| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Tulane University | Green Wave | 19–1 | |
| 2 | Tulane University | Angry Wave | 15–5 | |
| 3 | University of Texas | Longhorns | 9–11 | |
| 4 | University of Wisconsin | Badgers | 7–13 | |
| 5 | Rice University | Owls | 0–20 |
Each side is the sum of its three boats (the skipper's fleet rating times 0.72 plus a team race offset learned from their past matches, plus the crew's offset and a small experience term) plus the school's team race strength and a home-water edge for the host. The win probability is a logistic function of the difference. The forecast was made before the event: the model was refitted on every match sailed before the first day, with fleet ratings as of the week before.
Fitted on the 19,057 team race matches sailed before 2023-03-04, using the line-ups that actually raced. It called 46 of 50 matches (92%) with a log-loss of 0.225 (a coin flip scores 0.693), so the event went well for the forecast. Orderliness +0.29 ± 0.24: an orderly event, more orderly than 74% of college team race events (temperature of the forecast log-odds that best fits the results, relative to the league average; nothing about the field, venue or wind predicts it, see the Weather tab). vs forecast is a team's wins minus the wins the model expected from the matches it sailed: positive means it beat its rating.
| Place | School | Pred. | Strength | Boats (skipper / crew, boat value) | Pred. win % | Record | vs forecast |
|---|---|---|---|---|---|---|---|
| 1 | Tulane University Green Wave | 1 | 8.29 home +0.36 | Zander King / Alex Makoid 2.69 Peter Foley Iii / Kit Stoll William Keenan / Essie Clifton 2.52 | 94% | 19–1 (95%) | +0.2 |
| 2 | Tulane University Angry Wave | 2 | 6.71 home +0.36 | Matheo Graham-Capasso / Ella May Corckran Ashley Hoguet / Brady Starck Bobby Rielly / Raquel Shulman | 72% | 15–5 (75%) | +0.5 |
| 3 | University of Texas Longhorns | 3 | 4.81 | Reilly Linn / Sophia Herrada 1.21 Ethan Froelich / Leigha Forrest 2.31 Reese Zebrowski / Rohit Rajan | 39% | 9–11 (45%) | +1.3 |
| 4 | University of Wisconsin Badgers | 4 | 4.75 school −0.49 | Gavin Dempsey / Carmen Lineer Lucas Quinn / Noah Hallerman Charlie Herrick / Kate Thickens | 38% | 7–13 (35%) | −0.5 |
| 5 | Rice University Owls | 5 | 2.88 | Ricky Miller / Noah Rossi Leo Marek / Emery Engling Arthur Unger / Claytom Ramsey | 7% | 0–20 (0%) | −1.5 |
For each side, the performance strength is the value that would have made its record least surprising: the strength at which the model's expected wins over exactly these opponents equal the actual wins, with every opponent fixed at its pre-event strength. For a skipper, the same shift is applied only to their boat in the matches they sailed, with team-mates and opponents fixed; team-mates who sailed every match together therefore get the same number. Surprise is in bits: -log2 of the probability of the record at the pre-event strength minus the same at the performance strength. P(this good or better) treats matches as independent coin flips at the model's pre-event probabilities, so it ignores form within the day; read it as a rough guide.
Pre-event strength against the strength that would have made each record least surprising, everything else fixed. Δ is in the model's logit units, the same scale as the boat values above (a side is three boats plus the school term); green is a clear over-performance, red a clear under-performance. Skippers need three or more matches.
