92.00
W
W
China
Tuesday Oct 03, 2023 - 00:00 (America/New_York)
China vs South Korea
Stats, H2H, Live Scores & xG
76.50
L
W
South Korea
Note: The current season has recently started, and one or both teams have played fewer than 5 matches.
Scoring Intelligence Panel
China vs South Korea
N/A
Possessions / Game
League Average: N/A
150
Points / Match
League Average: 147
8.2
( Medium )
Volatility
League Average: N/A
🟢 Green = favorable situation (high pace, strong over trend, or very stable totals) ✅ ·
⚪ Gray = neutral, close to league average 👌 ·
🟡 Yellow / 🟠 Orange = warning, results can swing more than usual ⚠️ ·
🔴 Red = unfavorable / high risk (low pace for overs, strong under lean, or very volatile games) ❌
Scoring Momentum (Recent Form)
| Metric | China | South Korea |
|---|---|---|
| Average Total Points (Last 5 Games) | 147.33 | 152.75 |
| Previous 5 Avg | 0 | 0 |
| Trend Line (Last 5 Games) | 145, 158, 139 | 161, 160, 140, 150 |
🟢 Green = value ✅ ·
🟡 Yellow = risky ⚠️ ·
🔴 Red = skip ❌
Team performance vs top opponents
scoring, conceding, and net rating.
| Metric | China | South Korea |
|---|---|---|
| Avg Pts vs Top 5 Def | 0.0 | 0.0 |
| Avg Pts Conceded vs Top 5 Off | 0.0 | 0.0 |
| Net Rating vs Top 5 Opps | 0.0 | 0.0 |
🟢 Green = value ✅ ·
🟡 Yellow = risky ⚠️ ·
🔴 Red = skip ❌ —
Values are compared to the team's own season average.
These indicators reflect performance against top opponents (TOP 5 offenses and defenses) and help assess true team strength.
Recent momentum
last 5 vs previous 5 games.
China
South Korea
| Period | Avg Points Scored | Avg Points Conceded | Net Change |
|---|---|---|---|
| Last 5 | 89.0 | 67.8 | +21.2 |
| Period | Avg Points Scored | Avg Points Conceded | Net Change |
|---|---|---|---|
| Last 5 | 78.2 | 76.8 | +1.4 |
🟢 Green = improving form 📈 ·
🟡 Yellow = neutral ➖ ·
🔴 Red = declining form 📉 —
Momentum analysis shows whether the team has recently been improving in offense and defense, or on the contrary – losing stability.
China
Asian Games – Men’s Basketball
League Pos.
0 / 17
| Form | Results | PPG |
|---|---|---|
| Overall |
W
W
W
|
91.00 |
| Home |
W
W
|
92.00 |
| Away |
W
|
89.00 |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Win % | 100.0% | 100.0% | 100.0% |
| Total Points Avg | 147.33 | 142 | 158 |
| Scored | 91.00 | 92.00 | 89.00 |
| Conceded | 56.33 | 50.00 | 69.00 |
| Pace Avg | 0 | 0 | 0 |
| Off. Rating | 0 | 0 | 0 |
| Def. Rating | 0 | 0 | 0 |
| ATS Cover % | 0% | 0% | 0% |
* Pace is not a value indicator but shows game tempo — higher numbers mean faster play and more possessions.
South Korea
Asian Games – Men’s Basketball
League Pos.
0 / 17
| Form | Results | PPG |
|---|---|---|
| Overall |
W
L
W
W
|
84.00 |
| Home |
W
W
|
91.50 |
| Away |
L
W
|
76.50 |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Win % | 75.0% | 100.0% | 50.0% |
| Total Points Avg | 152.75 | 155.5 | 150 |
| Scored | 84.00 | 91.50 | 76.50 |
| Conceded | 68.75 | 64.00 | 73.50 |
| Pace Avg | 0 | 0 | 0 |
| Off. Rating | 0 | 0 | 0 |
| Def. Rating | 0 | 0 | 0 |
| ATS Cover % | 0% | 0% | 0% |
* Pace is not a value indicator but shows game tempo — higher numbers mean faster play and more possessions.
