| Year | Team | Status | Finish | W-L | PPG | PAPG | Margin | TU/G | N/G | BHrd | BPts | PPB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008 | MIT A | 8 | 8-4 | 178.8 | 172.9 | 5.9 | 8.00 | 1.75 | 96 | 1290 | 13.44 | |
| 2009 | MIT A | 8 | 8-7 | 179.0 | 184.0 | -5.0 | 7.87 | 1.13 | 118 | 1590 | 13.47 | |
| 2013 | MIT A | D2 | 34 | 4-13 | 98.5 | 189.4 | -90.9 | 5.41 | 1.35 | 92 | 870 | 9.46 |
| 2015 | MIT A | 7 | 14-6 | 247.2 | 188.0 | 59.2 | 9.80 | 1.75 | 196 | 3160 | 16.12 | |
| 2016 | MIT A | 7 | 13-6 | 260.0 | 233.2 | 26.8 | 10.00 | 1.68 | 190 | 3200 | 16.84 | |
| 2017 | MIT A | UG | 23 | 8-6 | 206.4 | 175.0 | 31.4 | 9.00 | 1.57 | 126 | 1740 | 13.81 |
| 2018 | MIT A | 27 | 10-7 | 190.0 | 179.1 | 10.9 | 8.35 | 1.53 | 142 | 1940 | 13.66 | |
| 2019 | MIT A | UG | 28 | 6-8 | 161.1 | 205.7 | -44.6 | 7.57 | 1.07 | 106 | 1270 | 11.98 |
ACF Nationals 2008
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2008 | 1 (Prelims) | MIT A | Chicago B | Win | 230 - 45 | 10 | 0 | 13.00 | No Packet Recorded |
| 2008 | 2 (Prelims) | MIT A | Maryland A | Loss | 45 - 380 | 3 | 1 | 6.67 | No Packet Recorded |
| 2008 | 3 (Prelims) | MIT A | Rom, Bruce, Ted (exhibition) | Loss | 110 - 315 | 6 | 2 | 10.00 | No Packet Recorded |
| 2008 | 4 (Prelims) | MIT A | Stanford A | Loss | 85 - 305 | 5 | 1 | 8.00 | No Packet Recorded |
| 2008 | 5 (Prelims) | MIT A | Minnesota A | Win | 205 - 115 | 9 | 3 | 14.44 | No Packet Recorded |
| 2008 | 6 (Prelims) | MIT A | Florida State | Win | 275 - 75 | 11 | 1 | 15.45 | No Packet Recorded |
| 2008 | 8 (Playoffs) | MIT A | Vanderbilt | Win | 210 - 35 | 10 | 4 | 13.00 | No Packet Recorded |
| 2008 | 9 (Playoffs) | MIT A | Harvard A | Loss | 150 - 240 | 6 | 2 | 16.67 | No Packet Recorded |
| 2008 | 11 (Playoffs) | MIT A | Rutgers | Win | 200 - 160 | 8 | 4 | 17.50 | No Packet Recorded |
| 2008 | 12 (Playoffs) | MIT A | Rom, Bruce, Ted (exhibition) | Win | 285 - 130 | 11 | 1 | 16.36 | No Packet Recorded |
| 2008 | 13 (Playoffs) | MIT A | UC-Irvine | Win | 155 - 140 | 9 | 1 | 7.78 | No Packet Recorded |
| 2008 | 14 (Playoffs) | MIT A | UCLA | Win | 195 - 135 | 8 | 1 | 15.00 | No Packet Recorded |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2008 | MIT A | Garuda (pseudonym) | 12 | 34 | 8 | 300 | 25.00 |
| 2008 | MIT A | Gullinbursti (pseudonym) | 12 | 21 | 3 | 195 | 16.25 |
| 2008 | MIT A | Sleipnir (pseudonym) | 12 | 21 | 5 | 185 | 15.42 |
| 2008 | MIT A | Nandi (pseudonym) | 12 | 20 | 5 | 175 | 14.58 |
ACF Nationals 2009
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2009 | 1 (Prelims) | MIT A | Penn A | Win | 235 - 50 | 10 | 1 | 14.00 | Brown |
