72.67
L
W
L
Italy
Thursday Sep 07, 2023 - 04:45 (America/New_York)
Italy vs Latvia
Stats, H2H, Live Scores & xG
84.00
L
W
W
L
W
Latvia
Note: The current season has recently started, and one or both teams have played fewer than 5 matches.
Scoring Intelligence Panel
Italy vs Latvia
N/A
Possessions / Game
League Average: N/A
163
Points / Match
League Average: 169
15.4
( High )
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 | Italy | Latvia |
|---|---|---|
| Average Total Points (Last 5 Games) | 157.80 | 168.20 |
| Previous 5 Avg | 0 | 0 |
| Trend Line (Last 5 Games) | 163, 130, 154, 173, 169 | 160, 188, 143, 176, 174 |
🟢 Green = value ✅ ·
🟡 Yellow = risky ⚠️ ·
🔴 Red = skip ❌
Team performance vs top opponents
scoring, conceding, and net rating.
| Metric | Italy | Latvia |
|---|---|---|
| Avg Pts vs Top 5 Def | 82.8 | 87.0 |
| Avg Pts Conceded vs Top 5 Off | 78.3 | 82.0 |
| 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.
Italy
Latvia
| Period | Avg Points Scored | Avg Points Conceded | Net Change |
|---|---|---|---|
| Last 5 | 76.2 | 81.8 | -5.6 |
| Period | Avg Points Scored | Avg Points Conceded | Net Change |
|---|---|---|---|
| Last 5 | 88.4 | 75.8 | +12.6 |
🟢 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.
Italy
FIBA Basketball World Cup
League Pos.
0 / 32
| Form | Results | PPG |
|---|---|---|
| Overall |
L
W
W
W
L
|
77.83 |
| Home |
L
W
L
|
72.67 |
| Away |
W
W
W
|
83.00 |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Win % | 66.7% | 33.3% | 100.0% |
| Total Points Avg | 156.16 | 154 | 158.33 |
| Scored | 77.83 | 72.67 | 83.00 |
| Conceded | 78.33 | 81.33 | 75.33 |
| 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.
Latvia
FIBA Basketball World Cup
League Pos.
0 / 32
| Form | Results | PPG |
|---|---|---|
| Overall |
L
W
W
L
W
|
88.17 |
| Home |
W
|
109.00 |
| Away |
L
W
W
L
W
|
84.00 |
| Stats | Overall | Home | Away |
|---|---|---|---|
| Win % | 66.7% | 100.0% | 60.0% |
| Total Points Avg | 170 | 179 | 168.2 |
| Scored | 88.17 | 109.00 | 84.00 |
| Conceded | 81.83 | 70.00 | 84.20 |
| 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
Latvia is +18% better in terms of Points Scored
Italy at Home
Latvia at Away
Full-Time
Quarters
| Scored Per Game | Italy | Latvia |
|---|---|---|
| % Above Avg (+5%) | 0% | 33% |
| % Around Avg (±5%) | 33% | 0% |
| % Well below Avg (-5%) | 67% | 67% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
Latvia is +16% better in terms of Points Scored
Italy at Home
Latvia at Away
Full-Time
Quarters
| Scored Per Game | Italy | Latvia |
|---|---|---|
| % Above Avg (+5%) | 0% | 20% |
| % Around Avg (±5%) | 33% | 20% |
| % Well below Avg (-5%) | 67% | 60% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
Latvia is +16% better in terms of Points Scored
Italy at Home
Latvia at Away
Full-Time
Quarters
| Scored Per Game | Italy | Latvia |
|---|---|---|
| % Above Avg (+5%) | 0% | 20% |
| % Around Avg (±5%) | 33% | 20% |
| % Well below Avg (-5%) | 67% | 60% |
🟢 Green = potential value signal · 🟡 Yellow = needs confirmation · 🔴 Red = caution. Shares are vs the team's own season average in this context.
Latvia is +16% better in terms of Points Scored
Italy at Home
Latvia at Away
Full-Time
Quarters
| Scored Per Game | Italy | Latvia |
|---|---|---|
| % Above Avg (+5%) | 0% | 20% |
| % Around Avg (±5%) | 33% | 20% |
| % Well below Avg (-5%) | 67% | 60% |
🟢 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
Latvia is +4% better defensively (fewer points conceded)
Italy at Home
Latvia at Away
Full-Time
Quarters
| Conceded Per Game | Italy | Latvia |
|---|---|---|
| % Below Avg (-5%) | 33% | 0% |
| % Around Avg (±5%) | 33% | 67% |
| % Well Above Avg (+7%) | 33% | 33% |
🟢 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.
