TAPPA STATS
Retrieving analytics...
| Tournament | GP | W-L | Win% | PPG | RPG | APG | FG% | 3P% | FT% | Net Rtg |
|---|---|---|---|---|---|---|---|---|---|---|
| FIBA Women's Asia Cup Division B 2025 | 5 | 3–2 | 60% | 76.2 | 36.6 | 21.2 | 42.1% | 23.3% | 72.5% | -0.9 |
| FIBA U18 Women’s Asia Cup 2026 Division B | 5 | 3–2 | 60% | 74 | 40.8 | 21.8 | 41.3% | 22% | 70.4% | +27.8 |
| FIBA Women's Asia Cup Division A 2019 | 4 | 0–4 | 0% | 56.3 | 31.5 | 13.8 | 34.4% | 26.6% | 53.3% | -46.7 |
| FIBA Women's Asia Cup Division A 2021 | 4 | 0–4 | 0% | 58.5 | 34.8 | 16.3 | 34.4% | 25% | 75% | -55.7 |
| FIBA Asia Women's Championship 2015 | 6 | 0–6 | 0% | 52.3 | 32.2 | 7 | 33.8% | 25.7% | 65.3% | -51.8 |
| FIBA Asia Championship for Women 2013 | 1 | 1–0 | 100% | 65 | 22 | 12 | 30.6% | 20% | 69.2% | +3.4 |
| FIBA Women’s Olympic Pre-Qualifying Asian Tournament 2019 | 3 | 0–3 | 0% | 38 | 30 | 9 | 25% | 16.1% | 50% | -87.9 |
| FIBA Women's Asia Cup Division B 2017 | 5 | 5–0 | 100% | 85.4 | 47 | 23.4 | 43.5% | 39.6% | 64.9% | +28.3 |
| Tournament / Category | GP | PTS | FGM | FGA | FG% | 3PM | 3PA | 3P% | FTM | FTA | FT% | REB | OREB | DREB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Senior International Tournaments | |||||||||||||||||||
| FIBA Women's Asia Cup Division B 2025 | 5 | 381 | 144 | 342 | 42.1% | 27 | 116 | 23.3% | 66 | 91 | 72.5% | 183 | 57 | 126 | 106 | 59 | 4 | 91 | 101 |
| FIBA U18 Women’s Asia Cup 2026 Division B | 5 | 370 | 149 | 361 | 41.3% | 22 | 100 | 22.0% | 50 | 71 | 70.4% | 204 | 67 | 137 | 109 | 84 | 30 | 84 | 86 |
| FIBA Women's Asia Cup Division A 2019 | 4 | 225 | 86 | 250 | 34.4% | 21 | 79 | 26.6% | 32 | 60 | 53.3% | 126 | 41 | 85 | 55 | 29 | 13 | 81 | 62 |
| FIBA Women's Asia Cup Division A 2021 | 4 | 234 | 86 | 250 | 34.4% | 17 | 68 | 25.0% | 45 | 60 | 75.0% | 139 | 40 | 99 | 65 | 20 | 8 | 85 | 61 |
| FIBA Asia Women's Championship 2015 | 6 | 314 | 113 | 334 | 33.8% | 26 | 101 | 25.7% | 62 | 95 | 65.3% | 193 | 55 | 138 | 42 | 36 | 14 | 152 | 101 |
| FIBA Asia Championship for Women 2013 | 1 | 65 | 22 | 72 | 30.6% | 3 | 15 | 20.0% | 18 | 26 | 69.2% | 22 | 6 | 16 | 12 | 10 | 3 | 10 | 24 |
| FIBA Women’s Olympic Pre-Qualifying Asian Tournament 2019 | 3 | 114 | 47 | 188 | 25.0% | 10 | 62 | 16.1% | 10 | 20 | 50.0% | 90 | 27 | 63 | 27 | 9 | 5 | 54 | 48 |
| FIBA Women's Asia Cup Division B 2017 | 5 | 427 | 162 | 372 | 43.5% | 42 | 106 | 39.6% | 61 | 94 | 64.9% | 235 | 93 | 142 | 117 | 49 | 27 | 79 | 108 |
| Senior International Total | 33 | 2130 | 809 | 2169 | 37.3% | 168 | 647 | 26.0% | 344 | 517 | 66.5% | 1192 | 386 | 806 | 533 | 296 | 104 | 636 | 591 |
| Tournament / Category | GP | PPG | FGPG | FGAPG | FG% | 3PMPG | 3PAPG | 3P% | FTMPG | FTAPG | FT% | RPG | ORPG | DRPG | APG | SPG | BPG | TOPG | PFPG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Senior International Tournaments | |||||||||||||||||||
