Union Berlin 1-0 Elversberg: result, xG and our prediction

Bundesliga
Union BerlinUnion BerlinWDLLL
Full time1-0Sat, 10 Oct 202610/1014:30UK16°C · Cloudy
ElversbergElversbergWWLD
50.0%Home winFair odds 2.00
23.3%DrawFair odds 4.29
26.7%Away winFair odds 3.75
Pre-match: Most likely published score1-110.8%Fair odds 9.29

Pre-match model estimates · MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined83.1%
Over 7.5 cornersBoth teams combined75.4%
Union Berlin or draw73.3%

Post-match analysis

Judged against the prediction this page published before kickoff. Right or wrong, it stays on the record.

A call is the side our published probability favoured. If we leaned towards under and three goals went in, that counts as a miss.

The half-by-half shots come from a different source than the match shot total, and we only use them when the shots before the break add up to the actual half-time score. That is why the two numbers can differ slightly.

Union BerlinUnion Berlin
1-0FT
ElversbergElversberg

Match data

Match data: Union Berlin and Elversberg
Union BerlinUnion Berlin Statistic ElversbergElversberg
1 Goals 0
0 Goals, 1st half 0
1 Goals, 2nd half 0
19 Shots 7
5 Shots, 1st half 1
14 Shots, 2nd half 6
6 Shots on target 2
7 Corners 3
2 Yellow cards 1
0 Red cards 0
14 Fouls 9
1.24 Expected goals (xG) 0.28

The result, on the record

Recorded tally 7 of 12 published calls on this match were right.

Published calls · recorded grading

# Market Our pick Our chance Recorded grade
1 Match result Pick: Union Berlin Chance: 50.0% Correct
2 Total goals 2.5 Pick: Over 2.5 Chance: 61.5% Wrong1 goals
3 Total goals 1.5 Pick: Over 1.5 Chance: 83.1% Wrong1 goals
4 Total goals 3.5 Pick: Under 3.5 Chance: 60.8% Correct1 goals
5 Both teams to score Pick: Yes Chance: 62.4% Wrong
6 First-half goal Pick: Yes Chance: 75.0% Wrong
# Market Our pick Our chance Recorded grade
7 Second-half goal Pick: Yes Chance: 86.6% Correct
8 Total corners 9.5 Pick: Over 9.5 Chance: 52.3% Correct10 corners
9 Yellow cards 3.5 Pick: Over 3.5 Chance: 52.2% Wrong3 yellow cards
10 Total shots 24.5 Pick: Over 24.5 Chance: 61.7% Correct26 shots
11 Shots on target 7.5 Pick: Over 7.5 Chance: 71.5% Correct8 shots on target
12 Red card Pick: No Chance: 91.8% Correct

Our verdict

Road2Sushi's own call on this match: the likeliest result, how confident the model is, its strongest signals and the reasons behind them.

Every percentage is a model estimate and every fair price is 1 divided by that estimate. Neither is a bookmaker offer, and a model call is not a proven edge over the market.

Model pick

Union Berlin
Match winner (1X2)50.0%
Fair odds2.00
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel83.1%
Fair oddsFair1.20
Corners marketOver 7.5 corners
Model estimateModel75.4%
Fair oddsFair1.33
Double chance marketUnion Berlin or draw
Model estimateModel73.3%
Fair oddsFair1.36

Model read

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. Union Berlin lead the result esRead full analysisShow less

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. Union Berlin lead the result estimates at 50.0%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stands out at 71.5%. It is a stronger probability signal than the other eligible reads shown here. Without a complete matching price comparison, this is an event read rather than a verified price opportunity. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Over 7.5 shots on target · both teams

Model estimate
71.5%
Fair odds
1.40

Both teams to score

Model estimate
62.4%
Fair odds
1.60

Over 24.5 shots · both teams

Model estimate
61.7%
Fair odds
1.62

Context & limits

  • Union Berlin: 1 wins, 1 draws and 3 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Elversberg: 2 wins, 1 draws and 1 losses in the last 4 recorded matches. Recent form is context, not an extra win probability.
  • Player watch: Tim Skarke (Union Berlin) records 0.99 shots on target per 90 minutes over 1629 recorded minutes. This is a recent-form rate, not a guaranteed starting place or a price advantage.
  • Some displayed estimates have limited validation. Read those percentages as a range, not a precise prediction.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

A measured edge to Union Berlin: 50% is the model's line for this Bundesliga meeting on 10 October 2026. The numbers that frame it: • Notably, the model is warmer on Union Berlin than the market (41%). We flag disagreement rather than hide it. • The goals profile is lively: Over 2.5 sits at 62% with both teams to score at 62%. • Recent form reads W2 D1 L3 for Union Berlin against W2 D1 L1 for Elversberg. • For shots markets, Tim Skarke is the obvious watch at 1.0 on target per 90 in recent data. Elversberg are newly promoted, a profile the model deliberately prices with caution. Discipline says sit it out: trust gate: NO_TRUST (segment historically unreliable).