| 2009 | 2 (Prelims) | MIT A | Chicago B | Win | 160 - 95 | 7 | 0 | 12.86 | Brandeis |
| 2009 | 3 (Prelims) | MIT A | Maryland A | Win | 195 - 115 | 10 | 1 | 10.00 | Chicago B + Harvard |
| 2009 | 4 (Prelims) | MIT A | Brown A | Loss | 40 - 345 | 3 | 2 | 6.67 | VCU |
| 2009 | 5 (Prelims) | MIT A | South Carolina | Win | 220 - 170 | 10 | 2 | 13.00 | Illinois + Maryland |
| 2009 | 6 (Prelims) | MIT A | Stanford A | Loss | 120 - 400 | 5 | 0 | 14.00 | Minnesota A |
| 2009 | 8 (Prelims) | MIT A | Brandeis | Win | 270 - 30 | 12 | 2 | 13.33 | Missouri State + UCSD |
| 2009 | 10 (Prelims) | MIT A | Minnesota A | Loss | 130 - 415 | 5 | 0 | 16.00 | Truman State + Dartmouth |
| 2009 | 11 (Prelims) | MIT A | UCSD A | Win | 155 - 65 | 8 | 3 | 11.25 | Stanford |
| 2009 | 12 (Prelims) | MIT A | Truman State | Win | 225 - 40 | 10 | 3 | 14.00 | Rutgers |
| 2009 | 13 (Prelims) | MIT A | Rutgers | Win | 390 - 30 | 14 | 0 | 17.86 | Chicago A |
| 2009 | 14 (Playoffs) | MIT A | Harvard A | Loss | 170 - 190 | 8 | 0 | 11.25 | No Packet Recorded |
| 2009 | 15 (Playoffs) | MIT A | Illinois A | Loss | 100 - 260 | 6 | 2 | 8.33 | No Packet Recorded |
| 2009 | 16 (Playoffs) | MIT A | Chicago A | Loss | 135 - 320 | 4 | 1 | 25.00 | No Packet Recorded |
| 2009 | 17 (Playoffs) | MIT A | Dartmouth A | Loss | 140 - 235 | 6 | 0 | 13.33 | No Packet Recorded |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2009 | MIT A | Mark | 15 | 34 | 0 | 340 | 22.67 |
| 2009 | MIT A | Ryan | 15 | 39 | 13 | 325 | 21.67 |
| 2009 | MIT A | Grace | 15 | 24 | 0 | 240 | 16.00 |
| 2009 | MIT A | Zach | 15 | 21 | 4 | 190 | 12.67 |
ACF Nationals 2013
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 1 (Prelims) | MIT A | Rutgers | Loss | 65 - 160 | 4 | 3 | 10.00 | VCU + Michigan |
| 2013 | 2 (Prelims) | MIT A | Chicago B | Loss | 90 - 320 | 6 | 2 | 6.67 | Illinois A + Carleton |
| 2013 | 3 (Prelims) | MIT A | Northwestern | Loss | 80 - 180 | 4 | 0 | 10.00 | Mich St + Ottawa + SCAR |
| 2013 | 4 (Prelims) | MIT A | London | Loss | 25 - 400 | 2 | 1 | 5.00 | Rutgers + Columbia |
| 2013 | 6 (Prelims) | MIT A | Maryland A | Loss | 90 - 265 | 4 | 0 | 12.50 | London + WUSTL |
| 2013 | 7 (Prelims) | MIT A | Illinois B | Loss | 60 - 170 | 4 | 4 | 10.00 | Chicago A + Maryland + Penn B |
| 2013 | 8 (Prelims) | MIT A | Penn A | Loss | 55 - 440 | 3 | 1 | 10.00 | Berkeley + Rice |
| 2013 | 9 (Prelims) | MIT A | Rice | Loss | 90 - 180 | 5 | 2 | 10.00 | Penn A + Harvard + Stanford |
| 2013 | 10 (Playoffs) | MIT A | Ottawa | Win | 170 - 105 | 7 | 0 | 14.29 | Yale + Virginia + Ohio St |
| 2013 | 11 (Playoffs) | MIT A | VCU A | Loss | 145 - 170 | 8 | 1 | 8.75 | Alb + Dart + GT + NYU + NU |