Italy is +3% better defensively (fewer points conceded)
Italy at Home
Latvia at Away
Full-Time
Quarters
| Conceded Per Game | Italy | Latvia |
|---|---|---|
| % Below Avg (-5%) | 33% | 20% |
| % Around Avg (±5%) | 33% | 60% |
| % Well Above Avg (+7%) | 33% | 20% |
🟢 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.
Italy is +3% better defensively (fewer points conceded)
Italy at Home
Latvia at Away
Full-Time
Quarters
| Conceded Per Game | Italy | Latvia |
|---|---|---|
| % Below Avg (-5%) | 33% | 20% |
| % Around Avg (±5%) | 33% | 60% |
| % Well Above Avg (+7%) | 33% | 20% |
🟢 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.
Italy is +3% better defensively (fewer points conceded)
Italy at Home
Latvia at Away
Full-Time
Quarters
| Conceded Per Game | Italy | Latvia |
|---|---|---|
| % Below Avg (-5%) | 33% | 20% |
| % Around Avg (±5%) | 33% | 60% |
| % Well Above Avg (+7%) | 33% | 20% |
🟢 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 | Italy | Latvia | Average |
|---|---|---|---|
| Over 130.5 | 67% | 100% | 88% |
| Over 140.5 | 67% | 100% | 88% |
| Over 150.5 | 67% | 80% | 75% |
| Over 160.5 | 67% | 60% | 63% |
| Over 170.5 | 0% | 60% | 38% |
| Over 180.5 | 0% | 20% | 13% |
| Over 190.5 | 0% | 0% | 0% |
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Under 130.5 | 33% | 0% | 12% |
| Under 140.5 | 33% | 0% | 12% |
| Under 150.5 | 33% | 20% | 25% |
| Under 160.5 | 33% | 40% | 37% |
| Under 170.5 | 100% | 40% | 62% |
| Under 180.5 | 100% | 80% | 87% |
| Under 190.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Over X Points
Under X Points
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Over 130.5 | 33% | 67% | 50% |
| Over 140.5 | 33% | 67% | 50% |
| Over 150.5 | 33% | 67% | 50% |
| Over 160.5 | 33% | 33% | 33% |
| Over 170.5 | 0% | 33% | 17% |
| Over 180.5 | 0% | 33% | 17% |
| Over 190.5 | 0% | 0% | 0% |
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Under 130.5 | 67% | 33% | 50% |
| Under 140.5 | 67% | 33% | 50% |
| Under 150.5 | 67% | 33% | 50% |
| Under 160.5 | 67% | 67% | 67% |
| Under 170.5 | 100% | 67% | 83% |
| Under 180.5 | 100% | 67% | 83% |
| Under 190.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Over X Points
Under X Points
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Over 130.5 | 67% | 80% | 75% |
| Over 140.5 | 67% | 80% | 75% |
| Over 150.5 | 67% | 60% | 63% |
| Over 160.5 | 67% | 40% | 50% |
| Over 170.5 | 0% | 40% | 25% |
| Over 180.5 | 0% | 20% | 13% |
| Over 190.5 | 0% | 0% | 0% |
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Under 130.5 | 33% | 20% | 25% |
| Under 140.5 | 33% | 20% | 25% |
| Under 150.5 | 33% | 40% | 37% |
| Under 160.5 | 33% | 60% | 50% |
| Under 170.5 | 100% | 60% | 75% |
| Under 180.5 | 100% | 80% | 87% |
| Under 190.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Over X Points
Under X Points
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Over 130.5 | 67% | 100% | 88% |
| Over 140.5 | 67% | 100% | 88% |
| Over 150.5 | 67% | 80% | 75% |
| Over 160.5 | 67% | 60% | 63% |
| Over 170.5 | 0% | 60% | 38% |
| Over 180.5 | 0% | 20% | 13% |
| Over 190.5 | 0% | 0% | 0% |
| Match Points | Italy | Latvia | Average |
|---|---|---|---|
| Under 130.5 | 33% | 0% | 12% |
| Under 140.5 | 33% | 0% | 12% |
| Under 150.5 | 33% | 20% | 25% |
| Under 160.5 | 33% | 40% | 37% |
| Under 170.5 | 100% | 40% | 62% |
| Under 180.5 | 100% | 80% | 87% |