Form & head-to-head

Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.

Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.

Union BerlinUnion BerlinLast 5
W
Win · 4-0
D
Draw · 3-3
L
Loss · 0-4
L
Loss · 1-3
L
Loss · 0-7

1 win · 1 draw · 3 losses

ElversbergElversbergLast 4
W
Win · 3-2
W
Win · 4-3
L
Loss · 1-2
D
Draw · 0-0

2 wins · 1 draw · 1 loss

W Win
D Draw
L Loss

Head-to-head

No recorded head-to-head results available.

Odds: model vs bookmaker

Every price for this match in one place: the model's probabilities next to the bookmaker's, the bookmaker's prices with our gap, and the model's own fair odds for each market.

Bookmaker probabilities are de-vigged (the margin is removed) and come from one bookmaker. A gap between the model and that bookmaker is a disagreement, not a proven edge. Fair odds are 1 divided by the model probability, not a bookmaker quote.

Model vs market

Pre-match estimates, recorded before the match.

1X2: Bet365 prices, with the bookmaker margin taken out.

A market probability is the bookmaker's own price with its margin taken out, so the outcomes of each line add up to 100%. A gap from our model is a disagreement, not a proven edge: when we tested 1X2 and goal totals on matches the model had never seen, the bookmaker's closing price was more accurate. For corners, cards and shots we have no such test.

Every market price shown was recorded before kick-off.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 50.0%
Union Berlin

Model minus market: +8.6 pp
Market probability: 41.4%
Model probability: 23.3%
Draw

Model minus market: -2.7 pp
Market probability: 26.0%
Model probability: 26.7%
Elversberg

Model minus market: -5.9 pp
Market probability: 32.6%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 95.3%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 4.7%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 83.1%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 17.0%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 61.5%
Over 2.5 goals

Model minus market: -1.2 pp
Market probability: 62.7%
Model probability: 38.5%
Under 2.5 goals

Model minus market: +1.2 pp
Market probability: 37.3%
Model probability: 39.2%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 60.8%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 21.5%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 78.5%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 10.3%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 89.7%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 62.4%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 37.6%
Both teams to score · No

Model minus market: —
Market probability: —

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 72.8%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 27.2%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 52.2%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 47.8%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 32.8%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 67.2%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 18.1%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 81.9%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 75.4%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 24.6%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 64.3%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 35.7%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 52.3%
Over 9.5 corners

Model minus market: —
Market probability: —
Model probability: 47.7%
Under 9.5 corners

Model minus market: —
Market probability: —
Model probability: 40.5%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 59.5%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 29.9%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 70.1%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 21.1%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 78.9%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 72.9%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 27.1%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 61.7%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 38.4%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 49.6%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 50.4%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 37.9%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 62.2%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 81.4%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 18.6%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 71.5%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 28.5%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 60.2%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 39.8%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 48.5%
Over 9.5 shots on target

Model minus market: —
Market probability: —
Model probability: 51.5%
Under 9.5 shots on target

Model minus market: —
Market probability: —

Bookmaker odds

Real bookmaker price (Bet365) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

Gap is our probability minus the probability the bookmaker price implies (1 divided by the price), in percentage points. Because the price includes the margin, most gaps are negative. Model highlights are outcomes where our probability is at least 15 points higher. A gap is a disagreement, not a proven edge.

After full time these are the stored pre-match prices, kept for the record. They are not current prices, so no outcome is highlighted.

Match result · 1X2

Union Berlin winBookmaker2.30Model fair2.00Model minus bookmaker probability, percentage points: +6.5 pp
DrawBookmaker3.60Model fair4.29Model minus bookmaker probability, percentage points: -4.4 pp
Elversberg winBookmaker2.90Model fair3.75Model minus bookmaker probability, percentage points: -7.7 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.53Model fair1.63Model minus bookmaker probability, percentage points: -3.8 pp
Under 2.5 goalsBookmaker2.50Model fair2.60Model minus bookmaker probability, percentage points: -1.4 pp

Model fair odds

Our published model probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote. Only the supported 1X2 calibration pool is calibrated; other markets retain their model estimates.