| Place | School | Strength | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| 3 | University of Texas Longhorns | 4.81 | 5.31 | 9–11 | 7.7 | +0.51 | 0.5 | 31% |
| 2 | Tulane University Angry Wave | 6.71 | 6.99 | 15–5 | 14.5 | +0.27 | 0.1 | 51% |
| 1 | Tulane University Green Wave | 8.29 | 8.46 | 19–1 | 18.8 | +0.17 | 0.0 | 67% |
| 4 | University of Wisconsin Badgers | 4.75 | 4.55 | 7–13 | 7.5 | −0.20 | 0.1 | 74% |
| 5 | Rice University Owls | 2.88 | -0.12 | 0–20 | 1.5 | ≤−3.00 | 2.1 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Reilly Linn | University of Texas | 1.21 | 1.71 | 9–11 | 7.7 | +0.51 | 0.5 | 31% |
| Reese Zebrowski | University of Texas | 0.95 | 1.46 | 9–11 | 7.7 | +0.51 | 0.5 | 31% |
| Matheo Graham-Capasso | Tulane University | 1.79 | 2.06 | 15–5 | 14.5 | +0.27 | 0.1 | 51% |
| Ashley Hoguet | Tulane University | 1.70 | 1.97 | 15–5 | 14.5 | +0.27 | 0.1 | 51% |
| Peter Foley Iii | Tulane University | 2.46 | 2.64 | 19–1 | 18.8 | +0.17 | 0.0 | 67% |
| William Keenan | Tulane University | 2.52 | 2.70 | 19–1 | 18.8 | +0.17 | 0.0 | 67% |
| Lucas Quinn | University of Wisconsin | 1.65 | 1.44 | 7–13 | 7.5 | −0.20 | 0.1 | 74% |
| Arthur Unger | Rice University | 0.52 | -2.48 | 0–20 | 1.5 | ≤−3.00 | 2.1 | >99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Wave | Wave | Longhorns | Badgers | Owls | |
|---|---|---|---|---|---|---|---|
| Tulane University Green Wave | 7–1 | ✕ | ✕ | W | W | W | |
| Tulane University Angry Wave | 7–1 | ✕ | ✕ | W | W | W | |
| University of Texas Longhorns | 2–2 | L | L | ✕ | W | W | |
| University of Wisconsin Badgers | 1–3 | L | L | L | ✕ | W | |
| Rice University Owls | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Wave | Wave | Longhorns | Badgers | Owls | |
|---|---|---|---|---|---|---|---|
| Tulane University Green Wave | 7–1 | ✕ | ✕ | W | W | W | |
| Tulane University Angry Wave | 7–1 | ✕ | ✕ | W | W | W | |
| University of Texas Longhorns | 2–2 | L | L | ✕ | W | W | |
| University of Wisconsin Badgers | 1–3 | L | L | L | ✕ | W | |
| Rice University Owls | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Wave | Wave | Longhorns | Badgers | Owls | |
|---|---|---|---|---|---|---|---|
| Tulane University Green Wave | 7–1 | ✕ | ✕ | W | W | W | |
| Tulane University Angry Wave | 7–1 | ✕ | ✕ | W | W | W | |
| University of Texas Longhorns | 1–3 | L | L | ✕ | L | W | |
| University of Wisconsin Badgers | 2–2 | L | L | W | ✕ | W | |
| Rice University Owls | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Wave | Wave | Longhorns | Badgers | Owls | |
|---|---|---|---|---|---|---|---|
| Tulane University Green Wave | 6–2 | ✕ | ✕ | W | W | W | |
| Tulane University Angry Wave | 6–2 | ✕ | ✕ | W | W | W | |
| University of Texas Longhorns | 2–2 | L | L | ✕ | W | W | |
| University of Wisconsin Badgers | 2–2 | L | L | L | ✕ | W | |
| Rice University Owls | 0–4 | L | L | L | L | ✕ |
| Team | Rec. | Wave | Wave | Longhorns | Badgers | Owls | |
|---|---|---|---|---|---|---|---|
| Tulane University Green Wave | 7–1 | ✕ | ✕ | W | W | W | |
| Tulane University Angry Wave | 7–1 | ✕ | ✕ | W | W | W | |
| University of Texas Longhorns | 2–2 | L | L | ✕ | W | W | |
| University of Wisconsin Badgers | 1–3 | L | L | L | ✕ | W | |
| Rice University Owls | 0–4 | L | L | L | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Green Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 2 | Angry Wave | 2-3-4 | def. | Longhorns | 1-5-6 | ||
| 3 | Badgers | 2-3-5 | def. | Owls | 1-4-6 | ||
| 4 | Green Wave | 1-2-5 | def. | Angry Wave | 3-4-6 | ||
| 5 | Longhorns | 2-3-4 | def. | Badgers | 1-5-6 | ||
