| Year | Team | Status | Finish | W-L | PPG | PAPG | Margin | TU/G | N/G | BHrd | BPts | PPB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | MIT B | D2 | 22 | 9-9 | 162.2 | 189.7 | -27.5 | 7.72 | 1.56 | 139 | 1670 | 12.01 |
| 2016 | MIT B | D2 | 17 | 9-7 | 185.6 | 190.6 | -5.0 | 8.50 | 1.06 | 136 | 1695 | 12.46 |
| 2017 | MIT B | D2 | 32 | 6-7 | 155.4 | 201.2 | -45.8 | 7.54 | 1.08 | 98 | 1110 | 11.33 |
| 2018 | MIT B | UG | 37 | 10-6 | 164.4 | 163.1 | 1.3 | 7.62 | 1.25 | 122 | 1510 | 12.38 |
ACF Nationals 2015
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 2 (Prelims) | MIT B | Chicago A | Loss | 55 - 450 | 2 | 1 | 20.00 | Minnesota + Washington |
| 2015 | 3 (Prelims) | MIT B | RIT | Win | 230 - 40 | 11 | 2 | 11.82 | Chicago A |
| 2015 | 4 (Prelims) | MIT B | McMaster A | Win | 160 - 90 | 8 | 0 | 10.00 | Virginia and Yale |
| 2015 | 5 (Prelims) | MIT B | Minnesota A | Win | 240 - 220 | 9 | 0 | 16.67 | Rice + Illinois + W+M |
| 2015 | 6 (Prelims) | MIT B | Notre Dame A | Loss | 125 - 165 | 6 | 3 | 13.33 | Michigan + Toronto |
| 2015 | 7 (Prelims) | MIT B | Alberta | Loss | 170 - 255 | 7 | 0 | 14.29 | Stanford B + Columbia |
| 2015 | 8 (Prelims) | MIT B | Rutgers | Loss | 85 - 180 | 6 | 3 | 6.67 | Maryland + NYU |
| 2015 | 9 (Prelims) | MIT B | Michigan A | Loss | 240 - 275 | 10 | 0 | 14.00 | McGill + WUSTL |
| 2015 | 10 (Prelims) | MIT B | Rice | Win | 170 - 145 | 7 | 4 | 17.14 | Stanford A |
| 2015 | 11 (Prelims) | MIT B | Penn B | Win | 225 - 160 | 10 | 1 | 13.00 | Ottawa + Harvard |
| 2015 | 12 (Prelims) | MIT B | Northwestern | Loss | 140 - 250 | 7 | 4 | 12.86 | UCSD A |
| 2015 | 14 (Playoffs) | MIT B | Washington | Win | 180 - 95 | 10 | 2 | 9.00 | Editors 1 |
| 2015 | 15 (Playoffs) | MIT B | Detroit Catholic Central | Win | 180 - 175 | 8 | 2 | 13.75 | Editors 2 |
| 2015 | 16 (Playoffs) | MIT B | Chicago B | Win | 140 - 100 | 9 | 0 | 5.56 | Editors 3 |
| 2015 | 17 (Playoffs) | MIT B | NYU | Win | 240 - 155 | 11 | 2 | 12.73 | Dartmouth |
| 2015 | 18 (Playoffs) | MIT B | Oxford A | Loss | 95 - 245 | 5 | 1 | 10.00 | Editors 4 |
| 2015 | 19 (Playoffs) | MIT B | McGill | Loss | 115 - 220 | 6 | 3 | 11.67 | Editors 5 |
| 2015 | 21 (Playoffs) | MIT B | Northwestern | Loss | 130 - 195 | 7 | 0 | 8.57 | VCU and Berkeley |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2015 | MIT B | Julian Fuchs | 18 | 59 | 13 | 525 | 29.17 |
| 2015 | MIT B | Saumil Bandyopadhyay | 18 | 30 | 6 | 270 | 15.00 |
| 2015 | MIT B | Bryce Hwang | 18 | 28 | 8 | 240 | 13.33 |
| 2015 | MIT B | Oliver Ren | 18 | 22 | 1 | 215 | 11.94 |
ACF Nationals 2016
