FC Arges vs Dinamo Bucuresti prediction

Liga I
FC ArgesFC ArgesDLLDL
Fri, 6 Nov 20266/1118:30UK
Dinamo BucurestiBucurestiWWWWD
25.7%Home winFair odds 3.89
32.0%DrawFair odds 3.12
42.3%Away winFair odds 2.36
Most likely published score0-115.4%Fair odds 6.51

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Under 3.5 goalsBoth teams combined86.4%
Draw or Dinamo Bucuresti74.3%
Under 2.5 goalsBoth teams combined68.7%

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

Dinamo Bucuresti
Match winner (1X2)42.3%
Fair odds2.36
Save model pickSaved to my bets

Top signals

Goals marketUnder 3.5 goals
Model estimateModel86.4%
Fair oddsFair1.16
Double chance marketDraw or Dinamo Bucuresti
Model estimateModel74.3%
Fair oddsFair1.35
Both teams to scoreNot both teams to score
Model estimateModel61.2%
Fair oddsFair1.63

Model read

An open result market: Dinamo Bucuresti lead at 42.3%, with draw 32.0% and FC Arges at 25.7%. No result has a majority of the model probability. UnderRead full analysisShow less

An open result market: Dinamo Bucuresti lead at 42.3%, with draw 32.0% and FC Arges at 25.7%. No result has a majority of the model probability. Under 2.5 goals stands out at 68.7%. 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
68.7%
Fair odds
1.46

Not both teams to score

Model estimate
61.2%
Fair odds
1.63

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.
  • Dinamo Bucuresti: 4 wins, 1 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 3 recorded meetings averaged 2.0 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: FC Arges 0.6 and Dinamo Bucuresti 2.2 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

"FC Arges or Dinamo Bucuresti? We publish probabilities, not certainties." Our engine prices Dinamo Bucuresti at 42% for 6 November 2026. Favourites, yes; certainties, no. The model expects a tight, grinding game, just 31% on Over 2.5 with both teams to score at 39%. The recent series reads 1 wins for FC Arges, 1 draws and 1 for Dinamo Bucuresti over 3 games, 2.0 goals on average. Recent form reads W0 D2 L4 for FC Arges against W5 D1 L0 for Dinamo Bucuresti. Discipline says sit it out: 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
D
Draw · 1-1
L
Loss · 1-3
L
Loss · 0-1
D
Draw · 2-2
L
Loss · 0-1

0 wins · 2 draws · 3 losses

Dinamo BucurestiBucurestiLast 5
W
Win · 3-1
W
Win · 4-0
W
Win · 2-0
W
Win · 2-0
D
Draw · 2-2

4 wins · 1 draw · 0 losses

W Win
D Draw
L Loss

Head-to-head

Last 3 meetings

1FC ArgesFC Arges wins
1Draws
1Dinamo BucurestiBucuresti wins
2.0Average goals
Date
Home team
Score
Away team
Dinamo BucurestiBucuresti
2 – 1
FC ArgesFC Arges
FC ArgesFC Arges
1 – 1
Dinamo BucurestiBucuresti
Dinamo BucurestiBucuresti
0 – 1
FC ArgesFC Arges

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: 25.7%
FC Arges

Model minus market: —
Market probability: —
Model probability: 32.0%
Draw

Model minus market: —
Market probability: —
Model probability: 42.3%
Dinamo Bucuresti

Model minus market: —
Market probability: —

Goals

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 85.3%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 14.7%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 59.0%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 41.0%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 31.3%
Over 2.5 goals

Model minus market: —
Market probability: —
Model probability: 68.7%
Under 2.5 goals

Model minus market: —
Market probability: —
Model probability: 13.6%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 86.4%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 4.9%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 95.1%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 1.5%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 98.5%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 38.8%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 61.2%
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

FC Arges win3.89
Draw3.12
Dinamo Bucuresti win2.36
Both teams to score2.58

Goals

Over 0.5 goals1.17
Over 1.5 goals1.69
Over 2.5 goals3.20
Over 3.5 goals7.35
FC Arges most3.90
Dinamo Bucuresti most2.36

Totals line guide

Both teams combined.