| 6 | Angry Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 7 | Green Wave | 1-2-4 | def. | Longhorns | 3-5-6 | ||
| 8 | Angry Wave | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 9 | Longhorns | 1-2-3 | def. | Owls | 4-5-6 | ||
| 10 | Green Wave | 1-2-5 | def. | Badgers | 3-4-6 | ||
| 11 | Green Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 12 | Angry Wave | 1-2-4 | def. | Longhorns | 3-5-6 | ||
| 13 | Badgers | 1-3-5 | def. | Owls | 2-4-6 | ||
| 14 | Angry Wave | 1-3-4 | def. | Green Wave | 2-5-6 | ||
| 15 | Longhorns | 1-2-5 | def. | Badgers | 3-4-6 | ||
| 16 | Angry Wave | 1-2-5 | def. | Owls | 3-4-6 | ||
| 17 | Green Wave | 1-2-4 | def. | Longhorns | 3-5-6 | ||
| 18 | Angry Wave | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 19 | Longhorns | 1-2-5 | def. | Owls | 3-4-6 | ||
| 20 | Green Wave | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 21 | Green Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 22 | Angry Wave | 1-2-3 | def. | Longhorns | 4-5-6 | ||
| 23 | Badgers | 1-3-6 | def. | Owls | 2-4-5 | ||
| 24 | Green Wave | 1-2-4 | def. | Angry Wave | 3-5-6 | ||
| 25 | Badgers | 1-3-5 | def. | Longhorns | 2-4-6 | ||
| 26 | Angry Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 27 | Green Wave | 1-2-3 | def. | Longhorns | 4-5-6 | ||
| 28 | Angry Wave | 1-2-4 | def. | Badgers | 3-5-6 | ||
| 29 | Longhorns | 1-3-4 | def. | Owls | 2-5-6 | ||
| 30 | Green Wave | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 31 | Green Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 32 | Angry Wave | 1-2-4 | def. | Longhorns | 3-5-6 | ||
| 33 | Badgers | 1-2-4 | def. | Owls | 3-5-6 | ||
| 34 | Green Wave | 1-2-4 | def. | Angry Wave | 3-5-6 | ||
| 35 | Longhorns | 2-3-4 | def. | Badgers | 1-5-6 | ||
| 36 | Angry Wave | 1-2-4 | def. | Owls | 3-5-6 | ||
| 37 | Green Wave | 1-2-3 | def. | Longhorns | 4-5-6 | ||
| 38 | Badgers | 1-2-6 | def. | Angry Wave | 3-4-5 | ||
| 39 | Longhorns | 1-2-3 | def. | Owls | 4-5-6 | ||
| 40 | Green Wave | 1-2-3 | def. | Badgers | 4-5-6 | ||
| 41 | Green Wave | 1-2-3 | def. | Owls | 4-5-6 | ||
| 42 | Angry Wave | 1-2-5 | def. | Longhorns | 3-4-6 | ||
| 43 | Badgers | 1-2-5 | def. | Owls | 3-4-6 | ||
| 44 | Green Wave | 1-2-6 | def. | Angry Wave | 3-4-5 | ||
| 45 | Longhorns | 2-3-4 | def. | Badgers | 1-5-6 | ||
| 46 | Angry Wave | 1-2-4 | def. | Owls | 3-5-6 | ||
| 47 | Green Wave | 1-2-4 | def. | Longhorns | 3-5-6 | ||
| 48 | Angry Wave | 2-3-4 | def. | Badgers | 1-5-6 | ||
| 49 | Longhorns | 1-2-4 | def. | Owls | 3-5-6 | ||
| 50 | Green Wave | 1-3-5 | def. | Badgers | 2-4-6 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Tulane University | Green Wave | Peter Foley Iii '26 William Keenan '23 Zander King '25 |
Kit Stoll '23 Essie Clifton '25 Alex Makoid '25 |
|
| Tulane University | Angry Wave | Ashley Hoguet '26 Bobby Rielly '25 Matheo Graham-Capasso '26 |
Brady Starck '25 Raquel Shulman '25 Ella May Corckran '26 |
|
| University of Texas | Longhorns | Ethan Froelich '24 Reese Zebrowski '26 Reilly Linn '23 |
Leigha Forrest '24 Rohit Rajan '26 Sophia Herrada '24 |
|
| University of Wisconsin | Badgers | Charlie Herrick '26 Gavin Dempsey '26 Lucas Quinn '23 |
Kate Thickens '23 Carmen Lineer '26 Noah Hallerman '23 |
|
| Rice University | Owls | Arthur Unger '25 Leo Marek '26 Ricky Miller '26 |
Claytom Ramsey '23 Emery Engling '25 Noah Rossi '23 |
Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.10 means a rating gap counts about 8% more than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. How this is estimated · compare venues.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.