| 2013 | 12 (Playoffs) | MIT A | Hunter College | Win | 180 - 30 | 10 | 2 | 9.00 | Cheyne + Gupta + Carson |
| 2013 | 13 (Playoffs) | MIT A | Penn B | Win | 135 - 120 | 7 | 1 | 10.00 | Editors 1 |
| 2013 | 14 (Playoffs) | MIT A | Dartmouth A | Loss | 40 - 280 | 3 | 2 | 6.67 | Editors 2 |
| 2013 | 15 (Playoffs) | MIT A | Chicago D | Loss | 55 - 130 | 4 | 1 | 5.00 | Editors 3 |
| 2013 | 16 (Playoffs) | MIT A | Chicago C | Loss | 70 - 105 | 5 | 2 | 6.00 | Editors 4 |
| 2013 | 17 (Playoffs) | MIT A | Carleton | Loss | 110 - 125 | 6 | 0 | 8.33 | Editors 5 |
| 2013 | 18 (Playoffs) | MIT A | South Carolina | Win | 215 - 40 | 10 | 1 | 12.00 | Editors 6 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2013 | MIT A | Stephen Eltinge | 17 | 63 | 12 | 570 | 33.53 |
| 2013 | MIT A | Andre Kessler | 17 | 22 | 7 | 185 | 10.88 |
| 2013 | MIT A | Max Wimberley | 17 | 7 | 4 | 50 | 2.94 |
ACF Nationals 2015
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 2 (Prelims) | MIT A | Waterloo A | Win | 240 - 90 | 10 | 2 | 15.00 | Minnesota + Washington |
| 2015 | 3 (Prelims) | MIT A | UCLA | Win | 305 - 100 | 14 | 1 | 12.14 | Chicago A |
| 2015 | 4 (Prelims) | MIT A | William and Mary | Win | 260 - 175 | 10 | 2 | 17.00 | Virginia and Yale |
| 2015 | 5 (Prelims) | MIT A | Washington | Win | 370 - 110 | 14 | 2 | 17.14 | Rice + Illinois + W+M |
| 2015 | 6 (Prelims) | MIT A | Notre Dame B | Win | 360 - 15 | 13 | 0 | 17.69 | Michigan + Toronto |
| 2015 | 7 (Prelims) | MIT A | Oxford A | Win | 245 - 150 | 9 | 3 | 18.89 | Stanford B + Columbia |
| 2015 | 8 (Prelims) | MIT A | Yale A | Win | 220 - 205 | 9 | 0 | 14.44 | Maryland + NYU |
| 2015 | 9 (Prelims) | MIT A | South Carolina | Win | 365 - 25 | 15 | 3 | 15.33 | McGill + WUSTL |
| 2015 | 10 (Prelims) | MIT A | Illinois A | Win | 235 - 205 | 9 | 1 | 16.67 | Stanford A |
| 2015 | 11 (Prelims) | MIT A | Penn C | Win | 350 - 75 | 14 | 2 | 15.71 | Ottawa + Harvard |
| 2015 | 12 (Prelims) | MIT A | Virginia A | Loss | 140 - 335 | 5 | 2 | 20.00 | UCSD A |
| 2015 | 14 (Playoffs) | MIT A | UCSD A | Win | 260 - 250 | 9 | 0 | 18.89 | Editors 1 |
| 2015 | 15 (Playoffs) | MIT A | Michigan A | Win | 325 - 265 | 11 | 1 | 20.00 | Editors 2 |
| 2015 | 16 (Playoffs) | MIT A | Stanford A | Loss | 125 - 360 | 6 | 3 | 13.33 | Editors 3 |
| 2015 | 17 (Playoffs) | MIT A | Penn A | Loss | 165 - 405 | 7 | 1 | 14.29 | Dartmouth |
| 2015 | 18 (Playoffs) | MIT A | Maryland A | Loss | 145 - 260 | 7 | 3 | 12.86 | Editors 4 |
| 2015 | 19 (Playoffs) | MIT A | Chicago A | Loss | 205 - 275 | 7 | 1 | 20.00 | Editors 5 |
| 2015 | 20 (Playoffs) | MIT A | Minnesota A | Win | 205 - 190 | 9 | 1 | 13.33 | Penn B + Penn C + Kenyon |