| Under 190.5 | 100% | 100% | 100% |
🟢 Green = Strong over-trend· 🟡 Yellow = Balanced · 🔴 Red = Weak over-trend
Italy -
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 |
| Darius Thompson | |||||||||||||
| Marco Spissu | |||||||||||||
| Nicolo Melli | |||||||||||||
| Simone Fontecchio | |||||||||||||
| Giampaolo Ricci | |||||||||||||
| Alessandro Pajola | |||||||||||||
| Danilo Gallinari | |||||||||||||
| Mouhamet Diouf | |||||||||||||
| Matteo Spagnolo | |||||||||||||
| Saliou Niang | |||||||||||||
| Gabriele Procida | |||||||||||||
| Akele Nicola |
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 |
| Darius Thompson | |||||||||||||
| Marco Spissu | |||||||||||||
| Nicolo Melli | |||||||||||||
| Simone Fontecchio | |||||||||||||
| Giampaolo Ricci | |||||||||||||
| Alessandro Pajola | |||||||||||||
| Danilo Gallinari | |||||||||||||
| Mouhamet Diouf | |||||||||||||
| Matteo Spagnolo | |||||||||||||
| Saliou Niang | |||||||||||||
| Gabriele Procida | |||||||||||||
| Akele Nicola |
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 |
| Darius Thompson | |||||||||||||
| Marco Spissu | |||||||||||||
| Nicolo Melli | |||||||||||||
| Simone Fontecchio | |||||||||||||
| Giampaolo Ricci | |||||||||||||
| Alessandro Pajola | |||||||||||||
| Danilo Gallinari | |||||||||||||
| Mouhamet Diouf | |||||||||||||
| Matteo Spagnolo | |||||||||||||
| Saliou Niang | |||||||||||||
| Gabriele Procida | |||||||||||||
| Akele Nicola |
* Colored values are our “value check” candidates. Always compare with market lines before deciding.
Latvia -
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 |
| Rolands Smits | |||||||||||||
| Klavs Cavars | |||||||||||||
| Kristers Zoriks | |||||||||||||
| Arturs Martins Zagars | |||||||||||||
| Dairis Bertans | |||||||||||||
| Mareks Mejeris | |||||||||||||
| Davis Bertans | |||||||||||||
| Andrejs Grazulis | |||||||||||||
| Rihards Lomazs | |||||||||||||
| Marcis Steinbergs | |||||||||||||
| Arturs Kurucs | |||||||||||||
| Kristaps Porzingis | |||||||||||||
| Dairis Bertans | |||||||||||||
| Arturs Kurucs |
OUT Players
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Rolands Smits | |||||||||||||
| Klavs Cavars | |||||||||||||
| Kristers Zoriks | |||||||||||||
| Arturs Martins Zagars | |||||||||||||
| Dairis Bertans | |||||||||||||
| Mareks Mejeris | |||||||||||||
| Davis Bertans | |||||||||||||
| Andrejs Grazulis | |||||||||||||
| Rihards Lomazs | |||||||||||||
| Marcis Steinbergs | |||||||||||||
| Arturs Kurucs | |||||||||||||
| Kristaps Porzingis | |||||||||||||
| Dairis Bertans | |||||||||||||
| Arturs Kurucs |
OUT Players
Reset all to IN
| Status | Players | MIN | 2PA/G | 3PA/G | FTA/G | PTS | REB | AST | STL | BLK | TOV | GP | PRA |
| Rolands Smits | |||||||||||||
| Klavs Cavars | |||||||||||||
| Kristers Zoriks | |||||||||||||
| Arturs Martins Zagars | |||||||||||||
| Dairis Bertans | |||||||||||||
| Mareks Mejeris | |||||||||||||
| Davis Bertans | |||||||||||||
| Andrejs Grazulis | |||||||||||||
| Rihards Lomazs | |||||||||||||
| Marcis Steinbergs | |||||||||||||
| Arturs Kurucs | |||||||||||||
| Kristaps Porzingis | |||||||||||||
| Dairis Bertans | |||||||||||||
| Arturs Kurucs |
* Colored values are our “value check” candidates. Always compare with market lines before deciding.
Roasters & Injured Players
Italy
Latvia
Roasters
Injured
No injured players listed for either team.