| FIBA Women's Asia Cup Division B 2025 | 5 | 76.2 | 28.8 | 68.4 | 42.1% | 5.4 | 23.2 | 23.3% | 13.2 | 18.2 | 72.5% | 36.6 | 11.4 | 25.2 | 21.2 | 11.8 | 0.8 | 18.2 | 20.2 |
| FIBA U18 Women’s Asia Cup 2026 Division B | 5 | 74.0 | 29.8 | 72.2 | 41.3% | 4.4 | 20.0 | 22.0% | 10.0 | 14.2 | 70.4% | 40.8 | 13.4 | 27.4 | 21.8 | 16.8 | 6.0 | 16.8 | 17.2 |
| FIBA Women's Asia Cup Division A 2019 | 4 | 56.3 | 21.5 | 62.5 | 34.4% | 5.3 | 19.8 | 26.6% | 8.0 | 15.0 | 53.3% | 31.5 | 10.3 | 21.3 | 13.8 | 7.3 | 3.3 | 20.3 | 15.5 |
| FIBA Women's Asia Cup Division A 2021 | 4 | 58.5 | 21.5 | 62.5 | 34.4% | 4.3 | 17.0 | 25.0% | 11.3 | 15.0 | 75.0% | 34.8 | 10.0 | 24.8 | 16.3 | 5.0 | 2.0 | 21.3 | 15.3 |
| FIBA Asia Women's Championship 2015 | 6 | 52.3 | 18.8 | ||||||||||||||||
| Tournament / Category | GP | OffRtg | DefRtg | NetRtg | AST% | OREB% | DREB% | REB% | eFG% | TS% | PIE | FIC |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Senior International Tournaments | ||||||||||||
| FIBA Women's Asia Cup Division B 2025 | 5 | 91.4 | 92.3 | -0.9 | 72.6% | 32.8% | 70.4% | 51.8% | 46.1% | 49.9% | 38.1% | 30.5 |
| FIBA U18 Women’s Asia Cup 2026 Division B | 5 | 89.4 | 61.6 | +27.8 | 72.0% | 34.2% | 70.2% | 53.2% | 44.3% | 47.2% | 37.0% | 29.6 |
| FIBA Women's Asia Cup Division A 2019 | 4 | 70.3 | 117.1 | -46.7 | 65.7% | 26.8% | 59.1% | 42.3% | 38.6% | 40.7% | 28.1% | 22.5 |
| FIBA Women's Asia Cup Division A 2021 | 4 | 72.3 | 128.0 | -55.7 | 74.0% | 28.4% | 61.6% | 46.0% | 37.8% | 42.3% | 29.3% | 23.4 |
| FIBA Asia Women's Championship 2015 | 6 | 65.9 | 117.7 | -51.8 | 38.6% | 28.6% | 59.5% | 45.1% | 37.7% | 41.8% | 26.2% | 20.9 |
| FIBA Asia Championship for Women 2013 | 1 | 74.3 | 70.9 | +3.4 | 54.5% | 21.4% | 57.1% | 39.3% | 32.6% | 39.0% | 32.5% | 26.0 |
| FIBA Women’s Olympic Pre-Qualifying Asian Tournament 2019 | 3 | 51.8 | ||||||||||
| Rank | Player | GP | PPG | RPG | APG | GmScr | DHAKAD |
|---|---|---|---|---|---|---|---|
| 1 | Sahana Shivamogga Mohan | 4 | 0.0 | 0.0 | 0.3 | 0.2 | 37.3 |
| 2 | Poonam Chaturvedi | 4 | 6.0 | 1.3 | 0.0 | 4.8 | 33.8 |
| 3 | Viha Reddy Jonnalagadda | 5 | 7.8 | 2.6 | 1.6 | 8.8 | 29.4 |
| 4 | Grima Merlin Varghese - | 5 | 13.8 | 4.2 | 1.4 | 9.7 | 24.4 |
| 5 | SADHANA - | 5 | 3.6 | 3.4 | 0.4 | 5.6 | 24.2 |
| 6 | Mahek Sharma | 5 | 11.0 | 7.8 | 1.0 | 11.2 | 22.9 |
| 7 | Tarannum Begum | 5 | 3.6 | 2.8 | 0.0 | 3.2 | 20.1 |
| 8 | Gagandeep Kaur - | 5 | 2.6 | 1.2 | 2.8 | 2.6 | 19.2 |
| 9 | Taarushee Tarun | 5 | 12.0 | 6.6 | 0.6 | 8.1 | 19.1 |
| 10 | Angelina Arun George | 5 | 5.8 | 3.4 | 0.6 | 6.5 | 18.0 |
Players with the greatest positive impact on team Net Rating when they are on the court versus off (minimum 3 games played).