| 2015 | 21 (Playoffs) | MIT A | Columbia A | Win | 300 - 135 | 12 | 2 | 15.83 | VCU and Berkeley |
| 2015 | 22 (Playoffs) | MIT A | Stanford B | Loss | 125 - 135 | 6 | 5 | 15.00 | Editors 6 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2015 | MIT A | Neil Gurram | 20 | 120 | 21 | 1095 | 54.75 |
| 2015 | MIT A | Stephen Eltinge | 20 | 41 | 6 | 380 | 19.00 |
| 2015 | MIT A | Anderson Wang | 20 | 19 | 6 | 160 | 8.00 |
| 2015 | MIT A | James Rowan | 20 | 16 | 2 | 150 | 7.50 |
ACF Nationals 2016
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 1 (Prelims) | MIT A | McMaster A | Win | 345 - 100 | 13 | 1 | 16.92 | Georgia Tech |
| 2016 | 2 (Prelims) | MIT A | Berkeley B | Win | 285 - 125 | 12 | 3 | 15.00 | Michigan B + Chicago C + Illinois |
| 2016 | 3 (Prelims) | MIT A | Oxford A | Win | 310 - 205 | 12 | 0 | 15.83 | MIT B + Stanford B |
| 2016 | 4 (Prelims) | MIT A | McGill | Win | 335 - 220 | 11 | 1 | 20.91 | Stanford A + Louisville |
| 2016 | 5 (Prelims) | MIT A | Stanford B | Win | 300 - 210 | 11 | 0 | 17.27 | Maryland A + McGill |
| 2016 | 6 (Prelims) | MIT A | Yale B | Win | 335 - 145 | 12 | 3 | 19.17 | WUSTL + Virginia |
| 2016 | 7 (Prelims) | MIT A | Princeton | Win | 335 - 135 | 13 | 1 | 16.15 | Dartmouth + Chicago B |
| 2016 | 8 (Prelims) | MIT A | Dartmouth A | Win | 320 - 175 | 12 | 0 | 16.67 | Columbia A + Columbia B |
| 2016 | 10 (Prelims) | MIT A | Duke | Win | 300 - 160 | 12 | 2 | 15.83 | Michigan A |
| 2016 | 11 (Prelims) | MIT A | Chicago A | Loss | 135 - 385 | 5 | 1 | 18.00 | Berkeley A |
| 2016 | 13 (Playoffs) | MIT A | Minnesota A | Win | 215 - 205 | 9 | 1 | 14.44 | Editors 1 |
| 2016 | 14 (Playoffs) | MIT A | Columbia A | Win | 265 - 150 | 12 | 1 | 12.50 | Editors 2 |
| 2016 | 15 (Playoffs) | MIT A | Yale A | Loss | 280 - 315 | 10 | 2 | 19.00 | VCU + Virginia + Oxford |
| 2016 | 16 (Playoffs) | MIT A | Michigan A | Loss | 85 - 440 | 5 | 3 | 10.00 | Editors 3 |
| 2016 | 17 (Playoffs) | MIT A | Stanford A | Loss | 145 - 355 | 6 | 3 | 16.67 | Editors 4 |
| 2016 | 18 (Playoffs) | MIT A | Maryland A | Loss | 225 - 320 | 8 | 3 | 20.00 | Editors 5 |
| 2016 | 19 (Playoffs) | MIT A | Berkeley A | Loss | 50 - 445 | 2 | 4 | 25.00 | Penn + Oklahoma |
| 2016 | 20 (Playoffs) | MIT A | Illinois A | Win | 415 - 125 | 15 | 1 | 18.00 | Editors 6 |
| 2016 | 21 (Playoffs) | MIT A | Louisville | Win | 260 - 215 | 10 | 2 | 17.00 | Editors 7 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2016 | MIT A | Neil Gurram | 19 | 134 | 28 | 1200 | 63.16 |
| 2016 | MIT A | Anderson Wang | 19 | 31 | 0 | 310 | 16.32 |
| 2016 | MIT A | Saumil Bandyopadhyay | 19 | 14 | 4 | 120 | 6.32 |
