by
29 spalio, 2025
👉 This section highlights the referee’s influence on a match.
✅ What it shows:
Goals per match avg. → Does this ref usually oversee high- or low-scoring games?
Yellow cards / Red cards avg. → Strict vs. lenient referee.
Corners avg. → Flow & attacking intensity allowed.
Offsides avg. → Ref’s tolerance on line calls, often linked to high-paced matches.
⚠️ Betting use:
High Yellow Avg (4.5+) → good for Over Cards markets.
Low Cards + High Goals Avg → referee lets play flow → more attacking, good for Over Goals.
High Corners Avg (10+) → ref tolerates physical play → more blocked shots & attacking restarts.
Very low Goals Avg (<2.0) with high cards → match control ref → good for Under Goals, Over Cards combo.
📊 Pro tip:
Ref performance is often overlooked but can swing betting lines in tight games.
Use it as a tiebreaker filter → if both teams suggest a high-cards game and the ref averages 5+ yellows, it becomes a strong betting angle.
👉 This section breaks down shooting volume and accuracy for each team.
✅ What it shows:
Shots per match (overall volume).
Conversion rate (shots → goals efficiency).
On target / Off target splits.
Threshold probabilities → % of games each team goes over 14.5, 15.5 shots, or X shots on target.
Shots per goal scored → how many attempts needed for 1 goal.
⚠️ Betting use:
High shots + low conversion = wasteful team (good for Under Goals, good for Over Shots on Target).
High shots + high conversion = clinical team (good for Over Goals, First To Score markets).
Match shots thresholds (14.5 / 15.5) are great for corner bets correlation → more shots often = more corners.
📊 Pro tip:
Compare Shots per Goal → If a team needs 25+ shots for 1 goal, expect frustration matches (good for unders).
If both sides average 7+ shots on target, it’s usually a strong signal for Over 2.5 Goals.
👉 This section predicts the total card count across both teams.
✅ What it shows:
Season average or form filters (Last 3/5/10 games).
Probability of passing thresholds → Over 0.5, 1.5, 2.5 … 8.5 cards.
Splits available: Full-Time, 1st Half, 2nd Half.
⚠️ Betting use:
Ideal for Over/Under Total Cards markets.
Over 3.5 or 4.5 → useful for derbies or physical matchups.
Under 3.5 → good when both teams play disciplined and referees are lenient.
Cross-check with Team Discipline Profile (which team contributes more).
📊 Pro tip:
Look for Over 4.5 or 5.5 when both teams already average 2+ cards each.
Look for Under markets when both are below league average.
👉 In short: This tool is about overall card volume expectation, while the Team Discipline Profile shows which team drives it. Using both together gives the clearest edge.
👉 This section shows how often each team collects yellow/red cards.
✅ What it shows:
Average cards per match (season or last 3/5/10 games).
Breakdown by team → Hertha Berlin vs SC Paderborn.
Threshold hit rates → % of games with Over 3.5, 4.5, 5.5, 6.5 cards.
Split by Full-Time, 1st Half, 2nd Half.
⚠️ Betting use:
Ideal for Over/Under Cards markets.
If both teams average high cards → Over 4.5/5.5 is realistic.
If one team is very disciplined → Under markets safer.
Useful for “Which team will get more cards?” props.
Combine with referee stats (if available) → referees with high booking rates boost card totals.
👉 In short: Use this to judge if a matchup is a low-discipline game (few cards) or a heated battle (many cards).
👉 This section shows how often matches go over key corner lines (7.5, 8.5, 9.5, etc.).
✅ What it shows:
Historical hit rates for each line (season, last 3/5/10 matches).
Team-by-team breakdown → who drives the corner count.
Full-Time, 1st Half, 2nd Half options.
⚠️ Betting use:
Perfect for Over/Under Corners strategies.
If both teams consistently go Over 9.5+ → high corner expectation.
If historical volume trends stay low → safer to expect Under.
Combine with Corner Generation Rate → confirms consistency.
👉 In short: This tells you if the matchup is a low-line (7.5–8.5 corners) game or a high-line (10.5–12.5+ corners) game.
👉 Model shows expected corner count based on both teams’ performances.
✅ What it shows:
Total Corners (FT, 1H, 2H) → projected combined corners.
Team Corners → average corners earned by each side.
Over/Under lines (3.5, 4.5, etc.) with hit % trends.
Filters for last 3, 5, 10 matches → recent form vs. season average.
