F
·
Hard
·
28 Mar 2026
·
WTA 1000
Prediction Breakdown
| Feature |
Sabalenka |
Gauff |
| Level G |
0 |
| Level M |
1 |
| Level C |
0 |
| Level F |
0 |
| Round Q1 |
0 |
| Tour Wta |
1 |
| Feature |
Sabalenka |
Gauff |
| ELO |
4397.5 |
3631.3 |
| Surface ELO |
3864.6 |
3107.8 |
| Surface Gap |
-532.9 |
-523.5 |
| ELO Diff |
766.2 |
| Surface ELO Diff |
756.8 |
| Feature |
Sabalenka |
Gauff |
| Match Count 4w |
9 |
7 |
| Win Rate 8w |
83% |
69% |
| Match Count 8w |
12 |
13 |
| Match Count 16w |
21 |
17 |
| Match Count 32w |
34 |
32 |
| Win Rate 64w |
85% |
73% |
| Match Count 64w |
88 |
70 |
| Match Count 128w |
161 |
141 |
| Match Count 512w |
461 |
292 |
| Feature |
Sabalenka |
Gauff |
| H2H Wins |
5 |
5 |
| H2H Dominance |
0.5 |
| Feature |
Sabalenka |
Gauff |
| Days Since Last |
1 |
0 |
| Days Since Debut |
4304 |
2862 |
| Feature |
Sabalenka |
Gauff |
| Opponent ELO Avg 8 |
2935.1 |
2899.7 |
| Wins Vs Higher ELO 8 |
0 |
0 |
| Feature |
Sabalenka |
Gauff |
| Set Diff Avg 8 |
1.8 |
0.6 |
| Straight Sets Rate 8 |
88% |
25% |
| Tiebreak Rate 8 |
12% |
25% |
| Tiebreaks Played 8 |
1 |
2 |
| Game Diff Avg 64 |
4.1 |
3.0 |
| Set Diff Avg 64 |
1.4 |
0.8 |
| Straight Sets Rate 64 |
70% |
48% |
| Tiebreak Rate 64 |
27% |
22% |
| Tiebreaks Played 64 |
20 |
15 |
| Deciding Sets Played 64 |
10 |
19 |
| First Sets Lost 64 |
10 |
23 |
| Vs Normal Clutch Matches |
76 |
73 |
| Feature |
Sabalenka |
Gauff |
| Matches 7d Diff Ab |
-1 |
| Matches This Tournament Diff Ab |
-2 |
| Feature |
Sabalenka |
Gauff |
| Surface ELO Match Count |
402 |
211 |
| Opponent Quality Sample Count 8 |
8 |
8 |
| Match Date Estimated Flag |
1 |
| Feature |
Sabalenka |
Gauff |
| Country Win Rate |
74% |
67% |