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 1 (Prelims) | MIT B | Louisville | Win | 220 - 185 | 10 | 0 | 12.00 | Georgia Tech |
| 2016 | 2 (Prelims) | MIT B | Notre Dame A | Win | 205 - 65 | 11 | 3 | 10.00 | Michigan B + Chicago C + Illinois |
| 2016 | 4 (Prelims) | MIT B | Maryland A | Loss | 145 - 360 | 7 | 1 | 11.43 | Stanford A + Louisville |
| 2016 | 5 (Prelims) | MIT B | Chicago B | Win | 260 - 185 | 11 | 0 | 13.64 | Maryland A + McGill |
| 2016 | 6 (Prelims) | MIT B | Michigan B | Win | 200 - 190 | 9 | 2 | 13.33 | WUSTL + Virginia |
| 2016 | 7 (Prelims) | MIT B | VCU A | Win | 235 - 15 | 11 | 1 | 11.82 | Dartmouth + Chicago B |
| 2016 | 8 (Prelims) | MIT B | Virginia A | Loss | 135 - 270 | 6 | 2 | 14.17 | Columbia A + Columbia B |
| 2016 | 9 (Prelims) | MIT B | Georgia Tech | Win | 235 - 175 | 9 | 1 | 16.67 | MIT A |
| 2016 | 10 (Prelims) | MIT B | Florida A | Loss | 170 - 185 | 7 | 0 | 14.29 | Michigan A |
| 2016 | 11 (Prelims) | MIT B | Yale A | Loss | 160 - 175 | 8 | 0 | 10.00 | Berkeley A |
| 2016 | 13 (Playoffs) | MIT B | WUSTL | Win | 200 - 190 | 9 | 0 | 12.22 | Editors 1 |
| 2016 | 14 (Playoffs) | MIT B | Columbia B | Loss | 100 - 260 | 5 | 2 | 12.00 | Editors 2 |
| 2016 | 15 (Playoffs) | MIT B | Dartmouth A | Win | 230 - 185 | 11 | 2 | 11.82 | VCU + Virginia + Oxford |
| 2016 | 16 (Playoffs) | MIT B | Chicago C | Win | 190 - 185 | 9 | 0 | 11.11 | Editors 3 |
| 2016 | 17 (Playoffs) | MIT B | Oklahoma | Loss | 160 - 165 | 7 | 2 | 14.29 | Editors 4 |
| 2016 | 18 (Playoffs) | MIT B | Stanford B | Loss | 125 - 260 | 6 | 1 | 11.67 | Editors 5 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2016 | MIT B | Julian Fuchs | 16 | 60 | 5 | 575 | 35.94 |
| 2016 | MIT B | Bryce Hwang | 14 | 33 | 6 | 300 | 21.43 |
| 2016 | MIT B | Oliver Ren | 15 | 29 | 3 | 275 | 18.33 |
| 2016 | MIT B | Joshua Xiong | 11 | 10 | 2 | 90 | 8.18 |
| 2016 | MIT B | Erica Liu | 10 | 4 | 1 | 35 | 3.50 |
ACF Nationals 2017
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 1 (Prelims) | MIT B | WUSTL | Loss | 130 - 270 | 6 | 2 | 13.33 | Berkeley A + Tennessee |
| 2017 | 2 (Prelims) | MIT B | Columbia A | Loss | 80 - 315 | 4 | 0 | 10.00 | Chicago A + JHU |
| 2017 | 4 (Prelims) | MIT B | Rutgers | Loss | 100 - 250 | 5 | 0 | 10.00 | Ohio St + Cambridge + Oxford B |
| 2017 | 5 (Prelims) | MIT B | Tennessee | Loss | 210 - 230 | 10 | 0 | 11.00 | Stanford + Harvard |
| 2017 | 6 (Prelims) | MIT B | Chicago A | Loss | 140 - 430 | 5 | 0 | 18.00 | WUSTL + UVA + Toronto + Penn |
| 2017 | 7 (Prelims) | MIT B | Yale C | Win | 135 - 105 | 7 | 3 | 11.43 | Yale A + Duke |
| 2017 | 8 (Prelims) | MIT B | Virginia A | Loss | 125 - 280 | 6 | 1 | 11.67 | Maryland |