Scoring consistency tracker
Last 10 games & full season
Last 3 ⚠️
Last 5 ⚠️
Last 10 ⚠️
Season
China is +20% better in terms of Points Scored
China at Home
South Korea at Away
Full-Time
Quarters
| Scored Per Game | China | South Korea |
|---|---|---|
| % Above Avg (+5%) | 100% | 100% |
| % Around Avg (±5%) | 0% | 0% |
| % Well below Avg (-5%) | 0% | 0% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
China is +20% better in terms of Points Scored
China at Home
South Korea at Away
Full-Time
Quarters
| Scored Per Game | China | South Korea |
|---|---|---|
| % Above Avg (+5%) | 100% | 100% |
| % Around Avg (±5%) | 0% | 0% |
| % Well below Avg (-5%) | 0% | 0% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
China is +20% better in terms of Points Scored
China at Home
South Korea at Away
Full-Time
Quarters
| Scored Per Game | China | South Korea |
|---|---|---|
| % Above Avg (+5%) | 100% | 100% |
| % Around Avg (±5%) | 0% | 0% |
| % Well below Avg (-5%) | 0% | 0% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
China is +20% better in terms of Points Scored
China at Home
South Korea at Away
Full-Time
Quarters
| Scored Per Game | China | South Korea |
|---|---|---|
| % Above Avg (+5%) | 100% | 100% |
| % Around Avg (±5%) | 0% | 0% |
| % Well below Avg (-5%) | 0% | 0% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
Offensive Efficiency & Shooting Profile
Where Teams Gain or Lose Value
🟢 Green = strong efficiency or shooting edge · 🟡 Yellow = balanced/average · 🔴 Red = weakness, needs caution. Some stats (like 3P Rate and FT Rate) indicate playing style, not necessarily good or bad — interpret in context.
Possession Control & Rebounding
Assists. Turnovers. Pace
Defensive Consistency vs Season Average
Last 10 & season games
Last 3 ⚠️
Last 5 ⚠️
Last 10 ⚠️
Season
China is +32% better defensively (fewer points conceded)
China at Home
South Korea at Away
Full-Time
Quarters
| Conceded Per Game | China | South Korea |
|---|---|---|
| % Below Avg (-5%) | 0% | 50% |
| % Around Avg (±5%) | 0% | 0% |
| % Well Above Avg (+7%) | 100% | 50% |
🟢 Green = strong defensive hold (unders-friendly) · 🟡 Yellow = neutral · 🔴 Red = weak defense (overs risk). Shares are vs the team's own season average in this context.
China is +32% better defensively (fewer points conceded)
China at Home
South Korea at Away
Full-Time
Quarters
| Conceded Per Game | China | South Korea |
|---|---|---|
| % Below Avg (-5%) | 0% | 50% |
| % Around Avg (±5%) | 0% | 0% |
| % Well Above Avg (+7%) | 100% | 50% |
🟢 Green = strong defensive hold (unders-friendly) · 🟡 Yellow = neutral · 🔴 Red = weak defense (overs risk). Shares are vs the team's own season average in this context.
China is +32% better defensively (fewer points conceded)
China at Home
South Korea at Away
Full-Time
Quarters
| Conceded Per Game | China | South Korea |
|---|---|---|
| % Below Avg (-5%) | 0% | 50% |
| % Around Avg (±5%) | 0% | 0% |
| % Well Above Avg (+7%) | 100% | 50% |
🟢 Green = strong defensive hold (unders-friendly) · 🟡 Yellow = neutral · 🔴 Red = weak defense (overs risk). Shares are vs the team's own season average in this context.
China is +32% better defensively (fewer points conceded)
China at Home
South Korea at Away
Full-Time
Quarters
| Conceded Per Game | China | South Korea |
|---|---|---|
| % Below Avg (-5%) | 0% | 50% |
| % Around Avg (±5%) | 0% | 0% |
| % Well Above Avg (+7%) | 100% | 50% |
🟢 Green = strong defensive hold (unders-friendly) · 🟡 Yellow = neutral · 🔴 Red = weak defense (overs risk). Shares are vs the team's own season average in this context.
