Third Round
Sunday, May 16 at 4:50 EDT
2021 Division I Women’s Tennis Championship
USTA National Campus
Orlando, Florida
#13 Georgia Tech vs #4 UCLA
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#13 Georgia TechRecord: 20-11ITA: 11 (48.83) Slam: 18 (90.48) TRN: 15 (86.47) Massey: 17 (7.85) UTR: 24 (61.57) USTA Poll: 16 (148.00) Coaches Poll: 11 |
#4 UCLARecord: 22-4✔ ITA: 4 (61.62) ✔ Slam: 4 (93.75) ✔ TRN: 5 (89.32) ✔ Massey: 4 (8.90) ✔ UTR: 5 (64.41) ✔ USTA Poll: 5 (280.00) ✔ Coaches Poll: 5 |
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Match Information
UCLA def. Georgia Tech 4-0
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Predictions
Ranks listed here are the metric’s ranking within the field of 64:
- Composite: UCLA - UCLA (89%) def. Georgia Tech (11%)
- Slam: UCLA - #4 UCLA (86%) def. #18 Georgia Tech (14%)
- TRN: UCLA - #5 UCLA (83%) def. #15 Georgia Tech (17%)
- Massey: UCLA - #4 UCLA (94%) def. #17 Georgia Tech (6%)
- Lineup: UCLA - UCLA (95%) def. Georgia Tech (5%)
- UTR: UCLA - #5 UCLA (+2.84) def. #24 Georgia Tech (-2.84)
- ITA: UCLA - #4 UCLA def. #11 Georgia Tech
- USTA Poll: UCLA - #5 UCLA def. #16 Georgia Tech
- Coaches Poll: UCLA - #5 UCLA def. #11 Georgia Tech
- Seeding: UCLA - #4 UCLA def. #13 Georgia Tech
Individual Matchups
This assumes the top players and doubles teams listed are starting.
Click on a Singles match to show individual predections for each line.
Singles:
Kenya Jones (GT) - 16-7 at #1, 16-7 in duals, 17-8 overall
Abbey Forbes (UCLA) - 17-2 at #1, 18-2 in duals, 18-2 overallPredictions
- Composite: UCLA - Forbes (79%) def. Jones (21%)
- Slam: UCLA - Forbes (78%) def. Jones (22%)
- TRN: UCLA - Forbes (75%) def. Jones (25%)
- Massey: UCLA - Forbes (81%) def. Jones (19%)
- UTR: UCLA - Forbes (81%) def. Jones (19%)
- ITA: GT - Jones (50.31) def. Forbes (46.46)
Victoria Flores (GT) - 12-4 at #2, 17-5 in duals, 18-6 overall
Jada Hart (UCLA) - 8-1 at #2, 11-2 in duals, 11-2 overallPredictions
- Composite: UCLA - Hart (69%) def. Flores (31%)
- Slam: UCLA - Hart (75%) def. Flores (25%)
- TRN: UCLA - Hart (77%) def. Flores (23%)
- Massey: UCLA - Hart (52%) def. Flores (48%)
- UTR: UCLA - Hart (72%) def. Flores (28%)
- ITA: GT - Flores (29.63) def. Hart (12.21)
Gia Cohen (GT) - 3-11 at #3, 8-14 in duals, 8-15 overall
Elysia Bolton (UCLA) - 5-2 at #3, 9-3 in duals, 9-3 overallPredictions
- Composite: UCLA - Bolton (94%) def. Cohen (6%)
- Slam: UCLA - Bolton (92%) def. Cohen (8%)
- TRN: UCLA - Bolton (95%) def. Cohen (5%)
- Massey: UCLA - Bolton (92%) def. Cohen (8%)
- UTR: UCLA - Bolton (94%) def. Cohen (6%)
- ITA: UCLA - Bolton (4.20) def. Cohen (3.38)
Ava Hrastar (GT) - 2-3 at #4, 10-9 in duals, 12-9 overall
Vivian Wolff (UCLA) - 9-4 at #4, 10-6 in duals, 10-6 overallPredictions
- Composite: UCLA - Wolff (67%) def. Hrastar (33%)
- Slam: UCLA - Wolff (68%) def. Hrastar (32%)
- TRN: UCLA - Wolff (74%) def. Hrastar (26%)
- Massey: UCLA - Wolff (62%) def. Hrastar (38%)
- UTR: UCLA - Wolff (66%) def. Hrastar (34%)
- ITA: GT - Hrastar (5.81) def. Wolff (2.06)
Carol Lee (GT) - 5-8 at #5, 12-12 in duals, 14-12 overall
Sasha Vagramov (UCLA) - 5-3 at #5, 9-5 in duals, 9-5 overallPredictions
- Composite: UCLA - Vagramov (57%) def. Lee (43%)
- Slam: UCLA - Vagramov (67%) def. Lee (33%)
- TRN: UCLA - Vagramov (79%) def. Lee (21%)
- Massey: GT - Lee (51%) def. Vagramov (49%)
- UTR: GT - Lee (66%) def. Vagramov (34%)
- ITA: GT - Lee (4.33) def. Vagramov (2.24)
Mahak Jain (GT) - 7-2 at #6, 14-7 in duals, 16-7 overall
Vanessa Ong (UCLA) - 3-1 at #6, 4-1 in duals, 4-1 overallPredictions
- Composite: UCLA - Ong (70%) def. Jain (30%)
- Slam: UCLA - Ong (63%) def. Jain (37%)
- TRN: UCLA - Ong (76%) def. Jain (24%)
- Massey: UCLA - Ong (52%) def. Jain (48%)
- UTR: UCLA - Ong (89%) def. Jain (11%)
- ITA: UCLA - Ong (1.95) def. Jain (1.89)
Doubles:
Jones/Flores (GT) - 20-3 at #1, 20-3 in duals, 22-4 overall
Forbes/Hart (UCLA) - 9-1 at #1, 9-1 in duals, 9-1 overall
Sorry, we don't have any metrics for this matchHrastar/Cohen (GT) - 5-6 at #2, 6-6 in duals, 6-6 overall
Wolff/Goulak (UCLA) - 16-2 at #2, 16-2 in duals, 16-2 overall
Sorry, we don't have any metrics for this matchLee/Dedaj (GT) - 1-8 at #3, 1-8 in duals, 1-8 overall
Bolton/Altick (UCLA) - 3-0 at #3, 3-0 in duals, 3-0 overall
Sorry, we don't have any metrics for this match
Dual Outcome Based on Individual Metrics
Based on the composite metrics for each individual match:
- UCLA should win 4 or more singles matches 81% of the time.
- Georgia Tech should win 4 or more singles matches 4% of the time.
- The winner of the doubles point should decide the match the other 15% of the time.
- If UCLA wins the doubles point, their chances of winning the dual improve to 96%.
- If Georgia Tech wins the doubles point, their chances of winning the dual improve to 19%.
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