
England /
English Conference North Division

England /
English Conference North Division
| # | Team | MP | Win | GF | GA | GD | Pts | AVG |
|---|---|---|---|---|---|---|---|---|
| 1 | AFC Fylde | 15 | 73% | 36 | 17 | 19 | 35 | 3.53 |
| 2 | South Shields | 13 | 77% | 26 | 6 | 20 | 32 | 2.46 |
| 3 | Radcliffe Borough | 14 | 64% | 33 | 16 | 17 | 28 | 3.50 |
| 4 | Kidderminster Harriers | 16 | 44% | 20 | 19 | 1 | 27 | 2.44 |
| 5 | Scarborough | 15 | 53% | 23 | 21 | 2 | 26 | 2.93 |
| 6 | Merthyr Town | 15 | 53% | 30 | 28 | 2 | 25 | 3.87 |
| 7 | Curzon Ashton FC | 16 | 38% | 28 | 22 | 6 | 24 | 3.13 |
| 8 | Macclesfield Town | 14 | 50% | 21 | 17 | 4 | 24 | 2.71 |
| 9 | Spennymoor Town | 14 | 50% | 24 | 24 | 0 | 24 | 3.43 |
| 10 | Buxton FC | 14 | 50% | 27 | 20 | 7 | 23 | 3.36 |
| 11 | Chorley FC | 16 | 38% | 29 | 25 | 4 | 21 | 3.38 |
| 12 | Marine | 15 | 40% | 16 | 24 | -8 | 20 | 2.67 |
| 13 | Darlington | 15 | 33% | 26 | 22 | 4 | 19 | 3.20 |
| 14 | Bedford Town | 15 | 33% | 20 | 22 | -2 | 19 | 2.80 |
| 15 | Kings Lynn | 16 | 25% | 23 | 22 | 1 | 18 | 2.81 |
| 16 | Worksop Town | 16 | 31% | 21 | 29 | -8 | 18 | 3.13 |
| 17 | AFC Telford United | 14 | 29% | 22 | 24 | -2 | 16 | 3.29 |
| 18 | Chester FC | 14 | 21% | 18 | 23 | -5 | 16 | 2.93 |
| 19 | Hereford United | 15 | 27% | 18 | 26 | -8 | 16 | 2.93 |
| 20 | Peterborough Sports | 15 | 27% | 16 | 29 | -13 | 14 | 3.00 |
| 21 | Alfreton Town | 15 | 20% | 11 | 29 | -18 | 14 | 2.67 |
| 22 | Leamington | 15 | 20% | 11 | 20 | -9 | 13 | 2.07 |
| 23 | Oxford City | 16 | 19% | 24 | 28 | -4 | 12 | 3.25 |
| 24 | Southport FC | 15 | 20% | 14 | 24 | -10 | 12 | 2.53 |
๐ This section highlights the refereeโs influence on a match.
โ What it shows:
Goals per match avg. โ Does this ref usually oversee high- or low-scoring games?
Yellow cards / Red cards avg. โ Strict vs. lenient referee.
Corners avg. โ Flow & attacking intensity allowed.
Offsides avg. โ Refโs tolerance on line calls, often linked to high-paced matches.
โ ๏ธ Betting use:
High Yellow Avg (4.5+) โ good for Over Cards markets.
Low Cards + High Goals Avg โ referee lets play flow โ more attacking, good for Over Goals.
High Corners Avg (10+) โ ref tolerates physical play โ more blocked shots & attacking restarts.
Very low Goals Avg (<2.0) with high cards โ match control ref โ good for Under Goals, Over Cards combo.
๐ Pro tip:
Ref performance is often overlooked but can swing betting lines in tight games.
Use it as a tiebreaker filter โ if both teams suggest a high-cards game and the ref averages 5+ yellows, it becomes a strong betting angle.
๐ This section breaks down shooting volume and accuracy for each team.
โ What it shows:
Shots per match (overall volume).
Conversion rate (shots โ goals efficiency).
On target / Off target splits.
Threshold probabilities โ % of games each team goes over 14.5, 15.5 shots, or X shots on target.
Shots per goal scored โ how many attempts needed for 1 goal.
โ ๏ธ 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 โ more shots often = more corners.
๐ Pro tip:
Compare Shots per Goal โ If a team needs 25+ shots for 1 goal, expect frustration matches (good for unders).
If both sides average 7+ shots on target, itโs usually a strong signal for Over 2.5 Goals.
๐ This section predicts the total card count across both teams.
โ What it shows:
Season average or form filters (Last 3/5/10 games).
Probability of passing thresholds โ Over 0.5, 1.5, 2.5 โฆ 8.5 cards.
Splits available: Full-Time, 1st Half, 2nd Half.
โ ๏ธ Betting use:
Ideal for Over/Under Total Cards markets.
Over 3.5 or 4.5 โ useful for derbies or physical matchups.
Under 3.5 โ good when both teams play disciplined and referees are lenient.
Cross-check with Team Discipline Profile (which team contributes more).
๐ 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.
๐ 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.
๐ This section shows how often each team collects yellow/red cards.
โ What it shows:
Average cards per match (season or last 3/5/10 games).
