Radomiak Radom vs Slask Wroclaw prediction

Ekstraklasa
Radomiak RadomRadomiak RadomLLLLL
Mon, 2 Nov 20262/1117:00UK
Slask WroclawSlask WroclawLLLLW
48.5%Home winFair odds 2.06
24.7%DrawFair odds 4.05
26.8%Away winFair odds 3.73
Most likely published score1-111.5%Fair odds 8.70

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined80.4%
Radomiak Radom or draw73.2%
Under 3.5 goalsBoth teams combined65.1%

Early prediction · Model generated · Bookmaker odds pending.

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

Radomiak Radom
Match winner (1X2)48.5%
Fair odds2.06
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel80.4%
Fair oddsFair1.24
Double chance marketRadomiak Radom or draw
Model estimateModel73.2%
Fair oddsFair1.37
Both teams to scoreBoth teams to score
Model estimateModel59.2%
Fair oddsFair1.69

Model read

Radomiak Radom lead the result estimates at 48.5%. The match still has meaningful room for a draw or an opponent win. Both teams to score stands out aRead full analysisShow less

Radomiak Radom lead the result estimates at 48.5%. The match still has meaningful room for a draw or an opponent win. Both teams to score stands out at 59.2%. The estimate leans this way, with substantial uncertainty remaining. Without a complete matching price comparison, this is an event read rather than a verified price opportunity.

Both teams to score

Model estimate
59.2%
Fair odds
1.69

Over 2.5 goals

Model estimate
57.3%
Fair odds
1.74

Context & limits

  • Radomiak Radom: 0 wins, 0 draws and 5 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Slask Wroclaw: 1 wins, 0 draws and 4 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 1.8 goals. This is a historical sample, not a forecast for this fixture.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

A measured edge to Radomiak Radom: 48% is the model's line for this Ekstraklasa meeting on 2 November 2026. Three things stand out in the data: 1) No strong lean on goals (57% Over 2.5). The interest, if any, lives elsewhere. 2) Slask Wroclaw are newly promoted, a profile the model deliberately prices with caution. 3) Form guide over the last six: Radomiak Radom W0 D1 L5, Slask Wroclaw W1 D0 L5. The recent series reads 2 wins for Radomiak Radom, 1 draws and 2 for Slask Wroclaw over 5 games, 1.8 goals on average. Verdict: no bet. No bookmaker price published for this match yet.

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.

Radomiak RadomRadomiakLast 5
L
Loss · 0-2
L
Loss · 1-5
L
Loss · 2-3
L
Loss · 0-1
L
Loss · 3-4

0 wins · 0 draws · 5 losses

Slask WroclawSlask WroclawLast 5
L
Loss · 1-2
L
Loss · 1-2
L
Loss · 1-4
L
Loss · 2-3
W
Win · 2-0

1 win · 0 draws · 4 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

2Radomiak RadomRadomiak wins
1Draws
2Slask WroclawSlask Wroclaw wins
1.8Average goals
Date
Home team
Score
Away team
Radomiak RadomRadomiak
1 – 1
Slask WroclawSlask Wroclaw
Slask WroclawSlask Wroclaw
1 – 2
Radomiak RadomRadomiak
Slask WroclawSlask Wroclaw
2 – 0
Radomiak RadomRadomiak
Radomiak RadomRadomiak
0 – 1
Slask WroclawSlask Wroclaw
Slask WroclawSlask Wroclaw
0 – 1
Radomiak RadomRadomiak

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 probabilities

Model estimates and recorded bookmaker probabilities.

1X2

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 48.5%
Radomiak Radom

Model minus market: —
Market probability: —
Model probability: 24.7%
Draw

Model minus market: —
Market probability: —
Model probability: 26.8%
Slask Wroclaw

Model minus market: —
Market probability: —

Goals

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 94.4%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 5.6%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 80.4%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 19.6%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 57.3%
Over 2.5 goals

Model minus market: —
Market probability: —
Model probability: 42.7%
Under 2.5 goals

Model minus market: —
Market probability: —
Model probability: 34.9%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 65.1%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 18.2%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 81.8%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 8.2%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 91.8%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 59.2%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 40.8%
Both teams to score · No

Model minus market: —
Market probability: —

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

Market comparison awaits bookmaker odds

Comparable bookmaker odds are not available for these outcomes yet.