Match result

Union Berlin win2.00
Draw4.29
Elversberg win3.75
Both teams to score1.60

Goals

Over 1.5 goals1.20
Over 2.5 goals1.63
Over 3.5 goals2.55
Over 4.5 goals4.65
Union Berlin most2.05
Elversberg most3.64

Corners

Over 7.5 corners1.33
Over 8.5 corners1.56
Over 9.5 corners1.91
Over 10.5 corners2.47
Union Berlin most1.73
Elversberg most3.13

Cards

Over 2.5 cards1.37
Over 3.5 cards1.91
Over 4.5 cards3.05
Over 5.5 cards5.52
Union Berlin most2.67
Elversberg most2.42

Shots on target

Over 6.5 SoT1.23
Over 7.5 SoT1.40
Over 8.5 SoT1.66
Over 9.5 SoT2.06
Union Berlin most1.79
Elversberg most3.05

Shots

Over 22.5 shots1.37
Over 24.5 shots1.62
Over 26.5 shots2.02
Over 28.5 shots2.64
Union Berlin most1.59
Elversberg most3.17

Fouls

Over 20.5 fouls1.87
Over 22.5 fouls2.42
Over 24.5 fouls3.29

Corners

Both teams combined.

Over 7.5 corners75.4%1.33Very likely
Over 8.5 corners64.3%1.56Likely
Over 9.5 corners52.3%1.91Close call
Over 10.5 corners40.5%2.47Unlikely
Over 11.5 corners29.9%3.34Long shot
Over 12.5 corners21.1%4.75Long shot
Read context

Both teams combined

Over 7.5 corners · Very likely

Over 8.5 corners · Likely

Over 9.5 corners · Close call

Over 10.5 corners · Unlikely

Over 11.5 corners · Long shot

Over 12.5 corners · Long shot

Most corners

Each team has its own model probability; these outcomes are not renormalised.

Union Berlin

Model probability

57.7%Fair odds 1.73

Elversberg

Model probability

31.9%Fair odds 3.13

Read context

Each team has its own model probability; these outcomes are not renormalised.

Union Berlin

Elversberg

Shots

Both teams combined.

Over 22.5 shots72.9%1.37Likely
Over 24.5 shots61.7%1.62Likely
Over 26.5 shots49.6%2.02Close call
Over 28.5 shots37.9%2.64Unlikely
Over 6.5 on target81.4%1.23Very likely
Over 7.5 on target71.5%1.40Likely
Over 8.5 on target60.2%1.66Likely
Over 9.5 on target48.5%2.06Close call
Read context

Both teams combined

Over 22.5 shots · Likely

Over 24.5 shots · Likely

Over 26.5 shots · Close call

Over 28.5 shots · Unlikely

Over 6.5 on target · Very likely

Over 7.5 on target · Likely

Over 8.5 on target · Likely

Over 9.5 on target · Close call

Recorded shots per game

Shots per game over each side's most recent league matches with shot data, and over the most recent matches at the venue of this match: Union Berlin at home and Elversberg away. These are recorded results, not predictions, and a missing value is never shown as zero.

Recorded shots per game over recent league matches
Last 6 matches Shots Faced On target
Union Berlin 13.3 16.7 ·

Totals line guide

Both teams combined.

Over 0.595.3%Over 1.583.1%Over 2.561.5%Over 3.539.2%Over 4.521.5%Over 5.510.3%
Our stored model focusOver 2.561.5%

The stored model call was Fairly priced. The match has been played, so this is a historical snapshot: the graded result is below.

Read context

Both teams combined. Each bar uses the stored model estimate for that exact total-goals line. Missing estimates are unavailable; they are not zero.

Fair odds are the model’s own probability price, not a published bookmaker offer.

Market explorer

Model probabilities and fair odds.

Each bar is a specific Over selection for both teams combined. Its height is the model probability, on the same 0–100% scale.

Risk describes estimated likelihood, not profitability: low risk at least 62%, medium 48% to under 62%, high below 48%. Colors follow the actual estimate, even when a risk band is missing.

Up to four markets are selected from available model data, prioritising a spread of risk profiles. Fair odds are calculated from the model, not bookmaker prices: 1 divided by probability.