| Rank | Player | GP | On Mins | On NetRtg | Off Mins | Off NetRtg | Net Impact |
|---|---|---|---|---|---|---|---|
| 1 | Anitha Paul Durai | 11 | 288.2 | 0 | 114.2 | 0 | 0 |
| 2 | Smruthi Radhakrishnan | 7 | 116.5 | 0 | 165.5 | 0 | 0 |
| 3 | Stephy Nixon | 18 | 264.3 | 0 | 457.7 | 0 | 0 |
| 4 | Grima Merlin Varghese | 5 | 72.7 | 0 | 86.8 | 0 | 0 |
| 5 | Sruthy R. | 5 | 57.2 | 0 | 142.8 | 0 | 0 |
| 6 | Shireen Vijay Limaye | 22 | 523.3 | 0 | 318.7 | 0 | 0 |
| 7 | Raspreet Sidhu | 6 | 159.2 | 0 | 45.1 | 0 | 0 |
| 8 | Sathya K. | 5 | 88.3 | 0 | 111.8 | 0 | 0 |
| 9 | Jeena Palanilkumkalayil Skaria | 19 | 455.9 | 0 | 265.7 | 0 | 0 |
| 10 | Rajapriyadharshini Rajaganapathi | 16 | 225.7 | 0 | 375.9 | 0 | 0 |
| # | Player i | GP i | PPG▼ i | RPG i | APG i | SPG i | BPG i | TOV i | FGM i | FGA | FG% i | 3PM i | 3PA | 3P% i | GmScr i | DHAKAD i |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 5 | 13.8 | 4.2 | 1.4 | 1.8 | 0.0 | 2.8 | 3.8 | 8.6 | 44.2% | 1.8 | 3.2 | 56.3% | 9.7 | 24.4 | |
| 2 | 11 | 13.5 | 4.0 | 2.5 | 1.7 | 0.1 | 2.6 | 4.6 | 11.7 | 39.5% | 1.9 | 5.8 | 32.8% | 8.8 | 13.1 | |
| 3 | 9 | 12.6 | 7.0 | 1.8 | 1.0 | 0.3 | 3.0 | 4.8 | 9.2 | 51.8% | 0.4 | 1.2 | 36.4% | 9.9 | 12.0 | |
| 4 | 5 | 12.0 | 6.6 | 0.6 | 1.0 | 1.0 | 1.0 | 5.2 | 13.8 | 37.7% | 0.8 | 3.8 | 21.1% | 8.1 | 19.1 | |
| 5 | 19 | 11.7 | 5.2 | 1.4 | 0.6 | 1.0 | 1.5 | 5.0 | 9.9 | 50.5% | 0.0 | 0.2 | 0.0% | 8.7 | 14.4 | |
| 6 | 5 | 11.0 | 7.8 | 1.0 | 1.2 | 0.6 | 0.6 | 4.4 | 7.8 | 56.4% | 0.4 | 0.8 | 50.0% | 11.2 | 22.9 | |
| 7 | 9 | 9.8 | 3.7 | 3.2 | 2.0 | 0.0 | 2.4 | 3.4 | 10.0 | 34.4% | 1.0 | 4.6 | 22.0% | 6.3 | 12.2 | |
| 8 | 5 | 9.6 | 4.8 | 2.8 | 1.6 | 0.2 | 2.4 | 3.8 | 8.0 | 47.5% | 0.6 | 2.4 | 25.0% | 8.6 | 14.4 | |
| 9 | 1 | 9.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 8.0 | 37.5% | 2.0 | 5.0 | 40.0% | 5.1 | 10.1 | |
| 10 | 5 | 8.2 | 3.8 | 4.4 | 2.4 | 0.0 | 3.6 | 3.6 | 6.6 | 54.5% | 0.8 | 2.2 | 36.4% | 6.7 | 11.3 | |
| 11 | 6 | 8.2 | 3.2 | 1.5 | 2.2 | 0.0 | 1.5 | 2.8 | 9.5 | 29.8% | 1.2 | 3.5 | 33.3% | 4.3 | 6.8 | |
| 12 | 22 | 8.1 | 5.6 | 2.5 | 0.9 | 0.4 | 2.5 | 3.0 | 9.5 | 31.9% | 1.1 | 4.4 | 24.7% | 4.1 | 6.2 | |
