | 88.5 |
Q102 | 4579 358 192 | 2341 1772 3528 | 75 | 147 | 82.4 | 103.9 |
Q103 | 245 1987 1325 | 2169 2630 3211 | 117 | 190 | 116.2 | 169.1 |
Q104 | 1086 222 3284 | 2337 2474 2648 | 137 | 155 | 113.6 | 142.6 |
Q105 | 578 3481 95 | 3459 3189 2403 | 63 | 105 | 54.1 | 70.7 |
Q106 | 118 4627 1241 | 1429 3018 70 | 124 | 105 | 153.5 | 84.0 |
Q107 | 1726 45 4481 | 467 4452 2000 | 133 | 93 | 89.4 | 62.9 |
Q108 | 1378 125 2834 | 744 1405 1675 | 142 | 119 | 109.3 | 91.0 |
Q109 | 610 1114 111 | 842 2481 2512 | 160 | 117 | 188.8 | 130.7 |
Q110 | 4462 2907 1425 | 4567 2485 4607 | 155 | 148 | 151.8 | 98.5 |
Q111 | 2809 1710 337 | 4557 4039 329 | 61 | 136 | 71.5 | 121.2 |
Q112 | 2259 3941 2175 | 2338 4069 1806 | 153 | 180 | 120.9 | 155.5 |
Q113 | 4026 151 4601 | 3132 2502 4334 | 82 | 134 | 105.5 | 131.9 |
Q114 | 1477 447 4011 | 3656 2046 2978 | 115 | 118 | 105.8 | 108.4 |
Q115 | 1218 295 1629 | 4522 4797 2729 | 128 | 81 | 138.9 | 92.7 |
Q116 | 1801 384 422 | 4472 27 3944 | 47 | 81 | 60.8 | 106.6 |
Q117 | 1912 4641 1726 | 4492 4158 1325 | 84 | 84 | ||
Q118 | 111 3528 4627 | 2474 4481 1378 | 119 | 132 | ||
Q119 | 4541 95 2512 | 2834 4607 70 | 115 | 85 | ||
Q120 | 2630 118 45 | 4579 3641 610 | 162 | 144 | 158.7 | 114.8 |
Q121 | 2481 2169 3941 | 222 4334 3189 | 151 | 147 | 159.8 | 140.8 |
Q122 | 192 4069 1675 | 3284 2502 3211 | 127 | 107 | 103.1 | 97.3 |
Q123 | 1241 125 2199 | 4522 447 578 | 204 | 53 | 157.2 | 41.9 |
Q124 | 2046 1772 1218 | 1114 4601 1987 | 103 | 212 | 94.9 | 170.8 |
Q125 | 3656 4158 2338 | 384 744 1429 | 117 | 85 | 126.3 | 58.3 |
Q126 | 1806 4452 3481 | 4462 422 4039 | 93 | 125 | 99.5 | 124.2 |
Q127 | 3459 2978 1425 | 1912 1405 337 | 175 | 105 | 145.1 | 70.5 |
Q128 | 1629 1323 4567 | 2809 27 4011 | 106 | 99 | 106.1 | 101.2 |
Q129 | 151 2337 2341 | 329 2000 295 | 76 | 151 | 85.5 | 131.1 |
Q130 | 1710 1477 3944 | 2175 842 2907 | 100 | 86 | ||
Q131 | 4797 1732 4492 | 2403 2259 358 | 108 | 138 | 108.1 | 115.2 |
Q132 | 467 245 4557 | 1801 1086 4641 | 88 | 33 | 111.0 | 31.9 |
Q133 | 3018 4502 3132 | 2648 2729 2485 | 120 | 224 | 81.3 | 189.2 |
Q134 | 4026 4452 4607 | 4472 4579 2338 | 68 | 94 | 51.7 | 83.0 |
QTR 1-1 |
4039 1114 118 | 1732 245 27 | 213 | 170 | 220.2 | 186.8 |
QTR 2-1 |
2630 3641 111 | 1241 610 1477 | 199 | 181 | 179.6 | 149.9 |
QTR 3-1 |
3284 2175 2169 | 2338 1323 2512 | 189 | 154 | 170.9 | 154.1 |
QTR 4-1 |
2337 1425 2474 | 1806 3656 4334 | 194 | 122 | ||
QTR 1-2 |
118 4039 1114 | 1732 245 27 | 148 | 166 | ||
QTR 2-2 |
111 3641 2630 | 1477 1241 610 | 201 | 216 | ||
QTR 3-2 |
2175 3284 2169 | 2512 1323 2338 | 136 | 137 | ||
QTR 4-2 |
2337 2474 1425 | 3656 1806 4334 | 218 | 125 | ||
QTR 1-3 |
1114 118 4039 | 245 27 1732 | 288 | 186 | 220.2 | 186.8 |
QTR 2-3 |
2630 3641 111 | 610 1477 1241 | 193 | 203 | ||
QTR 3-3 |
3284 2169 2175 | 2512 1323 2338 | 224 | 109 | 170.9 | 154.1 |
SEMI 1-1 |
1114 4039 118 | 610 1241 1477 | 243 | 207 | 220.2 | 149.9 |
SEMI 2-1 |
2175 3284 2169 | 2474 2337 1425 | 101 | 106 | 170.9 | 174.9 |
SEMI 1-2 |
1114 118 4039 | 1477 1241 610 | 203 | 230 | ||
SEMI 2-2 |
2175 2169 3284 | 1425 2337 2474 | 135 | 108 | ||
SEMI 1-3 |
1114 118 4039 | 1477 1241 610 | 219 | 235 | ||
SEMI 2-3 |
2169 2175 3284 | 1425 2337 2474 | 156 | 117 | ||
FINAL 1-1 |
610 1241 1477 | 3284 2169 2175 | 164 | 59 | ||
FINAL 1-2 |
610 1241 1477 | 3284 2169 2175 | 193 | 174 |
Predictions for Unplayed Matches | ||||
Match | Red Alliance | Blue Alliance | Red Prediction | Blue Prediction |