Scores are exact home-away outcomes from zero to five goals per team. Unavailable estimates stay blank; partial inputs are not expanded, inferred or normalised. Scores outside the matrix remain eligible for the top three.

Low riskMedium riskHigh risk

Goals

Over 1.51.5 goals, Low risk
Model probability 83.1%
Fair odds Fair 1.20
Over 2.52.5 goals, Medium risk
Model probability 61.5%
Fair odds Fair 1.63
Over 3.53.5 goals, High risk
Model probability 39.2%
Fair odds Fair 2.55

Cards

Over 2.52.5 cards, Low risk
Model probability 72.8%
Fair odds Fair 1.37
Over 3.53.5 cards, Medium risk
Model probability 52.2%
Fair odds Fair 1.91
Over 4.54.5 cards, High risk
Model probability 32.8%
Fair odds Fair 3.05

Corners

Over 7.57.5 corners, Low risk
Model probability 75.4%
Fair odds Fair 1.33
Over 9.59.5 corners, Medium risk
Model probability 52.3%
Fair odds Fair 1.91
Over 11.511.5 corners, High risk
Model probability 29.9%
Fair odds Fair 3.34

Shots

Over 22.522.5 shots, Low risk
Model probability 72.9%
Fair odds Fair 1.37
Over 26.526.5 shots, Medium risk
Model probability 49.6%
Fair odds Fair 2.02
Over 28.528.5 shots, High risk
Model probability 37.9%
Fair odds Fair 2.64
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-04.7%Fair odds 21.28 1-07.2%Fair odds 13.93 2-07.1%Fair odds 14.14 3-04.3%Fair odds 23.04 4-02.0%Fair odds 50.00 5-00.7%Fair odds 136.99
Away goals 1 0-15.1%Fair odds 19.72 1-110.8%Fair odds 9.29 2-19.4%Fair odds 10.62 3-15.8%Fair odds 17.33 4-12.7%Fair odds 37.74 5-11.0%Fair odds 102.04
Away goals 2 0-23.7%Fair odds 26.74 1-26.9%Fair odds 14.58 2-26.3%Fair odds 15.90 3-23.9%Fair odds 25.97 4-21.8%Fair odds 56.50 5-20.7%Fair odds 153.85
Away goals 3 0-31.7%Fair odds 59.88 1-33.1%Fair odds 32.57 2-32.8%Fair odds 35.59 3-31.7%Fair odds 58.14 4-30.8%Fair odds 126.58 5-30.3%Fair odds 344.83
Away goals 4 0-40.6%Fair odds 178.57 1-41.0%Fair odds 97.09 2-40.9%Fair odds 106.38 3-40.6%Fair odds 172.41 4-40.3%Fair odds 384.62 5-40.1%Fair odds 1,000.00
Away goals 5 0-50.2%Fair odds 666.67 1-50.3%Fair odds 357.14 2-50.3%Fair odds 400.00 3-50.2%Fair odds 625.00 4-50.1%Fair odds 1,428.57 5-50.0%Fair odds 3,333.33

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability10.8%
Fair odds9.29
2-1
Model probability9.4%
Fair odds10.62
1-0
Model probability7.2%
Fair odds13.93

Referee

One match referee is shown from an explicitly saved result or a fresh, identity-matched provider fixture. Previous referees are never used to guess an appointment. An API listing can change.

The referee’s totals count every completed match with this referee in our data: football-data.co.uk names the referee in English leagues, and API-Football names the referee of the same match (same teams, date and score) in every league from 2025/26. A rate needs at least 5 matches with that figure.

The team table shows each team’s published history with that same referee only. Matches, team cards per game and match cards per game are separate fields; their available samples can differ. Missing values are not zero. Cards include yellow and red cards in the current historical source.

Referee not recorded

No verified match referee is available in the saved data.

Season stats

2026/27 season. Recorded results, not model estimates.

Union BerlinUnion Berlin
ElversbergElversberg

Overview

Statistic
Union Berlin
Elversberg
League position
#17 of 18
#8 of 18
Matches played
4
4
Record W-D-L
0-1-3
2-1-1
Recent form
WDLLL
Last 5 matches
WWLD
Last 4 matches
Current streak
L3
D1
Record, home vs away
0-1-1
1-1-0
Show all season statsHide season stats

Corners & discipline

Statistic
Union Berlin
Elversberg
Red cards this season
0
0

League averages this season: 3.81 goals per match · Over 2.5 in 78.4% · BTTS in 59.5%. Full league tables & stats →

First half / second half

Averages per game in this season’s league matches, split at half-time. Games is the number of each team’s matches with verified half data for that row; below five matches the row stays blank, and a missing value is never a zero.