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

Radomiak Radom win2.06
Draw4.05
Slask Wroclaw win3.73
Both teams to score1.69

Goals

Over 0.5 goals1.06
Over 1.5 goals1.24
Over 2.5 goals1.74
Over 3.5 goals2.86
Radomiak Radom most2.06
Slask Wroclaw most3.73

Totals line guide

Both teams combined.

Over 0.594.4%Over 1.580.4%Over 2.557.3%Over 3.534.9%Over 4.518.2%Over 5.58.2%
Recommended focusOver 1.580.4%

Discipline: Our price. No bookmaker price published for this match yet.

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 80.4%
Fair odds Fair 1.24
Over 2.52.5 goals, Medium risk
Model probability 57.3%
Fair odds Fair 1.74
Over 3.53.5 goals, High risk
Model probability 34.9%
Fair odds Fair 2.86
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-05.6%Fair odds 17.83 1-08.3%Fair odds 12.11 2-07.7%Fair odds 13.05 3-04.4%Fair odds 22.52 4-01.9%Fair odds 51.81 5-00.7%Fair odds 149.25
Away goals 1 0-15.8%Fair odds 17.39 1-111.5%Fair odds 8.70 2-19.5%Fair odds 10.49 3-15.5%Fair odds 18.08 4-12.4%Fair odds 41.67 5-10.8%Fair odds 119.05
Away goals 2 0-23.9%Fair odds 25.58 1-26.8%Fair odds 14.68 2-25.9%Fair odds 16.89 3-23.4%Fair odds 29.07 4-21.5%Fair odds 67.11 5-20.5%Fair odds 192.31
Away goals 3 0-31.6%Fair odds 61.73 1-32.8%Fair odds 35.46 2-32.5%Fair odds 40.65 3-31.4%Fair odds 70.42 4-30.6%Fair odds 161.29 5-30.2%Fair odds 454.55
Away goals 4 0-40.5%Fair odds 200.00 1-40.9%Fair odds 113.64 2-40.8%Fair odds 131.58 3-40.4%Fair odds 227.27 4-40.2%Fair odds 526.32 5-40.1%Fair odds 1,428.57
Away goals 5 0-50.1%Fair odds 769.23 1-50.2%Fair odds 454.55 2-50.2%Fair odds 526.32 3-50.1%Fair odds 909.09 4-50.1%Fair odds 2,000.00 5-50.0%Fair odds 5,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability11.5%
Fair odds8.70
2-1
Model probability9.5%
Fair odds10.49
1-0
Model probability8.3%
Fair odds12.11

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 confirmed

No referee assignment is confirmed in our data yet. We never guess one from past matches.

Season stats

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

Radomiak RadomRadomiak Radom
Slask WroclawSlask Wroclaw

Overview

Statistic
Radomiak Radom
Slask Wroclaw
League position
#17 of 18
#15 of 18
Matches played
12
12
Record W-D-L
2-2-8
2-3-7
Recent form
LLLLL
Last 5 matches
LLLLW
Last 5 matches
Current streak
L5
W1
Points per game
0.67
0.75
Record, home vs away
2-1-3
0-1-5
PPG, home vs away
1.17
0.17

PPG scale: 0–3 points per game. Each team uses the same scale independently.

Show all season statsHide season stats

Goals

Statistic
Radomiak Radom
Slask Wroclaw
Goals scored per game
1.00
1.33
Goals conceded per game
2.33
1.83
Scored, home vs away
1.17
1.17
Conceded, home vs away
1.67
2.00
1st half goals per game
0.50
0.50
2nd half goals per game
0.50
0.83

Scale: 0–3 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
Radomiak Radom
Slask Wroclaw
Shots per game
14.2
11.3
Shots faced per game
16.2
17.3
Shots on target per game
3.8
3.7
1st half shots per game
6.9
4.7
2nd half shots per game
7.3
6.6

Scale: 0–20 shots per game. Each team uses the same scale independently.

Corners & discipline

Statistic
Radomiak Radom
Slask Wroclaw
Corners won per game
6.0
3.9
Fouls per game
12.5
12.4

0–10 corners per game; 0–20 fouls per game Each team uses the same scale independently.

Goal rates

Statistic
Radomiak Radom
Slask Wroclaw
Over 2.5 rate
66.7%
75.0%
BTTS rate
58.3%
83.3%
Clean sheets
16.7%
16.7%

Scale: 0–100% of recorded matches, not model estimates. Each team uses the same scale independently.