⚠️ Betting use:
Useful for Over/Under Corners markets.
Compare Full-Time vs. 1st Half → helps spot early corner-heavy teams.
If one team attacks wide → expect higher corner generation.
Combine with Attacking Strength & Defensive Gaps (teams under pressure = more corners).
👉 In short: Corners = hidden value market.
This tool shows whether to expect a corner-heavy or corner-light game.
👉 Advanced model showing the chance of goals in each half for both teams.
✅ What it shows:
BTTS (1st / 2nd Half) → if both teams usually score in that half.
Over/Under (0.5, 1.5, 2.5) → probability of total goals in each half.
BTTS Both Halves → rare stat, if both teams score in both halves.
⚠️ Betting use:
Great for halftime markets (1st half goals, 2nd half overs).
BTTS (1st half) = quick action, BTTS (2nd half) = late drama.
Combine with Scoring Probability by Period for extra timing accuracy.
In short:
👉 This panel = which half is more likely to deliver goals.
Helps with 1st half / 2nd half totals, BTTS by half, and live betting.
👉 Compares how many goals each team concedes (Hertha at home vs Paderborn away).
✅ What it shows:
Conceded per Match (bars) → average goals allowed.
Over 0.5 / 1.5 / 2.5 % → how often they concede 1+, 2+, etc.
Failed to Concede % → how often they keep a clean sheet.
⚠️ Analysis use:
High concede % = weak defense → stronger chance of opponent scoring.
Low concede % = solid defense → harder for opponent to score.
Combine with Attacking Strength to see if offense vs defense creates a clear mismatch.
In short:
👉 This panel = which team is easier to score against.
Use it to decide on:
BTTS (if both defenses are weak, chances increase)
Overs/Unders
Opponent team goals.
👉 Advanced model that gives a percentage chance of:
Team A scoring ⚽
Team B scoring ⚽
Both Teams to Score (BTTS) ✅
✅ Why it’s useful:
Turns raw stats into a clear probability (easy to read).
Helps you instantly judge if a team is more likely to score or stay quiet.
BTTS % combines attack & defense data → very handy for both teams to score markets.
⚠️ Analysis use:
High % = stronger likelihood → can be used for Team Goals or BTTS bets.
Low % = risky → avoid overs/BTTS when scoring chance is weak.
Works best when combined with form & matchup stats (don’t rely on it alone).
In short:
👉 This panel = quick powered scoring probability.
It’s a shortcut that translates complex stats into yes/no scoring chances you can act on.
👉 Compares goals scored at home (Hertha Berlin) vs away (Paderborn).
✅ What it shows:
Avg Goals (bars) → how many goals each side scores in that setting.
Over 0.5 / 1.5 / 2.5 % → how often they hit scoring milestones.
Failed to Score % → danger sign, how often a team blanks.
⚠️ Betting use:
If one side has a much higher scoring rate → they are more likely to deliver goals.
High Failed to Score % = risky for BTTS.
Combine with defense stats to check if the stronger attack can actually break through.
In short:
👉 This panel = which team is more dangerous in attack.
Use it to judge:
BTTS ❌ / ✅
Team Totals (Over/Under 0.5, 1.5 goals)
Match goal expectations.
👉 Quick summary of goals & scoring trends compared to league average.
✅ What it shows:
Over 2.5 % = how often games finish with 3+ goals.
Over 1.5 % = how often games finish with 2+ goals.
Goals / Match = average goals scored in this fixture.
BTTS % = how often both teams score in this matchup.
⚠️ Betting use:
If % is much lower than league average → game leans to unders/low scoring.
If % is much higher than league average → game leans to overs/high scoring.
BTTS % helps decide if both teams are likely to score (or if one side is usually blank).
In short:
👉 This panel = quick over/under & BTTS guide.
Great for building totals & both-teams-to-score decisions without deep analysis.
👉 Shows in which 15-minute intervals teams are most likely to score.
✅ Why it’s useful:
Highlights “hot periods” when teams often find the net (e.g., Hertha 75’–90’ = 50%).
Compare both teams → spot if one usually scores late while the other concedes late.
Useful for live betting (goal timing, over 0.5 goals in a period, next goal markets).
⚠️ Betting use:
If both teams have high % in the same window → strong chance of late or early goals.
If % is very low → that period is usually quiet (good for unders or no-goal markets).
In short:
👉 This chart = when goals usually come.
Use it for live timing bets and to predict whether the 1st half / 2nd half has more action.