| 2016 | MIT A | Clare Keenan | 19 | 11 | 0 | 110 | 5.79 |
ACF Nationals 2017
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 1 (Prelims) | MIT A | Minnesota A | Loss | 175 - 230 | 8 | 3 | 13.75 | Berkeley A + Tennessee |
| 2017 | 2 (Prelims) | MIT A | Oxford A | Loss | 120 - 250 | 6 | 2 | 11.67 | Chicago A + JHU |
| 2017 | 4 (Prelims) | MIT A | NYU | Loss | 150 - 165 | 7 | 4 | 14.29 | Ohio St + Cambridge + Oxford B |
| 2017 | 5 (Prelims) | MIT A | Amherst | Win | 270 - 115 | 12 | 0 | 12.50 | Stanford + Harvard |
| 2017 | 6 (Prelims) | MIT A | Duke | Win | 260 - 220 | 10 | 0 | 16.00 | WUSTL + UVA + Toronto + Penn |
| 2017 | 7 (Prelims) | MIT A | Michigan A | Loss | 120 - 350 | 5 | 2 | 16.00 | Yale A + Duke |
| 2017 | 10 (Playoffs) | MIT A | Yale B | Win | 260 - 80 | 11 | 0 | 13.64 | Editors 1 |
| 2017 | 11 (Playoffs) | MIT A | Tennessee | Win | 330 - 70 | 13 | 0 | 15.38 | Editors 2 |
| 2017 | 12 (Playoffs) | MIT A | Cambridge | Win | 200 - 195 | 8 | 2 | 16.25 | Editors 3 |
| 2017 | 13 (Playoffs) | MIT A | Johns Hopkins | Win | 295 - 90 | 13 | 1 | 13.08 | Editors 4 |
| 2017 | 14 (Playoffs) | MIT A | Harvard A | Loss | 195 - 205 | 9 | 1 | 12.22 | Editors 5 |
| 2017 | 15 (Playoffs) | MIT A | Florida A | Win | 190 - 180 | 8 | 2 | 15.00 | Editors 6 |
| 2017 | 16 (Playoffs) | MIT A | Virginia A | Loss | 180 - 245 | 8 | 2 | 13.75 | Editors 7 |
| 2017 | 17 (Playoffs) | MIT A | Carleton | Win | 145 - 55 | 8 | 3 | 10.00 | Editors 8 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2017 | MIT A | Julian Fuchs | 14 | 58 | 8 | 540 | 38.57 |
| 2017 | MIT A | Bryce Hwang | 14 | 39 | 10 | 340 | 24.29 |
| 2017 | MIT A | Oliver Ren | 14 | 19 | 1 | 185 | 13.21 |
| 2017 | MIT A | Saumil Bandyopadhyay | 14 | 10 | 3 | 85 | 6.07 |
ACF Nationals 2018
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 1 (Prelims) | MIT A | NYU | Win | 220 - 125 | 10 | 0 | 12.00 | Oxford + Duke |
| 2018 | 2 (Prelims) | MIT A | Columbia A | Loss | 65 - 400 | 3 | 1 | 13.33 | Minnesota A |
| 2018 | 3 (Prelims) | MIT A | Minnesota A | Loss | 165 - 305 | 8 | 1 | 11.25 | Michigan A |
| 2018 | 4 (Prelims) | MIT A | Caltech A | Win | 365 - 85 | 15 | 1 | 14.67 | Maryland A |
| 2018 | 6 (Prelims) | MIT A | Chicago D | Win | 200 - 180 | 8 | 2 | 16.25 | JHU A + Florida |
| 2018 | 7 (Prelims) | MIT A | Oklahoma | Loss | 135 - 275 | 6 | 1 | 13.33 | NYU + JHU B |
| 2018 | 8 (Prelims) | MIT A | UCSD A | Loss | 95 - 130 | 5 | 3 | 12.00 | Virginia A |
| 2018 | 9 (Playoffs) | MIT A | Carnegie Mellon | Win | 170 - 95 | 7 | 2 | 15.71 | Editors 1 |
| 2018 | 10 (Playoffs) | MIT A | UCLA | Win | 285 - 75 | 13 | 1 | 12.31 | Editors 2 |