No unplayed matches are scheduled. | ||||
|
Below is a description of each of the columns of the Analysis Table▴ above. Remember that you can sort the columns of the table by clicking the underlined headings!
Yes! AASK is meant only as a secondary source of information, either as a basis for comparison or to replace missing or faulty information. We do not guarantee that the results of our estimates will accurately reflect the capabilities of each team.
For each point category, our system solves a system of linear equations for the
"average contribution" of each team per match. Each equation corresponds to a single team and expresses the
total accumulated points earned by that team as a linear combination of that team's average contribution and
the average contributions of every other team that has competed on an alliance with that team. Naturally, we
represent the system of equations with a single matrix equation of the form Ax=b
b
contains the aggregate point value (one of AP, CP, TP, or their sum) for each
team.Aij
of matrix A
represents the number of times team
i
has played with team j
.
Each element on the diagonal, therefore, is the total number of matches played by the team represented
by that row and column. The alliance matrix is also symmetric.
x
, which contains the average contribution of each team.Because of the special properties of our matrix, we can easily find an exact solution when the matrix is nonsingular using LU Factorization (without pivoting!) followed by forward- and back-substitution. When the matrix is singular, we approximate the solution iteratively with the Gauss-Seidel method and display a warning to the user.
The Defensive Power Rating (DPR) for a team is calculated by iterating through the list of completed matches and using the calculated OPR values to predict the outcome of each match. For each match, for both alliances, the difference between this expected outcome and the true outcome of the match is credited to the defensive utility of the opposing alliance. For each team, we sum up these differences and solve a linear system similar to the one above using this new tabulated data.
The Calculated Contribution to the Winning Margin (CCWM) for each team is calculated by summing up the
alliance score difference for each team for each match and solving our favorite system of linear equations
for the x
vector with these margins in our b
vector.
AASK is dependent on the match schedule and rankings reported by www.USFIRST.org. Occasionally, the FIRST website
will experience an outage, rendering our tool temporarily incapacitated. We have implemented a simple
caching system, designed to reduce the frequency of such failures, but ultimately the status of the
FIRST website controls the functionality of this tool.
The Adambots Automated Scouting Kit (AASK) is free software: you can
redistribute it and/or modify it under the terms of the GNU General Public License
as published by the Free Software Foundation, either version 3 of the License,
or (at your option) any later version.
AASK is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with
AASK. If not, see http://www.gnu.org/licenses/.
AASK was started during the 2013 FIRST season by Ben Bray and Curtis Fenner of
Team 245, the Adambots, for use by other FRC teams.
Excanvas.js
(© Google 2006) for backwards compatibility with
Microsoft Internet Explorer, which is licenced under the Apache License. See here.