| 13 | 5 | 7.8 | 2.6 | 5.4 | 3.2 | 0.2 | 3.4 | 3.2 | 8.0 | 40.0% | 0.8 | 3.2 | 25.0% | 7.3 | 14.2 | |
| 14 | 5 | 7.8 | 2.6 | 1.6 | 2.8 | 0.8 | 0.8 | 2.6 | 5.0 | 52.0% | 0.2 | 1.0 | 20.0% | 8.8 | 29.4 | |
| 15 | 6 | 7.5 | 1.5 | 0.7 | 0.8 | 0.2 | 3.3 | 2.3 | 9.0 | 25.9% | 1.5 | 5.5 | 27.3% | -0.1 | -5.6 | |
| 16 | 5 | 7.2 | 4.2 | 1.4 | 1.2 | 0.0 | 1.0 | 2.8 | 10.2 | 27.5% | 0.6 | 3.6 | 16.7% | 3.4 | 8.2 | |
| 17 | 5 | 6.8 | 3.4 | 3.2 | 1.6 | 0.0 | 2.4 | 2.0 | 6.4 | 31.3% | 1.2 | 4.2 | 28.6% | 4.6 | 11.6 | |
| 18 | 5 | 6.6 | 2.2 | 4.0 | 1.2 | 0.4 | 4.2 | 2.6 | 4.8 | 54.2% | 0.8 | 1.8 | 44.4% | 4.1 | 15.1 | |
| 19 | 1 | 6.0 | 5.0 | 2.0 | 0.0 | 1.0 | 1.0 | 1.0 | 14.0 | 7.1% | 0.0 | 0.0 | 0.0% | -2.8 | -9.4 | |
| 20 | 10 | 6.0 | 3.2 | 1.3 | 0.8 | 0.1 | 3.6 | 2.2 | 7.8 | 28.2% | 1.4 | 5.4 | 25.9% | 0.1 | -3.6 | |
| 21 | 4 | 6.0 | 1.3 | 0.0 | 0.0 | 0.8 | 0.5 | 3.0 | 4.0 | 75.0% | 0.0 | 0.0 | 0.0% | 4.8 | 33.8 | |
| 22 | 5 | 5.8 | 3.4 | 0.6 | 3.2 | 0.4 | 1.4 | 2.4 | 5.0 | 48.0% | 0.2 | 0.6 | 33.3% | 6.5 | 18.0 | |
| 23 | 4 | 5.8 | 0.8 | 4.8 | 0.3 | 0.0 | 4.8 | 1.8 | 4.8 | 36.8% | 0.3 | 1.5 | 16.7% | 1.2 | -1.3 | |
| 24 | 7 | 5.6 | 3.3 | 0.4 | 0.7 | 0.3 | 1.6 | 2.4 | 5.4 | 44.7% | 0.0 | 0.1 | 0.0% | 3.1 | 2.8 | |
| 25 | 8 | 5.0 | 3.6 | 0.9 | 0.5 | 0.3 | 0.9 | 2.0 | 5.9 | 34.0% | 0.3 | 2.4 | 10.5% | 2.7 | 4.2 | |
| 26 | 11 | 4.8 | 2.1 | 1.4 | 0.9 | 0.0 | 1.6 | 1.6 | 6.1 | 26.9% | 1.2 | 4.7 | 25.0% | 1.2 | -1.9 | |
| 27 | 11 | 4.5 | 1.4 | 0.5 | 0.3 | 0.1 | 1.4 | 2.1 | 5.8 | 35.9% | 0.2 | 0.5 | 33.3% | 0.7 | -3.3 | |
| 28 | 7 | 4.3 | 4.9 | 1.0 | 0.9 | 0.1 | 1.7 | 1.7 | 4.3 | 40.0% | 0.0 | 0.1 | 0.0% | 3.0 | 5.5 | |
| 29 | 5 | 4.2 | 2.4 | 3.6 | 0.8 | 0.0 | 2.4 | 1.2 | 4.4 | 27.3% | 0.2 | 1.8 | 11.1% | 2.0 | 6.2 | |
| 30 | 5 | 4.2 | 2.8 | 0.2 | 0.2 | 0.0 | 1.0 | 1.4 | 2.8 | 50.0% | 0.0 | 0.0 | 0.0% | 2.1 | 8.1 | |
| 31 | 5 | 4.0 | 4.2 | 3.6 | 1.4 | 0.2 | 1.2 | 1.4 | 4.8 | 29.2% | 1.2 | 3.8 | 31.6% | 4.7 | 11.1 | |
| 32 | 18 | 3.9 | 2.7 | 0.5 | 0.3 | 0.3 | 1.6 | 1.3 | 4.4 | 30.0% | 0.1 | 0.1 | 50.0% | 1.1 | -2.1 | |
| 33 | 16 | 3.9 | 5.2 | 1.1 | 0.5 | 0.3 | 1.4 | 1.5 | 5.5 | 27.3% | 0.0 | 0.4 | 0.0% | 2.3 | 2.4 | |
