FC Arges 0-1 UTA Arad: result, our prediction

Liga I
FC ArgesFC ArgesLDLLD
Full time0-1Sat, 24 Oct 202624/1016:00UK
UTA AradUTA AradWLWLW
40.4%Home winFair odds 2.48
31.9%DrawFair odds 3.13
27.7%Away winFair odds 3.61
Pre-match: Most likely published score1-014.6%Fair odds 6.86

Pre-match model estimates · MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Under 3.5 goalsBoth teams combined85.8%
FC Arges or draw72.3%
Under 2.5 goalsBoth teams combined67.9%

Prediction snapshot · Model generated .

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.

FC ArgesFC Arges
0-1FT
UTA AradUTA Arad

Match data

Match data: FC Arges and UTA Arad
FC ArgesFC Arges Statistic UTA AradUTA Arad
0 Goals 1
0 Goals, 1st half 1
0 Goals, 2nd half 0
14 Shots 16
7 Shots, 1st half 7
7 Shots, 2nd half 9
3 Shots on target 5
1 On target, 1st half 1
2 On target, 2nd half 4
9 Corners 4
4 Yellow cards 1
0 Red cards 1
16 Fouls 12

RefereeGabriel Mihuleac

The result, on the record

Recorded tally 3 of 5 published calls on this match were right.

Published calls · recorded grading

# Market Our pick Our chance Recorded grade
1 Match result Pick: FC Arges Chance: 40.4% Wrong
2 Total goals 2.5 Pick: Under 2.5 Chance: 67.9% Correct1 goals
3 Total goals 1.5 Pick: Over 1.5 Chance: 59.9% Wrong1 goals
4 Total goals 3.5 Pick: Under 3.5 Chance: 85.8% Correct1 goals
5 Both teams to score Pick: No Chance: 60.1% 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

FC Arges
Match winner (1X2)40.4%
Fair odds2.48
Save model pickSaved to my bets

Top signals

Goals marketUnder 3.5 goals
Model estimateModel85.8%
Fair oddsFair1.16
Double chance marketFC Arges or draw
Model estimateModel72.3%
Fair oddsFair1.38
Both teams to scoreNot both teams to score
Model estimateModel60.1%
Fair oddsFair1.66

Model read

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. An open result market: FC ArgesRead full analysisShow less

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. An open result market: FC Arges lead at 40.4%, with draw 31.9% and UTA Arad at 27.7%. No result has a majority of the model probability. Under 2.5 goals stands out at 67.9%. 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.

Under 2.5 goals

Model estimate
67.9%
Fair odds
1.47

Not both teams to score

Model estimate
60.1%
Fair odds
1.66

Context & limits

  • FC Arges: 0 wins, 2 draws and 3 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • UTA Arad: 3 wins, 0 draws and 2 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 2.8 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: FC Arges 0.7 and UTA Arad 1.3 goals scored per game. These are team averages, not a forecast of this match total.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

Little between these two in the data. FC Arges at 40% is as close to a call as the model will offer for 24 October 2026. The numbers that frame it: • This shapes as a low scoring affair: Over 2.5 is only 32% with both teams to score at 40%. • Head to head, the last 5 meetings gave 2 wins for FC Arges, 2 draws and 1 for UTA Arad, averaging 2.8 goals a game. • Form guide over the last six: FC Arges W0 D2 L4, UTA Arad W4 D0 L2. The engine passes on this one (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.

FC ArgesFC ArgesLast 5
L
Loss · 0-1
D
Draw · 1-1
L
Loss · 1-3
L
Loss · 0-1
D
Draw · 2-2

0 wins · 2 draws · 3 losses

UTA AradUTA AradLast 5
W
Win · 5-1
L
Loss · 2-4
W
Win · 1-0
L
Loss · 0-2
W
Win · 1-0

3 wins · 0 draws · 2 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

2FC ArgesFC Arges wins
2Draws
1UTA AradUTA Arad wins
2.8Average goals
Date
Home team
Score
Away team
FC ArgesFC Arges
0 – 1
UTA AradUTA Arad
UTA AradUTA Arad
3 – 3
FC ArgesFC Arges
FC ArgesFC Arges
2 – 2
UTA AradUTA Arad
UTA AradUTA Arad
0 – 1
FC ArgesFC Arges
FC ArgesFC Arges
2 – 0
UTA AradUTA Arad

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, Goals and Corners: Bet365 prices via API-Football, observed 24 Oct 2026, 14:26 UTC, 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: 40.4%
FC Arges

Model minus market: +3.4 pp
Market probability: 37.0%
Model probability: 31.9%
Draw

Model minus market: +2.2 pp
Market probability: 29.7%
Model probability: 27.7%
UTA Arad

Model minus market: -5.6 pp
Market probability: 33.3%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 85.7%
Over 0.5 goals

Model minus market: -4.3 pp
Market probability: 90.1%
Model probability: 14.3%
Under 0.5 goals

Model minus market: +4.3 pp
Market probability: 10.0%
Model probability: 59.9%
Over 1.5 goals