Corners, shots on target and yellow cards per half come from the data provider’s half-by-half match statistics and are only used when the two halves add up to the full-time count. Cards are split by the minute they were shown, and first-half stoppage time counts as the first half. These are recorded results, not predictions.

In the Premier League, La Liga, Bundesliga, Serie A and Ligue 1 the shots per half come from a different source than the match shot totals, so the two can differ slightly.

This match

This match by half: Union Berlin and Elversberg
Union Berlin Elversberg
Statistic 1H 2H 1H 2H
Goals 0 1 0 0
Shots 5 14 1 6
Union BerlinUnion Berlin

Not enough verified half data for this team yet.

ElversbergElversberg

Not enough verified half data for this team yet.

Players to watch

Published player-market probabilities, shown in kickoff order. Model estimates, not confirmed lineups.

How our football predictions work →

A watch list, not a confirmed lineup.

Union BerlinUnion Berlin (3)
Tim Skarke
Watch list
Prediction markets
Model %
Fair odds
Save
To score
5.6%
17.86
1+ shot on target
28.7%
3.48
2+ shots
14.9%
6.71
Per 90 minutes (recent averages)
Shots1.99
On target0.99
Goals0.17
Marin Ljubicic
Watch list
Prediction markets
Model %
Fair odds
Save
To score
15.4%
6.49
1+ shot on target
24.3%
4.12
2+ shots
7.4%
13.51
Per 90 minutes (recent averages)
Shots1.49
On target0.93
Goals0.56
Woo-Yeong Jeong
Watch list
Prediction markets
Model %
Fair odds
Save
To score
11.3%
8.85
1+ shot on target
24.3%
4.12
2+ shots
22.0%
4.55
Per 90 minutes (recent averages)
Shots1.61
On target0.51
Goals0.22
ElversbergElversberg (0)

No player projections for this team yet.

All model outcomes · full market spectrum & player markets

Shots

Over 22.5 72.9% Over 24.5 61.7% Over 26.5 49.6% Over 28.5 37.9%
Most: Union Berlin 62.8% Most: Elversberg 31.6%
Union Berlin Over 10.5 79.6%
Union Berlin Over 12.5 65.3%
Union Berlin Over 14.5 49.4% Elversberg Over 10.5 60.8%
Elversberg Over 12.5 42.9%
Elversberg Over 14.5 27.4%

Shots on target

Over 6.5 81.4% Over 7.5 71.5% Over 8.5 60.2% Over 9.5 48.5%
Most: Union Berlin 55.8% Most: Elversberg 32.8%
Union Berlin Over 3.5 74.3%
Union Berlin Over 4.5 58.9%
Union Berlin Over 5.5 43.4% Elversberg Over 3.5 59.9%
Elversberg Over 4.5 42.3%
Elversberg Over 5.5 27.3%

Cards

Over 2.5 72.8% Over 3.5 52.2% Over 4.5 32.8% Over 5.5 18.1%
Most: Union Berlin 37.4% Most: Elversberg 41.3%
Union Berlin Over 1.5 54.9%
Union Berlin Over 2.5 28.0% Elversberg Over 1.5 57.7%
Elversberg Over 2.5 30.7%

Union Berlin: players to watch (recent-form projection)

Each number is the player’s recent rate per 90 minutes, scaled to how long we expect them to play. Only players in this season’s squad appear. It is a projection from recent form, not a confirmed lineup: nobody has announced the team yet.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Tim Skarke 1.99 0.99 0.17 28.7% 14.9% 5.6%
Marin Ljubicic 1.49 0.93 0.56 24.3% 7.4% 15.4%
Woo-Yeong Jeong 1.61 0.51 0.22 24.3% 22.0% 11.3%
Tom Rothe 1.45 0.51 0.13 28.0% 24.0% 8.0%
Robert Skov 1.47 0.49 0.16 27.1% 24.5% 9.8%

Clean sheet & win to nil

Worked out from the scoreline grid above: a clean sheet is every scoreline where the other side fails to score. It is the model’s own percentage, scored against the result afterwards, and it is not a tip.

