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Predictions are probabilities, not guarantees.

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Every prediction is logged before kick-off and scored after the final whistle.© 2026 Oddbert. No affiliate links. No betting accepted. · Weather data from OpenWeather (ODbL).

Nice vs Paris Saint Germain prediction

Ligue 1Ligue 1·Round 11·Allianz Riviera
NiceNice
17:15
Sat 21 Nov
Prediction T-24hUpcoming
Paris Saint GermainParis Saint Germain

Most likelyParis Saint Germain win · 63%

Best price1.50 Betano

PredictionOddsContextMovementDetails

Oddbert's view

Most likely: Paris Saint Germain win

Oddbert gives Paris Saint Germain a 63% chance of winning.

17%Nice
20%Draw
63%Paris Saint Germain

In 100 matches like this, Paris Saint Germain would win about 63. In the other 37 or so, Paris Saint Germain doesn't win.

Dot chart of 100 matches like this: Nice win 17, Draw 20, Paris Saint Germain win 63.

  • Nice win17
  • Draw20
  • Paris Saint Germain win63

Each dot is one match out of 100 like this.

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Prediction

17%1NiceNice winmarket 15%
20%XDrawDrawmarket 18%
63%2Paris Saint GermainParis Saint Germain winmarket 67%

Our model vs market

Nice +1.5 ppDraw +1.5 ppParis Saint Germain -3.0 pp

Our blended model differs from the price here. This is our own view, not a validated edge — we show it openly, but we don't claim it beats the market until it has done so out-of-time.

Market-anchored: the market's vig-free price (median of 9 books) + model lean (max ±3 pp)

These are calibrated probabilities. See how closely they've matched real outcomes

Prediction as of 13 Nov 2026

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Match previewSummary

Nice meet Paris Saint Germain. The model leans toward Paris Saint Germain, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). See the probability bar above for the exact figures.

Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.

Odds comparisonBookmaker odds

Odds include the bookmaker's margin.

The highlighted price is the highest among the bookmakers with a Danish licence.

Words explained:

Bookmaker decimal odds for this match. We only show prices from bookmakers with a Danish licence (Spillemyndigheden).
BookmakerNicepays 12% more than the typical bookDrawpays 7% more than the typical bookParis Saint Germainpays 4% more than the typical book
Bet3655.504.501.45
Betano5.505.001.50best
Betfair5.504.751.44
Marathonbet6.15best5.10best1.46

Bookmaker names shown for reference only. No affiliate links.Bookmakers' names are here for reference only. We don't link to them.

Bookmaker odds are turned off. You can turn them back on under Display at the bottom of the page.

Stake sizer

Two ways to size a hypothetical stake on the model's call — Paris Saint Germain at 1.50 (Betano).

units

Stays in your browser — never sent to us.

Follow sizing
10.00units

Flat 1% of bankroll — the same rule as our public AI bankroll simulation.

Edge sizing

Not sized — the model behind this prediction has not beaten the closing market out-of-time (see Transparency). We don't size stakes off an edge we don't claim to have.

Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.

Thinking of betting on this match?18+Help and breaks

Oddbert takes no bets and doesn't link to bookmakers.

Gambling comes at a cost. The bookmaker's margin means bettors as a whole lose over time.

At the bookmaker

  • Only bookmakers with a Danish licence may offer betting in Denmark.
  • You must be 18+ and register with MitID.
  • You must set a deposit limit. Choose an amount you can afford to lose.

Even the most likely result, a win for Paris Saint Germain (63%), doesn't happen in about 37 of 100 matches like this.

18+Help and breaks

  • StopSpillet: free, anonymous advice on 70 22 28 25
  • ROFUS: exclude yourself from all Danish gambling
  • Check your gambling habits
  • Odds are hidden.

Match context

Strength-adjusted form

Nice

  1. W↓2-0ANG
  2. W↑5-2REN
  3. W=2-1SB2
  4. L↑1-2LYO
  5. W↑2-1STR

↑ stronger · = even · ↓ weaker opponent

Paris Saint Germain

  1. W↓1-0ET
  2. W↓6-0VIL
  3. W↓5-1LH
  4. W↓2-0LYO
  5. W↑4-2BAR

↑ stronger · = even · ↓ weaker opponent

Injuries & absences

Nice

Absence data is not available for this match.

Paris Saint Germain

Absence data is not available for this match.

Head to head

Nice 1Draws 1Paris Saint Germain 2
  • NIC 0-4 PSG
  • PSG 1-0 NIC
  • PSG 1-3 NIC
  • NIC 1-1 PSG

Recent form

Recent form — context only, not a tip.

Nice

Goals

Scored / game
1.5last 10
Conceded / game
1.2last 10
xG for / game
1.48last 10
xG against / game
1.54last 10
Clean sheets
2 / 10
BTTS
6 / 10
Over 2.5
6 / 10

Match stats

Corners
5.5last 10
Shots
12.5last 10
Shots on target
4.4last 10
Fouls
9.5last 10
Yellow cards
2.3last 10

Key players

  • E. Wahi6G 2A9 apps
  • S. Diop2G 3A10 apps
  • J. Clauss3G 1A10 apps

Paris Saint Germain

Goals

Scored / game
3.1last 10
Conceded / game
0.8last 10
xG for / game
2.67last 10
xG against / game
1.45last 10
Clean sheets
4 / 10
BTTS
6 / 10
Over 2.5
7 / 10

Match stats

Corners
4.7last 10
Shots
19.2last 10
Shots on target
9.6last 10
Fouls
7.0last 10
Yellow cards
0.8last 10

Key players

  • D. Doué4G 3A9 apps
  • A. Hakimi3G 3A8 apps
  • Senny Mayulu3G 2A5 apps

Venue

Venue
Allianz Riviera, Nice
Surface
Grass
Capacity
35,624

Line movement

Nice—

No line movement recorded yet

Draw—

No line movement recorded yet

Paris Saint Germain—

No line movement recorded yet

Under the hood

How the model sees this match — the drivers and, after full-time, how the prediction scored.

Why this prediction

ExplanationSummary

The model leans toward Paris Saint Germain, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). See the probability bar and factor chips above for the exact figures.

Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.

How we make these predictions
Top model factors
Pi-rating edge-1.5033%Elo difference (team-tuned home advantage)-30612%What's at stake (away)0.0011%Home form (home)9.8110%Home advantage (team-tuned)76.59%Expected goals (away)1.989%

The driver chips attribute the gradient-boosted component of an ensemble whose headline is additionally anchored to the market where a consensus exists — they explain that part of the number, not all of it.