Model minus market: -7.7 pp
Market probability: 67.5%
Model probability: 40.1%
Under 1.5 goals

Model minus market: +7.7 pp
Market probability: 32.5%
Model probability: 32.1%
Over 2.5 goals

Model minus market: -8.3 pp
Market probability: 40.5%
Model probability: 67.9%
Under 2.5 goals

Model minus market: +8.4 pp
Market probability: 59.5%
Model probability: 14.2%
Over 3.5 goals

Model minus market: -5.7 pp
Market probability: 19.9%
Model probability: 85.8%
Under 3.5 goals

Model minus market: +5.7 pp
Market probability: 80.1%
Model probability: 5.2%
Over 4.5 goals

Model minus market: -2.6 pp
Market probability: 7.8%
Model probability: 94.8%
Under 4.5 goals

Model minus market: +2.6 pp
Market probability: 92.2%
Model probability: 1.6%
Over 5.5 goals

Model minus market: -1.3 pp
Market probability: 2.9%
Model probability: 98.4%
Under 5.5 goals

Model minus market: +1.3 pp
Market probability: 97.1%
Model probability: 39.9%
Both teams to score · Yes

Model minus market: -8.5 pp
Market probability: 48.4%
Model probability: 60.1%
Both teams to score · No

Model minus market: +8.5 pp
Market probability: 51.6%

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

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

FC Arges win2.48
Draw3.13
UTA Arad win3.61
Both teams to score2.51

Goals

Over 0.5 goals1.17
Over 1.5 goals1.67
Over 2.5 goals3.11
Over 3.5 goals7.06
FC Arges most2.48
UTA Arad most3.61

Totals line guide

Both teams combined.

Over 0.585.7%Over 1.559.9%Over 2.532.1%Over 3.514.2%Over 4.55.2%Over 5.51.6%
Our stored model focusOver 2.532.1%

The stored model call was Our price. 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 0.50.5 goals, Low risk
Model probability 85.7%
Fair odds Fair 1.17
Over 1.51.5 goals, Medium risk
Model probability 59.9%
Fair odds Fair 1.67
Over 2.52.5 goals, High risk
Model probability 32.1%
Fair odds Fair 3.11
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-014.3%Fair odds 7.00 1-014.6%Fair odds 6.86 2-08.5%Fair odds 11.74 3-03.2%Fair odds 31.55 4-00.9%Fair odds 112.36 5-00.2%Fair odds 500.00
Away goals 1 0-111.3%Fair odds 8.88 1-114.0%Fair odds 7.14 2-17.4%Fair odds 13.42 3-12.8%Fair odds 35.97 4-10.8%Fair odds 128.21 5-10.2%Fair odds 588.24
Away goals 2 0-25.2%Fair odds 19.16 1-25.8%Fair odds 17.15 2-23.3%Fair odds 30.67 3-21.2%Fair odds 81.97 4-20.3%Fair odds 294.12 5-20.1%Fair odds 1,250.00
Away goals 3 0-31.5%Fair odds 65.79 1-31.7%Fair odds 58.82 2-31.0%Fair odds 105.26 3-30.4%Fair odds 285.71 4-30.1%Fair odds 1,000.00 5-30.0%Fair odds 5,000.00
Away goals 4 0-40.3%Fair odds 303.03 1-40.4%Fair odds 270.27 2-40.2%Fair odds 476.19 3-40.1%Fair odds 1,250.00 4-40.0%Fair odds 5,000.00 5-40.0%Fair odds ·
Away goals 5 0-50.1%Fair odds 1,666.67 1-50.1%Fair odds 1,428.57 2-50.0%Fair odds 2,500.00 3-50.0%Fair odds 10,000.00 4-50.0%Fair odds · 5-50.0%Fair odds ·

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-0
Model probability14.6%
Fair odds6.86
0-0
Model probability14.3%
Fair odds7.00
1-1
Model probability14.0%
Fair odds7.14

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.

Gabriel Mihuleac

Recorded match referee.

Gabriel Mihuleac in our data
Per match All matches 2026/27
Matches 11 5
Goals 3.00 2.20
Yellow cards 3.36 4.20
Corners 9.7 8.8
Fouls 23.9 25.2
Both teams scored 46% 40%
Over 2.5 goals 64% 40%
Home wins 46% 40%
Latest 10 matches
Date Match Score Goals BTTS Yellow Red Corners Fouls
24 Oct 2026 FC Arges vs UTA Arad 0-1 1 No 5 1 13 28
19 Oct 2026 FC Voluntari vs FCSB 1-2 3 Yes 4 0 6 36
13 Sep 2026 Corvinul vs Univ. Craiova 0-1 1 No 3 Not available 13 16
8 Aug 2026 Farul Constanta vs Csikszereda M. Ciuc 3-2 5 Yes 6 Not available 4 26
26 Jul 2026 Sepsi Sf. Gheorghe vs U. Cluj 1-0 1 No 3 Not available 8 20
11 Apr 2026 FCSB vs Otelul 4-0 4 No 5 Not available 9 25
30 Jan 2026 CFR Cluj vs Metaloglobus Bucharest 4-2 6 Yes 2 Not available 10 16
28 Nov 2025 FC Rapid Bucuresti vs Csikszereda M. Ciuc 4-1 5 Yes 2 Not available 7 33
2 Nov 2025 FC Hermannstadt vs Otelul 1-3 4 Yes 2 1 16 19
26 Oct 2025 Metaloglobus Bucharest vs Univ. Craiova 0-0 0 No 2 Not available 11 17
Team history with this referee
Team
FC Arges Not available Not available Not available
UTA Arad Not available Not available Not available

No matching history for this referee is available for one or both teams.