Breakdown by team โ Hertha Berlin vs SC Paderborn.
Threshold hit rates โ % of games with Over 3.5, 4.5, 5.5, 6.5 cards.
Split by Full-Time, 1st Half, 2nd Half.
โ ๏ธ Betting use:
Ideal for Over/Under Cards markets.
If both teams average high cards โ Over 4.5/5.5 is realistic.
If one team is very disciplined โ Under markets safer.
Useful for โWhich team will get more cards?โ props.
Combine with referee stats (if available) โ referees with high booking rates boost card totals.
๐ In short: Use this to judge if a matchup is a low-discipline game (few cards) or a heated battle (many cards).
๐ This section shows how often matches go over key corner lines (7.5, 8.5, 9.5, etc.).
โ What it shows:
Historical hit rates for each line (season, last 3/5/10 matches).
Team-by-team breakdown โ who drives the corner count.
Full-Time, 1st Half, 2nd Half options.
โ ๏ธ Betting use:
Perfect for Over/Under Corners strategies.
If both teams consistently go Over 9.5+ โ high corner expectation.
If historical volume trends stay low โ safer to expect Under.
Combine with Corner Generation Rate โ confirms consistency.
๐ In short: This tells you if the matchup is a low-line (7.5โ8.5 corners) game or a high-line (10.5โ12.5+ corners) game.
๐ Model shows expected corner count based on both teamsโ performances.
โ What it shows:
Total Corners (FT, 1H, 2H) โ projected combined corners.
Team Corners โ average corners earned by each side.
Over/Under lines (3.5, 4.5, etc.) with hit % trends.
Filters for last 3, 5, 10 matches โ recent form vs. season average.
โ ๏ธ Betting use:
Useful for Over/Under Corners markets.
Compare Full-Time vs. 1st Half โ helps spot early corner-heavy teams.
If one team attacks wide โ expect higher corner generation.
Combine with Attacking Strength & Defensive Gaps (teams under pressure = more corners).
๐ In short: Corners = hidden value market.
This tool shows whether to expect a corner-heavy or corner-light game.
๐ Advanced model showing the chance of goals in each half for both teams.
โ What it shows:
BTTS (1st / 2nd Half) โ if both teams usually score in that half.
Over/Under (0.5, 1.5, 2.5) โ probability of total goals in each half.
BTTS Both Halves โ rare stat, if both teams score in both halves.
โ ๏ธ 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:
๐ This panel = which half is more likely to deliver goals.
Helps with 1st half / 2nd half totals, BTTS by half, and live betting.
๐ Compares how many goals each team concedes (Hertha at home vs Paderborn away).
โ What it shows:
Conceded per Match (bars) โ average goals allowed.
Over 0.5 / 1.5 / 2.5 % โ how often they concede 1+, 2+, etc.
Failed to Concede % โ how often they keep a clean sheet.
โ ๏ธ Analysis use:
High concede % = weak defense โ stronger chance of opponent scoring.
Low concede % = solid defense โ harder for opponent to score.
Combine with Attacking Strength to see if offense vs defense creates a clear mismatch.
In short:
๐ 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.
๐ Advanced model that gives a percentage chance of:
Team A scoring โฝ
Team B scoring โฝ
Both Teams to Score (BTTS) โ
โ Why itโs 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 โ very handy for both teams to score markets.
โ ๏ธ Analysis use:
High % = stronger likelihood โ can be used for Team Goals or BTTS bets.
Low % = risky โ avoid overs/BTTS when scoring chance is weak.
Works best when combined with form & matchup stats (donโt rely on it alone).
In short:
๐ This panel = quick powered scoring probability.
Itโs a shortcut that translates complex stats into yes/no scoring chances you can act on.
๐ Compares goals scored at home (Hertha Berlin) vs away (Paderborn).
โ What it shows:
Avg Goals (bars) โ how many goals each side scores in that setting.
Over 0.5 / 1.5 / 2.5 % โ how often they hit scoring milestones.
Failed to Score % โ danger sign, how often a team blanks.
โ ๏ธ Betting use:
If one side has a much higher scoring rate โ 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:
๐ This panel = which team is more dangerous in attack.
Use it to judge:
BTTS โ / โ
Team Totals (Over/Under 0.5, 1.5 goals)
Match goal expectations.
๐ Quick summary of goals & scoring trends compared to league average.
โ 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.
โ ๏ธ Betting use:
If % is much lower than league average โ game leans to unders/low scoring.
If % is much higher than league average โ 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:
๐ This panel = quick over/under & BTTS guide.
Great for building totals & both-teams-to-score decisions without deep analysis.
๐ Shows in which 15-minute intervals teams are most likely to score.
โ Why itโs useful:
Highlights โhot periodsโ when teams often find the net (e.g., Hertha 75โโ90โ = 50%).
Compare both teams โ 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).
โ ๏ธ Betting use:
If both teams have high % in the same window โ strong chance of late or early goals.
If % is very low โ that period is usually quiet (good for unders or no-goal markets).
In short:
๐ This chart = when goals usually come.
Use it for live timing bets and to predict whether the 1st half / 2nd half has more action.