Julian Boyd
Age : 36 (February 1, 1990)
Weight : 0kg
Height : 201cm
👉 Shows league-wide averages to use as a baseline for comparison.
✅ Why it’s useful:
Avg Pace = how fast teams play (more pace → more possessions → more points).
Avg Offensive Rating = how many points teams score per 100 possessions.
Avg Defensive Rating = how many points teams allow per 100 possessions.
ATS Cover % (Home/Away) = how often teams cover the spread at home/away.
Avg Total Points (Last 10 Games) = recent league scoring trend.
Season Avg Total Points = full-season scoring baseline.
⚠️ Betting use:
Compare team stats vs league averages → see if a team is above or below normal.
Good for deciding if a matchup is likely faster, higher-scoring, or tighter than the average game.
In short:
👉 This panel = league benchmark. Use it to judge if today’s matchup is stronger, weaker, faster, or slower compared to the league norm.
Monthly & Opponent Breakdown (How to Use)
Compares a team/player’s overall averages to their performance vs a specific opponent.
Why it’s useful:
Shows if they overperform or underperform vs certain opponents.
Example: If PTS vs Dallas Wings > season average → they score more against this team.
Example: If FG% drops vs opponent → they struggle with that defense.
Betting use:
Great for spotting matchup edges (teams/players that consistently do better or worse against a certain opponent).
Combine with trends → strong for player props and head-to-head betting analysis.
In short: Use it to check if today’s opponent is a “good or bad matchup.”
👉 Compares player stats in the last 5 games vs last 10 games.
✅ Why it’s useful:
Shows current form — is the player heating up or cooling down?
If Last 5 > Last 10 → player is improving recently.
If Last 5 < Last 10 → player is slowing down.
⚠️ Betting use:
Great for player props (points, rebounds, assists).
Spot players in hot streaks (good value) or slumps (avoid).
In short:
Last 5 games = short-term form 📈📉
Last 10 games = bigger sample, stability check
Compare both to judge if the trend is real or just a short streak.
Game Outcome Summary (How to Use) Compares how a team/player performs in games they win vs games they lose.
Why it’s useful:
Shows which stats drive wins (e.g., higher FG%, more rebounds, more assists).
Shows weakness in losses (e.g., lower shooting %, fewer points, poor defense).
Helps you see what needs to happen for them to win again.
Analysis use:
If a team needs a strong 3P% or high scoring to win → check matchup strength before betting.
If they lose when rebounds drop → opponent with strong rebounding is a bad spot.
In short:
Wins column = their “winning formula.”
Losses column = their “danger signs.”
Use this to spot whether today’s matchup looks closer to a win-type game or a loss-type game.
👉 Compares player/team stats in Home vs Away games.
✅ Useful to see if a player/team performs better at home or away.
Example: Higher PTS away → player scores more on the road.
Example: Lower FG% at home → struggles in home games.
⚠️ Don’t mix this with season averages — it’s about location trends only.
👉 Shows each player’s average stats (points, rebounds, assists, etc.) over last 5, 10, or season.
✅ Best for player prop bets (e.g., Player Points, PRA, Rebounds).
⚠️ Totals here will not equal team averages — because players miss games, minutes change, and some stats overlap.
❌ Don’t use this panel for team totals / overs. Use Team Stats panels instead.
👉 % of games where the team allowed at least 5% fewer points than their season average.
✅ High % = defense often stronger than usual → good for unders.
👉 % of games where points allowed stayed close to season average.
✅ High % = steady, predictable defense.
👉 % of games where the team allowed much more (+7% or worse) than their season average.
❌ High % = defense often collapses → risk for overs.
👉 % of games where the team scored at least 5% more than their season average.
✅ Higher % = team often outperforms → strong scoring signal.
👉 % of games where the team scored close to their average (within 5%).
✅ Higher % = team is steady, predictable.
👉 % of games where the team scored much less than their season average.
❌ Higher % = team often underperforms, risky.
👉 The team’s average points over the last 5 (or previous 5) games.
✅ Higher = offense is improving.
❌ Lower = scoring slowdown.
👉 The average points the team allows over the last 5 (or previous 5) games.
✅ Lower = defense is getting stronger.
❌ Higher = defense is slipping.
👉 The difference between scoring and conceding compared to the previous 5 games.
✅ Positive = team is improving overall.
❌ Negative = form is declining.
👉 How many points the team scores against the league’s strongest defenses.
✅ High number = team can still score even vs tough defenses.
👉 How many points the team allows against the league’s strongest offenses.
✅ Lower number = defense holds up well against elite attacks.
👉 The difference between scoring and conceding vs top teams.
✅ Positive = strong performance vs top opponents.
❌ Negative = they struggle against the best.
👉 The average score from the last 5 games.
✅ If it’s higher than normal → teams are playing faster / scoring more.
👉 The average score from the 5 games before that.
✅ Compare with the last 5 → if it’s going up 📈, scoring is improving.
👉 The real points from each of the last 5 games.
✅ Look for patterns → going up = hot form, going down = cooling off.
👉 How many times teams usually get the ball in a game.
✅ More possessions = faster pace, usually more points.
👉 The average total score in games.
✅ Higher than the league average = good chance for overs.
👉 How “stable” or “crazy” the results are.
✅ Low volatility = steady results.
❌ High volatility = risky, games swing a lot.