Defensive Matchup
Edge Style vs Style
🟢 Green = Clear defensive edge (profitable trend) · 🟡 Yellow = Neutral (no big edge) · 🔴 Red = Weak defense / exploitable
Defensive Pressure & Disruption
Who Forces Mistakes?
🟢 Green = Strong edge · 🟡 Yellow = Average · 🔴 Red = Weak edge
* Rate = per 100 possessions. · Others = per game averages.
Total Points Hit-Rate
Scoring trends 10 & seasone games
Last 3 ⚠️
Last 5 ⚠️
Last 10 ⚠️
Season
Over X Points
Under X Points
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Over 130.5 | 100% | 100% | 100% |
| Over 140.5 | 50% | 50% | 50% |
| Over 150.5 | 0% | 50% | 25% |
| Over 160.5 | 0% | 0% | 0% |
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Under 130.5 | 0% | 0% | 0% |
| Under 140.5 | 50% | 50% | 50% |
| Under 150.5 | 100% | 50% | 75% |
| Under 160.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Over X Points
Under X Points
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Over 130.5 | 100% | 100% | 100% |
| Over 140.5 | 50% | 50% | 50% |
| Over 150.5 | 0% | 50% | 25% |
| Over 160.5 | 0% | 0% | 0% |
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Under 130.5 | 0% | 0% | 0% |
| Under 140.5 | 50% | 50% | 50% |
| Under 150.5 | 100% | 50% | 75% |
| Under 160.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Over X Points
Under X Points
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Over 130.5 | 100% | 100% | 100% |
| Over 140.5 | 50% | 50% | 50% |
| Over 150.5 | 0% | 50% | 25% |
| Over 160.5 | 0% | 0% | 0% |
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Under 130.5 | 0% | 0% | 0% |
| Under 140.5 | 50% | 50% | 50% |
| Under 150.5 | 100% | 50% | 75% |
| Under 160.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Over X Points
Under X Points
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Over 130.5 | 100% | 100% | 100% |
| Over 140.5 | 50% | 50% | 50% |
| Over 150.5 | 0% | 50% | 25% |
| Over 160.5 | 0% | 0% | 0% |
| Match Points | China | South Korea | Average |
|---|---|---|---|
| Under 130.5 | 0% | 0% | 0% |
| Under 140.5 | 50% | 50% | 50% |
| Under 150.5 | 100% | 50% | 75% |
| Under 160.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
China -
Player Projections
Small sample for some players
Last 5 Games
Last 10 Games
Season
List of OUT players:
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Lei Meng | |||||||||||||
| Wang Junjie | |||||||||||||
| Li Xiangbo | |||||||||||||
| Hu Mingxuan | |||||||||||||
| Yu Jiahao | |||||||||||||
| Zhao Jiayi | |||||||||||||
| Gao Shiyan | |||||||||||||
| Zhao Rui | |||||||||||||
| Liao Sanning | |||||||||||||
| Zhu Junlong | |||||||||||||
| Cheng Shuaipeng | |||||||||||||
| Hu Jinqiu |
List of OUT players:
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Lei Meng | |||||||||||||
| Wang Junjie | |||||||||||||
| Li Xiangbo | |||||||||||||
| Hu Mingxuan | |||||||||||||
| Yu Jiahao | |||||||||||||
| Zhao Jiayi | |||||||||||||
| Gao Shiyan | |||||||||||||
| Zhao Rui | |||||||||||||
| Liao Sanning | |||||||||||||
| Zhu Junlong | |||||||||||||
| Cheng Shuaipeng | |||||||||||||
| Hu Jinqiu |
List of OUT players:
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Lei Meng | |||||||||||||
| Wang Junjie | |||||||||||||
| Li Xiangbo | |||||||||||||
| Hu Mingxuan | |||||||||||||
| Yu Jiahao | |||||||||||||
| Zhao Jiayi | |||||||||||||
| Gao Shiyan | |||||||||||||
| Zhao Rui | |||||||||||||
| Liao Sanning | |||||||||||||
| Zhu Junlong | |||||||||||||
| Cheng Shuaipeng | |||||||||||||
| Hu Jinqiu |
* Colored values are our “value check” candidates. Always compare with market lines before deciding.
