Second Round
Saturday, May 8 at 3:00 EDT
2021 Division I Women’s Tennis Championship
Los Angeles Tennis Center
Los Angeles, California

Texas Tech vs #4 UCLA

#2 Texas Tech

  Record: 16-9
  ITA: 30 (27.98)
  Slam: 34 (87.92)
  TRN: 34 (79.75)
  Massey: 28 (7.39)
  UTR: 27 (61.44)
  Coaches Poll: 29

#1 UCLA

  Record: 21-4
✔ ITA: 4 (61.62)
✔ Slam: 4 (92.98)
✔ TRN: 7 (85.42)
✔ Massey: 4 (8.85)
✔ UTR: 5 (64.40)
✔ USTA Poll: 5 (280.00)
✔ Coaches Poll: 5


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Match Information

UCLA def. Texas Tech 4-0
Go to Live Stats

Predictions

Ranks listed here are the metric’s ranking within the field of 64:

  • Composite: UCLA - UCLA (96%) def. Texas Tech (4%)
  • Slam: UCLA - #4 UCLA (94%) def. #34 Texas Tech (6%)
  • TRN: UCLA - #7 UCLA (96%) def. #34 Texas Tech (4%)
  • Massey: UCLA - #4 UCLA (98%) def. #28 Texas Tech (2%)
  • Lineup: UCLA - UCLA (97%) def. Texas Tech (3%)
  • UTR: UCLA - #5 UCLA (+2.96) def. #27 Texas Tech (-2.96)
  • ITA: UCLA - #4 UCLA def. #30 Texas Tech
  • USTA Poll: UCLA - #5 UCLA def. Texas Tech
  • Coaches Poll: UCLA - #5 UCLA def. #29 Texas Tech
  • Seeding: UCLA - #1 UCLA def. #2 Texas 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:

  1. Lisa Mays (TTU) - 9-7 at #1, 10-7 in duals, 12-8 overall
    Abbey Forbes (UCLA) - 17-2 at #1, 18-2 in duals, 18-2 overall

    Predictions

    • Composite: UCLA - Forbes (95%) def. Mays (5%)
    • Slam: UCLA - Forbes (96%) def. Mays (4%)
    • TRN: UCLA - Forbes (98%) def. Mays (2%)
    • Massey: UCLA - Forbes (95%) def. Mays (5%)
    • UTR: UCLA - Forbes (91%) def. Mays (9%)
    • ITA: UCLA - Forbes (46.46) def. Mays (3.54)
     
  2. Margarita Skriabina (TTU) - 2-0 at #2, 16-1 in duals, 18-2 overall
    Jada Hart (UCLA) - 8-1 at #2, 11-2 in duals, 11-2 overall

    Predictions

    • Composite: UCLA - Hart (78%) def. Skriabina (22%)
    • Slam: UCLA - Hart (90%) def. Skriabina (10%)
    • TRN: UCLA - Hart (87%) def. Skriabina (13%)
    • Massey: UCLA - Hart (65%) def. Skriabina (35%)
    • UTR: UCLA - Hart (70%) def. Skriabina (30%)
    • ITA: UCLA - Hart (12.21) def. Skriabina (6.63)
     
  3. Kaitlin Staines (TTU) - 0-0 at #3, 6-9 in duals, 9-11 overall
    Elysia Bolton (UCLA) - 5-2 at #3, 9-3 in duals, 9-3 overall

    Predictions

    • Composite: UCLA - Bolton (90%) def. Staines (10%)
    • Slam: UCLA - Bolton (86%) def. Staines (14%)
    • TRN: UCLA - Bolton (90%) def. Staines (10%)
    • Massey: UCLA - Bolton (92%) def. Staines (8%)
    • UTR: UCLA - Bolton (91%) def. Staines (9%)
    • ITA: TTU - Staines (4.66) def. Bolton (4.20)
     
  4. Nell Miller (TTU) - 11-4 at #4, 14-6 in duals, 16-10 overall
    Vivian Wolff (UCLA) - 9-4 at #4, 10-6 in duals, 10-6 overall

    Predictions

    • Composite: UCLA - Wolff (75%) def. Miller (25%)
    • Slam: UCLA - Wolff (71%) def. Miller (29%)
    • TRN: UCLA - Wolff (78%) def. Miller (22%)
    • Massey: UCLA - Wolff (78%) def. Miller (22%)
    • UTR: UCLA - Wolff (72%) def. Miller (28%)
    • ITA: TTU - Miller (2.66) def. Wolff (2.06)
     
  5. Olivia Peet (TTU) - 9-6 at #5, 10-6 in duals, 12-6 overall
    Sasha Vagramov (UCLA) - 5-3 at #5, 9-5 in duals, 9-5 overall

    Predictions

    • Composite: UCLA - Vagramov (59%) def. Peet (41%)
    • Slam: UCLA - Vagramov (65%) def. Peet (35%)
    • TRN: UCLA - Vagramov (76%) def. Peet (24%)
    • Massey: UCLA - Vagramov (59%) def. Peet (41%)
    • UTR: TTU - Peet (62%) def. Vagramov (38%)
    • ITA: UCLA - Vagramov (2.24) def. Peet (2.03)
     
  6. Metka Komac (TTU) - 9-4 at #6, 10-5 in duals, 12-6 overall
    Vanessa Ong (UCLA) - 3-1 at #6, 4-1 in duals, 4-1 overall

    Predictions

    • Composite: UCLA - Ong (77%) def. Komac (23%)
    • Slam: UCLA - Ong (69%) def. Komac (31%)
    • TRN: UCLA - Ong (82%) def. Komac (18%)
    • Massey: UCLA - Ong (65%) def. Komac (35%)
    • UTR: UCLA - Ong (93%) def. Komac (7%)
    • ITA: TTU - Komac (1.98) def. Ong (1.95)
     

Doubles:

  1. Staines/Mays (TTU) - 9-7 at #1, 9-7 in duals, 9-7 overall
    Forbes/Hart (UCLA) - 9-1 at #1, 9-1 in duals, 9-1 overall
    Sorry, we don't have any metrics for this match
     
  2. Peet/Skriabina (TTU) - 4-2 at #2, 4-2 in duals, 4-2 overall
    Wolff/Goulak (UCLA) - 16-2 at #2, 16-2 in duals, 16-2 overall
    Sorry, we don't have any metrics for this match
     
  3. Miller/Komac (TTU) - 2-1 at #3, 2-1 in duals, 2-1 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 90% of the time.
  • Texas Tech should win 4 or more singles matches 2% of the time.
  • The winner of the doubles point should decide the match the other 8% of the time.
  • If UCLA wins the doubles point, their chances of winning the dual improve to 98%.
  • If Texas Tech wins the doubles point, their chances of winning the dual improve to 10%.

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