Season stats

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

FC ArgesFC Arges
UTA AradUTA Arad

Overview

Statistic
FC Arges
UTA Arad
League position
#13 of 16
#10 of 16
Matches played
12
12
Record W-D-L
3-3-6
4-3-5
Recent form
LDLLD
Last 5 matches
WLWLW
Last 5 matches
Current streak
D1
W1
Points per game
1.00
1.25
Record, home vs away
2-2-2
1-0-5
PPG, home vs away
1.33
0.50

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

Show all season statsHide season stats

Goals

Statistic
FC Arges
UTA Arad
Goals scored per game
0.67
1.25
Goals conceded per game
1.08
1.42
Scored, home vs away
0.67
1.00
Conceded, home vs away
0.67
2.33
1st half goals per game
0.30
0.27
2nd half goals per game
0.30
1.00

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

Goal rates

Statistic
FC Arges
UTA Arad
Over 2.5 rate
16.7%
50.0%
BTTS rate
33.3%
41.7%
Clean sheets
25.0%
33.3%

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

League averages this season: 2.65 goals per match · Over 2.5 in 48.0% · BTTS in 46.9%. 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: FC Arges and UTA Arad
FC Arges UTA Arad
Statistic 1H 2H 1H 2H
Goals 0 0 1 0
Shots 7 7 7 9
Shots on target 1 2 1 4
Corners 5 4 1 3
FC ArgesFC Arges
FC Arges: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.30 0.30 10
Goals concededConceded 0.50 0.50 10
UTA AradUTA Arad
UTA Arad: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.27 1.00 11
Goals concededConceded 0.73 0.82 11
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.

FC Arges clean sheet 41.6%
UTA Arad clean sheet 32.7%
FC Arges win to nil 27.4%
UTA Arad win to nil 18.4%

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 40.4% draw 31.9% away 27.7%
double_chance
1X 72.3% 12 68.1% X2 59.6%
dnb
home 59.3% away 40.7%
btts
yes 39.9% no 60.1%
clean_sheet
home 41.7% away 32.7%
win_to_nil
home 27.4% away 18.4%
winning_margin
home_by_1 23.3% home_by_2 11.7% home_by_3plus 5.4%
away_by_1 18.1% away_by_2 7.1% away_by_3plus 2.4%
correct_score
0-0 14.3% 0-1 11.3% 0-2 5.2%
0-3 1.5% 0-4 0.3% 0-5 0.1%
1-0 14.6% 1-1 14.0% 1-2 5.8%
1-3 1.7% 1-4 0.4% 1-5 0.1%
2-0 8.5% 2-1 7.4% 2-2 3.3%
2-3 1.0% 2-4 0.2% 2-5 0.0%
3-0 3.2% 3-1 2.8% 3-2 1.2%
3-3 0.4% 3-4 0.1% 3-5 0.0%
4-0 0.9% 4-1 0.8% 4-2 0.3%
4-3 0.1% 4-4 0.0% 4-5 0.0%
5-0 0.2% 5-1 0.2% 5-2 0.1%
5-3 0.0% 5-4 0.0% 5-5 0.0%
other 0.1%
likeliest_score
h 100.0% a 0.0% p 14.6%
Goals: totals / handicap / exact calibrated
total
over_0.5 85.7% under_0.5 14.3% over_1.5 59.9%
under_1.5 40.1% over_2.5 32.1% under_2.5 67.9%
over_3.5 14.2% under_3.5 85.8% over_4.5 5.2%
under_4.5 94.8% over_5.5 1.6% under_5.5 98.4%
odd_even
odd 47.7% even 52.3%
team_home
over_0.5 67.3% under_0.5 32.7% over_1.5 30.8%
under_1.5 69.2% over_2.5 10.3% under_2.5 89.7%
team_away
over_0.5 58.3% under_0.5 41.7% over_1.5 21.8%
under_1.5 78.2% over_2.5 5.9% under_2.5 94.1%
most
home 40.4% draw 31.9% away 27.7%
handicap
home_-2.5 5.4% away_+2.5 94.6% home_-1.5 17.1%
away_+1.5 83.0% home_-0.5 40.4% away_+0.5 59.6%
home_+0.5 72.3% away_-0.5 27.7% home_+1.5 90.4%
away_-1.5 9.6% home_+2.5 97.6% away_-2.5 2.4%
total_exact
exact_0 14.3% exact_1 25.8% exact_2 27.7%
exact_3 18.0% exact_4 9.0% exact_5 3.6%
exact_6 1.2% exact_7plus 0.4%
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