Over 0.585.3%Over 1.559.0%Over 2.531.3%Over 3.513.6%Over 4.54.9%Over 5.51.5%
Recommended focusOver 2.531.3%

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 0.50.5 goals, Low risk
Model probability 85.3%
Fair odds Fair 1.17
Over 1.51.5 goals, Medium risk
Model probability 59.0%
Fair odds Fair 1.69
Over 2.52.5 goals, High risk
Model probability 31.3%
Fair odds Fair 3.20
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-014.7%Fair odds 6.79 1-010.9%Fair odds 9.17 2-04.8%Fair odds 21.05 3-01.3%Fair odds 76.92 4-00.3%Fair odds 370.37 5-00.0%Fair odds 2,500.00
Away goals 1 0-115.4%Fair odds 6.51 1-113.8%Fair odds 7.23 2-15.4%Fair odds 18.48 3-11.5%Fair odds 67.57 4-10.3%Fair odds 333.33 5-10.1%Fair odds 2,000.00
Away goals 2 0-29.1%Fair odds 10.95 1-27.5%Fair odds 13.32 2-23.1%Fair odds 32.36 3-20.9%Fair odds 117.65 4-20.2%Fair odds 588.24 5-20.0%Fair odds 3,333.33
Away goals 3 0-33.5%Fair odds 28.82 1-32.9%Fair odds 35.09 2-31.2%Fair odds 85.47 3-30.3%Fair odds 312.50 4-30.1%Fair odds 1,428.57 5-30.0%Fair odds 10,000.00
Away goals 4 0-41.0%Fair odds 101.01 1-40.8%Fair odds 123.46 2-40.3%Fair odds 303.03 3-40.1%Fair odds 1,111.11 4-40.0%Fair odds 5,000.00 5-40.0%Fair odds ·
Away goals 5 0-50.2%Fair odds 434.78 1-50.2%Fair odds 526.32 2-50.1%Fair odds 1,250.00 3-50.0%Fair odds 5,000.00 4-50.0%Fair odds · 5-50.0%Fair odds ·

Model’s 3 most likely score outcomes

Model probability · Fair odds

0-1
Model probability15.4%
Fair odds6.51
0-0
Model probability14.7%
Fair odds6.79
1-1
Model probability13.8%
Fair odds7.23

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.

FC ArgesFC Arges
Dinamo BucurestiDinamo Bucuresti

Overview

Statistic
FC Arges
Dinamo Bucuresti
League position
#13 of 16
#1 of 16
Matches played
13
13
Record W-D-L
3-3-7
9-3-1
Recent form
DLLDL
Last 5 matches
WWWWD
Last 5 matches
Current streak
L1
D1
Points per game
0.92
2.31
Record, home vs away
2-2-3
3-3-1
PPG, home vs away
1.14
1.71

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

Show all season statsHide season stats

Goals

Statistic
FC Arges
Dinamo Bucuresti
Goals scored per game
0.62
2.23
Goals conceded per game
1.08
0.69
Scored, home vs away
0.57
1.43
Conceded, home vs away
0.71
0.86
1st half goals per game
0.33
1.08
2nd half goals per game
0.33
1.17

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

Shooting

Statistic
FC Arges
Dinamo Bucuresti
Shots per game
15.2
19.0
Shots faced per game
11.3
9.1
Shots on target per game
3.3
6.1
1st half shots per game
7.3
9.2
2nd half shots per game
7.9
9.8

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

Corners & discipline

Statistic
FC Arges
Dinamo Bucuresti
Corners won per game
4.8
5.6
Fouls per game
12.8
10.9
Red cards this season
—
2

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

Goal rates

Statistic
FC Arges
Dinamo Bucuresti
Over 2.5 rate
15.4%
53.8%
BTTS rate
30.8%
53.8%
Clean sheets
23.1%
38.5%

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

League averages this season: 2.73 goals per match · Over 2.5 in 49.5% · BTTS in 47.6%. 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.