Union Berlin clean sheet 26.0%
Elversberg clean sheet 15.9%
Union Berlin win to nil 21.3%
Elversberg win to nil 11.2%

Full market spectrum · model probabilities

The model’s own percentages, with no odds attached. The smaller markets are here so you can see everything we hold a number on, not because we claim an advantage in them. The colour says how close our percentages have landed to reality on matches the model had never seen. This is the raw model spectrum. Its match-result marginal can differ from the published 1X2 above; it does not replace the saved prediction.

Match result & goals calibrated
1×2
home 48.7% draw 23.8% away 27.5%
double_chance
1X 72.5% 12 76.2% X2 51.3%
dnb
home 63.9% away 36.1%
btts
yes 62.5% no 37.6%
clean_sheet
home 26.3% away 15.9%
win_to_nil
home 21.6% away 11.2%
winning_margin
home_by_1 21.3% home_by_2 14.9% home_by_3plus 12.5%
away_by_1 15.4% away_by_2 7.9% away_by_3plus 4.2%
correct_score
0-0 4.7% 0-1 5.1% 0-2 3.7%
0-3 1.7% 0-4 0.6% 0-5 0.2%
1-0 7.2% 1-1 10.8% 1-2 6.9%
1-3 3.1% 1-4 1.0% 1-5 0.3%
2-0 7.1% 2-1 9.4% 2-2 6.3%
2-3 2.8% 2-4 0.9% 2-5 0.3%
3-0 4.3% 3-1 5.8% 3-2 3.9%
3-3 1.7% 3-4 0.6% 3-5 0.2%
4-0 2.0% 4-1 2.7% 4-2 1.8%
4-3 0.8% 4-4 0.3% 4-5 0.1%
5-0 0.7% 5-1 1.0% 5-2 0.7%
5-3 0.3% 5-4 0.1% 5-5 0.0%
other 1.4%
likeliest_score
h 100.0% a 100.0% p 10.8%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.3% under_0.5 4.7% over_1.5 83.1%
under_1.5 17.0% over_2.5 61.5% under_2.5 38.5%
over_3.5 39.2% under_3.5 60.8% over_4.5 21.5%
under_4.5 78.5% over_5.5 10.3% under_5.5 89.7%
odd_even
odd 48.9% even 51.1%
team_home
over_0.5 84.1% under_0.5 15.9% over_1.5 54.8%
under_1.5 45.2% over_2.5 27.9% under_2.5 72.1%
team_away
over_0.5 73.7% under_0.5 26.3% over_1.5 38.6%
under_1.5 61.4% over_2.5 15.2% under_2.5 84.8%
most
home 48.7% draw 23.8% away 27.5%
handicap
home_-2.5 12.5% away_+2.5 87.6% home_-1.5 27.4%
away_+1.5 72.6% home_-0.5 48.7% away_+0.5 51.3%
home_+0.5 72.5% away_-0.5 27.5% home_+1.5 87.9%
away_-1.5 12.1% home_+2.5 95.8% away_-2.5 4.2%
total_exact
exact_0 4.7% exact_1 12.3% exact_2 21.6%
exact_3 22.3% exact_4 17.7% exact_5 11.2%
exact_6 5.9% exact_7plus 4.3%
First half range, not a point
1×2
home 22.8% draw 37.9% away 39.2%
total
over_0.5 75.0% under_0.5 25.0% over_1.5 40.4%
under_1.5 59.6% over_2.5 16.4% under_2.5 83.7%
btts
yes 24.1% no 75.9%
total_exact
exact_0 25.0% exact_1 34.6% exact_2 24.0%
exact_3 11.1% exact_4plus 5.2%
Second half range, not a point
1×2
home 31.6% draw 30.7% away 37.8%
total
over_0.5 86.6% under_0.5 13.4% over_1.5 59.7%
under_1.5 40.3% over_2.5 32.7% under_2.5 67.3%
btts
yes 40.1% no 59.9%
Half-time / full-time range, not a point
H/H 15.6% H/D 4.5% H/A 2.8%
D/H 12.0% D/D 11.6% D/A 14.3%
A/H 3.3% A/D 6.1% A/A 29.8%
Corners range, not a point
total
over_7.5 75.4% under_7.5 24.6% over_8.5 64.3%
under_8.5 35.7% over_9.5 52.3% under_9.5 47.7%
over_10.5 40.5% under_10.5 59.5% over_11.5 29.9%
under_11.5 70.1% over_12.5 21.1% under_12.5 78.9%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 76.8% under_3.5 23.2% over_4.5 62.4%