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Dominican Republic | 3 | 0 | 1.000 | 83.0 | 76.7 | 6.3 |
| 2 | Italy | 2 | 1 | 0.670 | 84.3 | 79.0 | 5.3 |
| 3 | Angola | 1 | 2 | 0.330 | 71.3 | 75.3 | -4.0 |
| 4 | Philippines | 0 | 3 | 0.000 | 78.0 | 85.7 | -7.7 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Serbia | 3 | 0 | 1.000 | 104.7 | 74.3 | 30.3 |
| 2 | Puerto Rico | 2 | 1 | 0.670 | 95.0 | 93.0 | 2.0 |
| 3 | South Sudan | 1 | 2 | 0.330 | 89.3 | 95.0 | -5.7 |
| 4 | China | 0 | 3 | 0.000 | 73.7 | 100.3 | -26.7 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | USA | 3 | 0 | 1.000 | 106.0 | 71.7 | 34.3 |
| 2 | Greece | 2 | 1 | 0.670 | 85.3 | 84.7 | 0.7 |
| 3 | New Zealand | 1 | 2 | 0.330 | 80.3 | 89.7 | -9.3 |
| 4 | Jordan | 0 | 3 | 0.000 | 73.3 | 99.0 | -25.7 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Lithuania | 3 | 0 | 1.000 | 93.3 | 68.0 | 25.3 |
| 2 | Montenegro | 2 | 1 | 0.670 | 83.7 | 78.7 | 5.0 |
| 3 | Egypt | 1 | 2 | 0.330 | 80.3 | 84.7 | -4.3 |
| 4 | Mexico | 0 | 3 | 0.000 | 69.7 | 95.7 | -26.0 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Slovenia | 3 | 0 | 1.000 | 93.3 | 76.3 | 17.0 |
| 2 | Georgia | 2 | 1 | 0.670 | 74.0 | 69.0 | 5.0 |
| 3 | Cape Verde | 1 | 2 | 0.330 | 72.7 | 84.0 | -11.3 |
| 4 | Venezuela | 0 | 3 | 0.000 | 73.0 | 83.7 | -10.7 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Spain | 3 | 0 | 1.000 | 91.7 | 69.0 | 22.7 |
| 2 | Brazil | 2 | 1 | 0.670 | 89.0 | 77.3 | 11.7 |
| 3 | Cote d'Ivoire | 1 | 2 | 0.330 | 70.7 | 84.0 | -13.3 |
| 4 | Iran | 0 | 3 | 0.000 | 64.3 | 85.3 | -21.0 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Italy | 4 | 1 | 0.800 | 80.8 | 74.0 | 6.8 |
| 2 | Serbia | 4 | 1 | 0.800 | 100.4 | 76.0 | 24.4 |
| 3 | Puerto Rico | 3 | 2 | 0.600 | 88.8 | 89.8 | -1.0 |
| 4 | Dominican Republic | 3 | 2 | 0.600 | 85.0 | 88.8 | -3.8 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Lithuania | 5 | 0 | 1.000 | 96.4 | 75.0 | 21.4 |
| 2 | USA | 4 | 1 | 0.800 | 101.4 | 79.6 | 21.8 |
| 3 | Montenegro | 3 | 2 | 0.600 | 79.4 | 78.0 | 1.4 |
| 4 | Greece | 2 | 3 | 0.400 | 78.4 | 83.8 | -5.4 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Egypt | 2 | 3 | 0.400 | 82.4 | 82.2 | 0.2 |
| 2 | New Zealand | 2 | 3 | 0.400 | 85.8 | 92.6 | -6.8 |
| 3 | Mexico | 2 | 3 | 0.400 | 82.0 | 93.4 | -11.4 |
| 4 | Jordan | 0 | 5 | 0.000 | 73.8 | 95.0 | -21.2 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | Japan | 3 | 2 | 0.600 | 83.2 | 85.2 | -2.0 |
| 2 | Finland | 2 | 3 | 0.400 | 85.0 | 89.8 | -4.8 |
| 3 | Cape Verde | 1 | 4 | 0.200 | 73.2 | 86.4 | -13.2 |
| 4 | Venezuela | 0 | 5 | 0.000 | 74.2 | 85.4 | -11.2 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | France | 3 | 2 | 0.600 | 81.0 | 78.8 | 2.2 |
| 2 | Lebanon | 2 | 3 | 0.400 | 79.4 | 95.8 | -16.4 |
| 3 | Cote d'Ivoire | 1 | 4 | 0.200 | 74.6 | 86.6 | -12.0 |
| 4 | Iran | 0 | 5 | 0.000 | 64.2 | 83.8 | -19.6 |
| # | Team | W | L | PCT | PPG | OPP PPG | DIFF |
|---|---|---|---|---|---|---|---|
| 1 | South Sudan | 3 | 2 | 0.600 | 91.2 | 86.2 | 5.0 |
| 2 | Philippines | 1 | 4 | 0.200 | 79.6 | 83.8 | -4.2 |
| 3 | Angola | 1 | 4 | 0.200 | 73.6 | 82.0 | -8.4 |
| 4 | China | 1 | 4 | 0.200 | 75.8 | 94.6 | -18.8 |
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)