| 2017 | 10 (Playoffs) | MIT B | Rice | Win | 210 - 140 | 10 | 0 | 11.00 | Editors 1 |
| 2017 | 11 (Playoffs) | MIT B | Amherst | Loss | 100 - 280 | 5 | 2 | 12.00 | Editors 2 |
| 2017 | 12 (Playoffs) | MIT B | Central Florida | Win | 215 - 45 | 11 | 1 | 10.00 | Editors 3 |
| 2017 | 13 (Playoffs) | MIT B | Toronto B | Win | 160 - 95 | 8 | 0 | 10.00 | Editors 4 |
| 2017 | 14 (Playoffs) | MIT B | Ottawa | Win | 195 - 70 | 10 | 3 | 11.00 | Editors 5 |
| 2017 | 15 (Playoffs) | MIT B | New College of Florida | Win | 220 - 105 | 11 | 2 | 10.91 | Editors 6 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2017 | MIT B | Joshua Xiong | 13 | 33 | 4 | 310 | 23.85 |
| 2017 | MIT B | Clare Keenan | 13 | 25 | 3 | 235 | 18.08 |
| 2017 | MIT B | Kevin Li | 13 | 25 | 5 | 225 | 17.31 |
| 2017 | MIT B | Erica Liu | 13 | 15 | 2 | 140 | 10.77 |
ACF Nationals 2018
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 1 (Prelims) | MIT B | Chicago C | Win | 200 - 100 | 10 | 2 | 11.00 | Oxford + Duke |
| 2018 | 2 (Prelims) | MIT B | Berkeley B | Loss | 125 - 330 | 6 | 1 | 11.67 | Minnesota A |
| 2018 | 3 (Prelims) | MIT B | Duke | Loss | 115 - 260 | 5 | 3 | 16.00 | Michigan A |
| 2018 | 4 (Prelims) | MIT B | Kentucky | Loss | 115 - 135 | 6 | 1 | 10.00 | Maryland A |
| 2018 | 5 (Prelims) | MIT B | Minnesota B | Loss | 140 - 165 | 6 | 2 | 15.00 | Oklahoma + Michigan B |
| 2018 | 6 (Prelims) | MIT B | Penn A | Loss | 50 - 430 | 3 | 0 | 6.67 | JHU A + Florida |
| 2018 | 8 (Prelims) | MIT B | Illinois A | Loss | 50 - 155 | 3 | 2 | 10.00 | Virginia A |
| 2018 | 9 (Playoffs) | MIT B | Penn State | Win | 220 - 165 | 9 | 2 | 15.56 | Editors 1 |
| 2018 | 10 (Playoffs) | MIT B | Central Florida | Win | 185 - 100 | 9 | 1 | 11.11 | Editors 2 |
| 2018 | 11 (Playoffs) | MIT B | North Carolina | Win | 240 - 120 | 11 | 0 | 11.82 | Editors 3 |
| 2018 | 12 (Playoffs) | MIT B | Chicago D | Win | 195 - 145 | 10 | 1 | 10.00 | Editors 4 |
| 2018 | 13 (Playoffs) | MIT B | Harvard B | Win | 185 - 95 | 7 | 1 | 17.14 | Editors 5 |
| 2018 | 14 (Playoffs) | MIT B | Delaware | Win | 205 - 195 | 9 | 1 | 13.33 | Editors 6 |
| 2018 | 15 (Playoffs) | MIT B | New College of Florida | Win | 265 - 0 | 12 | 1 | 12.50 | Editors 7 |
| 2018 | 16 (Playoffs) | MIT B | Penn B | Win | 160 - 130 | 8 | 2 | 11.25 | Editors 8 |
| 2018 | 17 (Playoffs) | MIT B | Caltech A | Win | 180 - 85 | 8 | 0 | 12.50 | Editors 9 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2018 | MIT B | Joshua Xiong | 16 | 43 | 6 | 400 | 25.00 |
| 2018 | MIT B | Eric Lu | 16 | 31 | 7 | 275 | 17.19 |
| 2018 | MIT B | Clare Keenan | 16 | 24 | 1 | 235 | 14.69 |
| 2018 | MIT B | Mihir Khambete | 16 | 24 | 6 | 210 | 13.12 |