under_4.5 37.6% over_5.5 47.3% under_5.5 52.8%
team_away
over_3.5 60.1% under_3.5 39.9% over_4.5 42.8%
under_4.5 57.2% over_5.5 28.0% under_5.5 72.0%
most
home 57.7% draw 10.3% away 31.9%
handicap
home_-3.5 26.9% away_+3.5 73.2% home_-1.5 46.9%
away_+1.5 53.1% home_-0.5 57.7% away_+0.5 42.3%
home_+0.5 68.1% away_-0.5 31.9% home_+1.5 77.1%
away_-1.5 22.9% home_+3.5 90.1% away_-3.5 9.9%
Shots range, not a point
total
over_22.5 72.9% under_22.5 27.1% over_24.5 61.7%
under_24.5 38.4% over_26.5 49.6% under_26.5 50.4%
over_28.5 37.9% under_28.5 62.2%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 79.6% under_10.5 20.4% over_12.5 65.3%
under_12.5 34.7% over_14.5 49.4% under_14.5 50.6%
team_away
over_10.5 60.8% under_10.5 39.2% over_12.5 42.9%
under_12.5 57.1% over_14.5 27.4% under_14.5 72.6%
most
home 62.8% draw 5.6% away 31.6%
handicap
home_-4.5 38.8% away_+4.5 61.2% home_-2.5 50.8%
away_+2.5 49.2% home_-0.5 62.8% away_+0.5 37.2%
home_+0.5 68.4% away_-0.5 31.6% home_+2.5 78.4%
away_-2.5 21.6% home_+4.5 86.2% away_-4.5 13.8%
Shots on target range, not a point
total
over_6.5 81.4% under_6.5 18.6% over_7.5 71.5%
under_7.5 28.5% over_8.5 60.2% under_8.5 39.8%
over_9.5 48.5% under_9.5 51.5%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 74.3% under_3.5 25.7% over_4.5 58.9%
under_4.5 41.1% over_5.5 43.4% under_5.5 56.6%
team_away
over_3.5 59.9% under_3.5 40.1% over_4.5 42.3%
under_4.5 57.7% over_5.5 27.3% under_5.5 72.7%
most
home 55.8% draw 11.4% away 32.8%
handicap
home_-2.5 32.8% away_+2.5 67.2% home_-0.5 55.8%
away_+0.5 44.2% home_+0.5 67.3% away_-0.5 32.8%
home_+2.5 85.2% away_-2.5 14.8%
Cards calibrated
total
over_2.5 72.8% under_2.5 27.2% over_3.5 52.2%
under_3.5 47.8% over_4.5 32.8% under_4.5 67.2%
over_5.5 18.1% under_5.5 81.9%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 54.9% under_1.5 45.1% over_2.5 28.0%
under_2.5 72.0%
team_away
over_1.5 57.7% under_1.5 42.3% over_2.5 30.7%
under_2.5 69.4%
most
home 37.4% draw 21.3% away 41.3%
handicap
home_-1.5 19.7% away_+1.5 80.4% home_-0.5 37.4%
away_+0.5 62.6% home_+0.5 58.8% away_-0.5 41.3%
home_+1.5 77.5% away_-1.5 22.6%
Fouls calibrated
total
over_20.5 53.6% under_20.5 46.4% over_22.5 41.4%
under_22.5 58.6% over_24.5 30.4% under_24.5 69.6%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 59.9% under_9.5 40.1% over_11.5 42.7%
under_11.5 57.3% over_13.5 27.9% under_13.5 72.1%
team_away
over_9.5 54.3% under_9.5 45.7% over_11.5 37.0%
under_11.5 63.0% over_13.5 23.1% under_13.5 77.0%
most
home 50.8% draw 6.3% away 42.8%
handicap
home_-3.5 32.4% away_+3.5 67.6% home_-0.5 50.8%
away_+0.5 49.2% home_+2.5 69.2% away_-2.5 30.8%
Red card range, not a point
any
yes 8.2% no 91.8%
home
yes 3.7% no 96.3%
away
yes 4.7% no 95.3%
Method, limits & performance

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.7% (reliability, not edge). Calibration error 0.0106 (56038 matches).

Not financial advice. No model beats the sharp closing market on public data. The value here is honest probabilities, No-bet calls, and CLV history.

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