FC ArgesFC Arges
FC Arges: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.33 0.33 12
Goals concededConceded 0.58 0.50 12
Shots 7.3 7.9 11
Shots facedOpp. shots 4.2 7.1 11
Shots on targetOn target 1.9 1.4 12
Shots on target facedOpp. on target 2.0 2.3 12
Corners wonCorners 2.8 2.1 12
Corners concededOpp. corners 1.8 2.9 12
Yellow cardsYellows 0.8 1.5 12
Opponent yellow cardsOpp. yellows 0.8 1.8 12
Dinamo BucurestiDinamo Bucuresti
Dinamo Bucuresti: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.08 1.17 12
Goals concededConceded 0.25 0.33 12
Shots 9.2 9.8 11
Shots facedOpp. shots 4.6 4.6 11
Shots on targetOn target 2.9 3.2 11
Shots on target facedOpp. on target 2.6 1.0 11
Corners wonCorners 2.9 2.7 12
Corners concededOpp. corners 1.8 1.8 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.

FC Arges clean sheet 32.0%
Dinamo Bucuresti clean sheet 43.9%
FC Arges win to nil 17.3%
Dinamo Bucuresti win to nil 29.2%

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 25.7% draw 32.0% away 42.4%
double_chance
1X 57.7% 12 68.0% X2 74.3%
dnb
home 37.7% away 62.3%
btts
yes 38.8% no 61.2%
clean_sheet
home 32.0% away 44.0%
win_to_nil
home 17.3% away 29.2%
winning_margin
home_by_1 17.2% home_by_2 6.4% home_by_3plus 2.0%
away_by_1 24.1% away_by_2 12.3% away_by_3plus 5.9%
correct_score
0-0 14.7% 0-1 15.4% 0-2 9.1%
0-3 3.5% 0-4 1.0% 0-5 0.2%
1-0 10.9% 1-1 13.8% 1-2 7.5%
1-3 2.9% 1-4 0.8% 1-5 0.2%
2-0 4.8% 2-1 5.4% 2-2 3.1%
2-3 1.2% 2-4 0.3% 2-5 0.1%
3-0 1.3% 3-1 1.5% 3-2 0.9%
3-3 0.3% 3-4 0.1% 3-5 0.0%
4-0 0.3% 4-1 0.3% 4-2 0.2%
4-3 0.1% 4-4 0.0% 4-5 0.0%
5-0 0.0% 5-1 0.1% 5-2 0.0%
5-3 0.0% 5-4 0.0% 5-5 0.0%
other 0.1%
likeliest_score
h 0.0% a 100.0% p 15.4%
Goals: totals / handicap / exact calibrated
total
over_0.5 85.3% under_0.5 14.7% over_1.5 59.0%
under_1.5 41.0% over_2.5 31.3% under_2.5 68.7%
over_3.5 13.6% under_3.5 86.4% over_4.5 4.9%
under_4.5 95.1% over_5.5 1.5% under_5.5 98.5%
odd_even
odd 47.7% even 52.3%
team_home
over_0.5 56.1% under_0.5 44.0% over_1.5 19.9%
under_1.5 80.1% over_2.5 5.1% under_2.5 94.9%
team_away
over_0.5 68.0% under_0.5 32.0% over_1.5 31.5%
under_1.5 68.5% over_2.5 10.8% under_2.5 89.2%
most
home 25.7% draw 32.0% away 42.4%
handicap
home_-2.5 2.0% away_+2.5 98.0% home_-1.5 8.4%
away_+1.5 91.6% home_-0.5 25.7% away_+0.5 74.3%
home_+0.5 57.7% away_-0.5 42.4% home_+1.5 81.8%
away_-1.5 18.2% home_+2.5 94.1% away_-2.5 5.9%
total_exact
exact_0 14.7% exact_1 26.3% exact_2 27.7%
exact_3 17.7% exact_4 8.7% exact_5 3.4%
exact_6 1.1% 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 47.8% (reliability, not edge). Calibration error 0.0106 (56049 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