League averages this season: 2.96 goals per match · Over 2.5 in 59.4% · BTTS in 65.1%. 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.

Radomiak RadomRadomiak Radom
Radomiak Radom: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.50 0.50 12
Goals concededConceded 1.08 1.25 12
Shots 6.9 7.3 12
Shots facedOpp. shots 7.8 8.4 12
Shots on targetOn target 2.0 1.8 12
Shots on target facedOpp. on target 2.5 2.8 12
Corners wonCorners 2.5 3.5 12
Corners concededOpp. corners 2.8 2.3 12
Yellow cardsYellows 0.8 1.0 12
Opponent yellow cardsOpp. yellows 0.9 2.0 12
Slask WroclawSlask Wroclaw
Slask Wroclaw: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.50 0.83 12
Goals concededConceded 0.58 1.25 12
Shots 4.7 6.6 12
Shots facedOpp. shots 9.3 7.9 12
Shots on targetOn target 1.4 2.3 12
Shots on target facedOpp. on target 2.2 3.2 12
Corners wonCorners 1.8 2.2 12
Corners concededOpp. corners 3.3 2.3 12
Yellow cardsYellows 0.3 1.5 12
Opponent yellow cardsOpp. yellows 0.8 1.2 12
All model outcomes · full market spectrum & player markets

Shots

Shots on target

Cards

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.

Radomiak Radom clean sheet 28.6%
Slask Wroclaw clean sheet 17.5%
Radomiak Radom win to nil 23.0%
Slask Wroclaw win to nil 11.9%

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 48.5% draw 24.7% away 26.8%
double_chance
1X 73.2% 12 75.3% X2 51.5%
dnb
home 64.4% away 35.6%
btts
yes 59.2% no 40.8%
clean_sheet
home 28.8% away 17.5%
win_to_nil
home 23.2% away 11.9%
winning_margin
home_by_1 21.9% home_by_2 14.9% home_by_3plus 11.7%
away_by_1 15.5% away_by_2 7.6% away_by_3plus 3.7%
correct_score
0-0 5.6% 0-1 5.8% 0-2 3.9%
0-3 1.6% 0-4 0.5% 0-5 0.1%
1-0 8.3% 1-1 11.5% 1-2 6.8%
1-3 2.8% 1-4 0.9% 1-5 0.2%
2-0 7.7% 2-1 9.5% 2-2 5.9%
2-3 2.5% 2-4 0.8% 2-5 0.2%
3-0 4.4% 3-1 5.5% 3-2 3.4%
3-3 1.4% 3-4 0.4% 3-5 0.1%
4-0 1.9% 4-1 2.4% 4-2 1.5%
4-3 0.6% 4-4 0.2% 4-5 0.1%
5-0 0.7% 5-1 0.8% 5-2 0.5%
5-3 0.2% 5-4 0.1% 5-5 0.0%
other 1.1%
likeliest_score
h 100.0% a 100.0% p 11.5%
Goals: totals / handicap / exact calibrated
total
over_0.5 94.4% under_0.5 5.6% over_1.5 80.4%
under_1.5 19.6% over_2.5 57.3% under_2.5 42.7%
over_3.5 34.9% under_3.5 65.1% over_4.5 18.2%
under_4.5 81.8% over_5.5 8.2% under_5.5 91.8%
odd_even
odd 48.8% even 51.2%
team_home
over_0.5 82.5% under_0.5 17.5% over_1.5 51.9%
under_1.5 48.1% over_2.5 25.3% under_2.5 74.7%
team_away
over_0.5 71.2% under_0.5 28.8% over_1.5 35.3%
under_1.5 64.7% over_2.5 13.0% under_2.5 87.0%
most
home 48.5% draw 24.7% away 26.8%
handicap
home_-2.5 11.7% away_+2.5 88.3% home_-1.5 26.6%
away_+1.5 73.4% home_-0.5 48.5% away_+0.5 51.5%
home_+0.5 73.2% away_-0.5 26.8% home_+1.5 88.7%
away_-1.5 11.3% home_+2.5 96.3% away_-2.5 3.7%
total_exact
exact_0 5.6% exact_1 14.0% exact_2 23.1%
exact_3 22.4% exact_4 16.7% exact_5 10.0%
exact_6 5.0% exact_7plus 3.3%
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.

Explore this match