South Korea -
Player Projections
Small sample for some players
Last 5 Games
Last 10 Games
Season
OUT Players
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Jeong Seong-Woo | |||||||||||||
| Wooseok Lee | |||||||||||||
| Jongkyu Kim | |||||||||||||
| Seounghyun Lee | |||||||||||||
| Lee Jung-hyun | |||||||||||||
| Jun Seok Yeo | |||||||||||||
| Yu Gi-sang | |||||||||||||
| Lee Hyun-jung | |||||||||||||
| Yungi Ha | |||||||||||||
| Jihoon Park | |||||||||||||
| Moon Jeong-hyeon | |||||||||||||
| Yang Jun-seok |
OUT Players
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Jeong Seong-Woo | |||||||||||||
| Wooseok Lee | |||||||||||||
| Jongkyu Kim | |||||||||||||
| Seounghyun Lee | |||||||||||||
| Lee Jung-hyun | |||||||||||||
| Jun Seok Yeo | |||||||||||||
| Yu Gi-sang | |||||||||||||
| Lee Hyun-jung | |||||||||||||
| Yungi Ha | |||||||||||||
| Jihoon Park | |||||||||||||
| Moon Jeong-hyeon | |||||||||||||
| Yang Jun-seok |
OUT Players
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Jeong Seong-Woo | |||||||||||||
| Wooseok Lee | |||||||||||||
| Jongkyu Kim | |||||||||||||
| Seounghyun Lee | |||||||||||||
| Lee Jung-hyun | |||||||||||||
| Jun Seok Yeo | |||||||||||||
| Yu Gi-sang | |||||||||||||
| Lee Hyun-jung | |||||||||||||
| Yungi Ha | |||||||||||||
| Jihoon Park | |||||||||||||
| Moon Jeong-hyeon | |||||||||||||
| Yang Jun-seok |
* Colored values are our “value check” candidates. Always compare with market lines before deciding.
Roasters & Injured Players
China
South Korea
Roasters
Injured
No injured players listed for either team.
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Iran | 3 | 0 | 1.000 | 82.7 | 61.0 | 21.7 |
| 2 | Saudi Arabia | 2 | 1 | 0.667 | 75.3 | 70.0 | 5.3 |
| 3 | Kazakhstan | 1 | 2 | 0.333 | 60.3 | 73.7 | -13.3 |
| 4 | United Arab Emirates | 0 | 3 | 0.000 | 57.7 | 71.3 | -13.7 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | China | 3 | 0 | 1.000 | 91.0 | 56.3 | 34.7 |
| 2 | Chinese Taipei | 2 | 1 | 0.667 | 76.0 | 75.3 | 0.7 |
| 3 | Hong Kong China | 1 | 2 | 0.333 | 60.3 | 80.0 | -19.7 |
| 4 | Mongolia | 0 | 3 | 0.000 | 63.0 | 78.7 | -15.7 |
| 5 | Lebanon | 0 | 0 | 0.000 | 0.0 | 0.0 | 0.0 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Jordan | 3 | 0 | 1.000 | 89.3 | 61.7 | 27.7 |
| 2 | Philippines | 2 | 1 | 0.667 | 79.3 | 73.3 | 6.0 |
| 3 | Bahrain | 1 | 2 | 0.333 | 65.7 | 78.3 | -12.7 |
| 4 | Thailand | 0 | 3 | 0.000 | 65.7 | 86.7 | -21.0 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Japan | 3 | 0 | 1.000 | 82.7 | 65.7 | 17.0 |
| 2 | South Korea | 2 | 1 | 0.667 | 82.7 | 67.3 | 15.3 |
| 3 | Qatar | 1 | 2 | 0.333 | 67.0 | 79.3 | -12.3 |
| 4 | Indonesia | 0 | 3 | 0.000 | 59.7 | 79.7 | -20.0 |
Monthly & Opponent Breakdown (How to Use)
Compares a team/player’s overall averages to their performance vs a specific opponent.
Why it’s useful:
Betting use:
Game Outcome Summary (How to Use)