| 34 | 5 | 3.6 | 2.8 | 0.0 | 0.4 | 0.4 | 0.2 | 1.6 | 4.0 | 40.0% | 0.0 | 0.8 | 0.0% | 3.2 | 20.1 | |
| 35 | 5 | 3.6 | 3.4 | 0.4 | 1.0 | 1.8 | 0.4 | 1.8 | 3.0 | 60.0% | 0.0 | 0.0 | 0.0% | 5.6 | 24.2 | |
| 36 | 16 | 3.5 | 2.6 | 1.3 | 0.4 | 0.3 | 2.2 | 1.3 | 4.6 | 28.4% | 0.1 | 0.3 | 20.0% | 0.3 | -3.5 | |
| 37 | 16 | 3.1 | 3.9 | 0.6 | 0.4 | 0.6 | 1.8 | 1.4 | 4.1 | 33.8% | 0.0 | 0.1 | 0.0% | 1.4 | 4.1 | |
| 38 | 13 | 2.8 | 2.4 | 0.5 | 0.3 | 0.2 | 1.1 | 1.0 | 1.9 | 52.0% | 0.0 | 0.0 | 0.0% | 1.5 | 9.2 | |
| 39 | 5 | 2.6 | 1.2 | 2.8 | 0.6 | 0.2 | 1.0 | 1.2 | 3.4 | 35.3% | 0.2 | 1.2 | 16.7% | 2.6 | 19.2 | |
| 40 | 4 | 2.3 | 1.3 | 0.8 | 0.0 | 0.0 | 0.5 | 1.0 | 3.3 | 30.8% | 0.3 | 1.0 | 25.0% | 0.7 | -0.3 | |
| 41 | 5 | 2.2 | 1.2 | 0.4 | 0.2 | 0.2 | 0.2 | 1.0 | 2.2 | 45.5% | 0.0 | 0.0 | 0.0% | 1.6 | 14.8 | |
| 42 | 11 | 1.8 | 1.6 | 2.5 | 0.2 | 0.0 | 2.2 | 0.6 | 2.7 | 23.3% | 0.5 | 2.0 | 22.7% | 0.1 | -0.6 | |
| 43 | 5 | 1.8 | 1.6 | 0.4 | 0.2 | 0.2 | 0.4 | 0.8 | 2.8 | 28.6% | 0.2 | 1.4 | 14.3% | 1.1 | 10.4 | |
| 44 | 5 | 1.8 | 0.8 | 0.6 | 0.2 | 0.0 | 0.4 | 0.6 | 2.4 | 25.0% | 0.2 | 1.4 | 14.3% | 0.4 | 2.5 | |
| 45 | 5 | 1.6 | 0.8 | 0.0 | 0.0 | 0.0 | 0.4 | 0.6 | 1.8 | 33.3% | 0.0 | 0.6 | 0.0% | 0.0 | -1.2 | |
| 46 | 5 | 1.4 | 0.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.4 | 1.0 | 40.0% | 0.2 | 0.6 | 33.3% | 1.3 | 13.5 | |
| 47 | 3 | 1.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.7 | 1.7 | 40.0% | 0.0 | 0.0 | 0.0% | -0.3 | -10.2 | |
| 48 | 5 | 1.2 | 0.8 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | 0.8 | 25.0% | 0.0 | 0.0 | 0.0% | 0.4 | -8.6 | |
| 49 | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0% | 0.0 | 0.0 | 0.0% | -2.4 | -42.8 | |
| 50 | 4 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.8 | 0.0 | 1.5 | 0.0% | 0.0 | 0.3 | 0.0% | -1.4 | -21.4 | |
| 51 | 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0% | 0.0 | 0.0 | 0.0% | -0.3 | -19.5 | |
| 52 | 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.7 | 0.0% | 0.0 | 0.0 | 0.0% | -1.5 | -38.8 | |
| 53 | 4 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0% | 0.0 | 0.0 | 0.0% | -0.1 | -9.3 | |