| 2018 | 11 (Playoffs) | MIT A | Berkeley C | Loss | 95 - 230 | 5 | 1 | 10.00 | Editors 3 |
| 2018 | 12 (Playoffs) | MIT A | Kentucky | Win | 265 - 100 | 11 | 1 | 14.55 | Editors 4 |
| 2018 | 13 (Playoffs) | MIT A | Rutgers | Win | 200 - 140 | 9 | 2 | 13.33 | Editors 5 |
| 2018 | 14 (Playoffs) | MIT A | Michigan State | Win | 275 - 155 | 11 | 1 | 15.45 | Editors 6 |
| 2018 | 15 (Playoffs) | MIT A | Virginia A | Loss | 155 - 290 | 6 | 1 | 16.67 | Editors 7 |
| 2018 | 16 (Playoffs) | MIT A | Washington | Win | 240 - 120 | 10 | 0 | 14.00 | Editors 8 |
| 2018 | 17 (Playoffs) | MIT A | Chicago C | Win | 180 - 65 | 9 | 2 | 11.11 | Editors 9 |
| 2018 | 18 (Playoffs) | MIT A | Toronto A | Loss | 120 - 275 | 6 | 6 | 15.00 | Editors 10 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2018 | MIT A | Julian Fuchs | 17 | 69 | 8 | 650 | 38.24 |
| 2018 | MIT A | Bryce Hwang | 17 | 41 | 9 | 365 | 21.47 |
| 2018 | MIT A | Oliver Ren | 17 | 18 | 7 | 145 | 8.53 |
| 2018 | MIT A | Saumil Bandyopadhyay | 17 | 14 | 2 | 130 | 7.65 |
ACF Nationals 2019
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 1 (Prelims) | MIT A | Minnesota A | Loss | 45 - 445 | 3 | 3 | 10.00 | Yale A + Michigan |
| 2019 | 2 (Prelims) | MIT A | Maryland B | Win | 200 - 190 | 10 | 0 | 10.00 | UVA + Rutgers + Chicago B |
| 2019 | 3 (Prelims) | MIT A | Berkeley A | Loss | 70 - 355 | 4 | 0 | 7.50 | McGill + UCLA + Oxford |
| 2019 | 4 (Prelims) | MIT A | Toronto A | Loss | 90 - 295 | 4 | 0 | 12.50 | Berkeley A + Ohio St |
| 2019 | 6 (Prelims) | MIT A | Auburn | Win | 240 - 50 | 10 | 0 | 14.00 | Minn A + Harvard A + B |
| 2019 | 7 (Prelims) | MIT A | Harvard B | Loss | 150 - 170 | 7 | 2 | 12.86 | Florida A + Michigan St |
| 2019 | 8 (Prelims) | MIT A | Illinois B | Win | 235 - 85 | 12 | 1 | 10.00 | Illinois A + Wright St |
| 2019 | 10 (Playoffs) | MIT A | Chicago C | Win | 220 - 215 | 9 | 0 | 14.44 | Editors 1 |
| 2019 | 11 (Playoffs) | MIT A | UCLA | Loss | 65 - 280 | 4 | 3 | 10.00 | Editors 2 |
| 2019 | 12 (Playoffs) | MIT A | Yale B | Win | 185 - 150 | 10 | 3 | 10.00 | Editors 3 |
| 2019 | 13 (Playoffs) | MIT A | Michigan A | Win | 360 - 40 | 15 | 0 | 14.00 | Editors 4 |
| 2019 | 15 (Superplayoffs) | MIT A | Minnesota B | Loss | 160 - 180 | 8 | 2 | 11.25 | Editors 6 |
| 2019 | 16 (Superplayoffs) | MIT A | WUSTL | Loss | 85 - 220 | 4 | 1 | 12.50 | Editors 7 |
| 2019 | 17 (Superplayoffs) | MIT A | Oxford A | Loss | 150 - 205 | 6 | 0 | 15.00 | Editors 8 |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2019 | MIT A | Joshua Xiong | 14 | 44 | 6 | 410 | 29.29 |
| 2019 | MIT A | Eric Lu | 14 | 39 | 8 | 350 | 25.00 |
| 2019 | MIT A | Clare Keenan | 14 | 23 | 1 | 225 | 16.07 |