| 54 | 4 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0% | 0.0 | 0.0 | 0.0% | 0.2 | 37.3 |
| Lineup Combination | GP | MIN | ORTG | DEFRTG | NETRTG | +/- |
|---|---|---|---|---|---|---|
| 5 | 49.8 | 97.7 | 86.8 | +10.8 | +15 | |
| 3 | 29.6 | 29.9 | 121.9 | -91.9 | -53 | |
| 4 | 22.2 | 55.1 | 98.3 | -43.2 | -27 | |
| 4 | 19.2 | 91.9 | 63.4 | +28.5 | +8 | |
| 5 | 18.4 | 69.8 | 80.8 | -11 | -4 | |
| 3 | 18.2 | 56.1 | 98.4 | -42.3 | -18 | |
| 3 | 18 | 89.6 | 64.6 | +25 | +6 | |
| 3 | 17 | 60.6 | 81.5 | -20.9 | -12 | |
| 3 | 15.8 | 67.3 | 110.5 | -43.2 | -18 | |
| 2 | 14.1 | 90.9 | 50.6 | +40.3 | +10 | |
| 2 | 13.2 | 107.4 | 62.9 | +44.5 | +13 | |
| 3 | 12.9 | 126.4 | 87.6 | +38.8 | +10 | |
| 3 | 12.6 | 48 | 92.9 | -44.9 | -13 | |
| 1 | 12.3 | 34.5 | 200 | -165.5 | -3 | |
| 1 | 12.1 | 98.4 | 103.6 | -5.2 | -2 |
| Opponent | GP | W | L | Win% | PPG | RPG | APG | SPG | BPG | TOPG | OffRtg | DefRtg | NetRtg |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K Kazakhstan | 6 | 4 | 2 | 67% | 60.7 | 28.5 | 15.0 | 10.2 | 2.5 | 15.7 | 86.7 | 80.3 | +6.4 |
C Chinese Taipei | 6 | 0 | 6 | 0% | 35.7 | 25.7 | 8.3 | 2.3 | 1.8 | 13.2 | 68.2 | 108.8 | -40.6 |
J Japan | 6 | 0 | 6 | 0% | 22.2 | 16.0 | 5.7 | 2.7 | 1.0 | 15.7 | 44.6 | 154.1 | -109.6 |
P Philippines | 5 | 0 | 5 | 0% | 44.8 | 22.2 | 10.2 | 6.4 | 2.4 | 12.8 | 89.4 | 99.6 | -10.2 |
T Thailand | 4 | 1 | 3 | 25% | 61.3 | 25.0 | 12.5 | 10.0 | 2.0 | 13.0 | 99.5 | 91.0 | +8.6 |
K Korea | 4 | 0 | 4 | 0% | 26.5 | 13.5 | 6.3 | 2.5 | 0.5 | 13.5 | 69.2 | 135.9 | -66.7 |
S Sri Lanka | 3 | 1 | 2 | 33% | 29.3 | 25.0 | 7.3 | 6.0 | 2.3 | 8.3 | 99.6 | 48.5 | +51.1 |
M Malaysia | 3 | 0 | 3 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | — |
P People's Republic of China | 3 | 0 | 3 | 0% | 13.0 | 9.3 | 1.0 | 2.0 | 0.0 | 5.7 | 51.6 | 116.9 | -65.4 |
U Uzbekistan | 2 | 1 | 1 | 50% | 46.0 | 21.5 | 13.5 | 3.0 | 2.5 | 9.0 | 111.0 | 87.7 | +23.2 |
I Indonesia | 2 | 1 | 1 | 50% | 64.5 | 40.0 | 20.5 | 7.5 | 4.0 | 14.0 | 85.1 | 75.0 | +10.1 |
F Fiji | 1 | 1 | 0 | 100% | 93.0 | 52.0 | 27.0 | 13.0 | 2.0 | 14.0 | 114.9 | 65.9 | +49.1 |
T Tahiti | 1 | 1 | 0 | 100% | 78.0 | 39.0 | 25.0 | 18.0 | 2.0 | 19.0 | 92.6 | 63.8 | +28.8 |
L Lebanon | 1 | 1 | 0 | 100% | 79.0 | 31.0 | 25.0 | 8.0 | 8.0 | 11.0 | 106.2 | 91.3 | +14.9 |
O Oman | 1 | 1 | 0 | 100% | 99.0 | 61.0 | 31.0 | 30.0 | 10.0 | 8.0 | 117.0 | 20.1 | +97.0 |
V Vietnam | 1 | 0 | 1 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | — |
A Australia | 1 | 0 | 1 | 0% | 29.0 | 27.0 | 4.0 | 2.0 | 4.0 | 22.0 | 35.6 | 140.1 | -104.5 |
S Singapore | 1 | 0 | 1 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | — |
N New Zealand | 1 | 0 | 1 | 0% | 49.0 | 26.0 | 10.0 | 2.0 | 2.0 | 13.0 | 66.6 | 137.3 | -70.8 |
R Republic of Korea | 1 | 0 | 1 | 0% | 69.0 | 44.0 | 18.0 | 5.0 | 2.0 | 24.0 | 79.4 | 120.4 | -41.1 |
H Hong Kong | 1 | 0 | 1 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | — |
D D.P.R.of Korea | 1 | 0 | 1 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | — | — | — |
| 55.7 |
| 33.8% |
| 4.3 |
| 16.8 |
| 25.7% |
| 10.3 |
| 15.8 |
| 65.3% |
| 32.2 |
| 9.2 |
| 23.0 |
| 7.0 |
| 6.0 |
| 2.3 |
| 25.3 |
| 16.8 |
| FIBA Asia Championship for Women 2013 | 1 | 65.0 | 22.0 | 72.0 | 30.6% | 3.0 | 15.0 | 20.0% | 18.0 | 26.0 | 69.2% | 22.0 | 6.0 | 16.0 | 12.0 | 10.0 | 3.0 | 10.0 | 24.0 |
| FIBA Women’s Olympic Pre-Qualifying Asian Tournament 2019 | 3 | 38.0 | 15.7 | 62.7 | 25.0% | 3.3 | 20.7 | 16.1% | 3.3 | 6.7 | 50.0% | 30.0 | 9.0 | 21.0 | 9.0 | 3.0 | 1.7 | 18.0 | 16.0 |
| FIBA Women's Asia Cup Division B 2017 | 5 | 85.4 | 32.4 | 74.4 | 43.5% | 8.4 | 21.2 | 39.6% | 12.2 | 18.8 | 64.9% | 47.0 | 18.6 | 28.4 | 23.4 | 9.8 | 5.4 | 15.8 | 21.6 |
| Senior International Average | 33 | 64.5 | 24.5 | 65.7 | 37.3% | 5.1 | 19.6 | 26.0% | 10.4 | 15.7 | 66.5% | 36.1 | 11.7 | 24.4 | 16.2 | 9.0 | 3.2 | 19.3 | 17.9 |
| 139.6 |
| -87.9 |
| 55.2% |
| 22.8% |
| 58.1% |
| 39.1% |
| 27.7% |
| 29.0% |
| 19.0% |
| 15.2 |
| FIBA Women's Asia Cup Division B 2017 | 5 | 106.9 | 78.6 | +28.3 | 72.3% | 43.7% | 67.3% | 55.4% | 49.2% | 51.6% | 42.7% | 34.2 |
| Senior International Avg | 33 | 79.8 | 101.2 | -21.4 | 63.5% | 31.4% | 64.0% | 48.0% | 41.2% | 44.4% | 32.3% | 25.8 |