xgEdge

Saturday, 22/08/2026 at 20:45

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Match report · Ligue 1

Troyes 0:0 Paris FC

Troyes Home 0.42 xG · 9 shots
Paris FC Away 1.80 xG · 10 shots
00 Paris FC had the better chances, but it finished level

Troyes were the model's likeliest winner before kick-off at 43%. It finished 0–0. The biggest difference was Troyes's attack: 0.42 xG against 1.45 projected (−1.03). Paris FC produced 1.80 xG against 1.12 projected (+0.68).

The model against the result

priced before kick-off
Troyes
43%
Draw
31% What happened
Paris FC
26%

Data coverage The model has never seen one of these sides play. Every figure here rests on an exactly average stand-in for it, which is a guess in a projection's clothes.

Projected vs produced

Expected goals
Troyes The model projected 1.45 Produced 0.42 Difference -1.03
Paris FC The model projected 1.12 Produced 1.80 Difference +0.68

Troyes produced 1.03 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Troyes Paris FC
Shots
9
10
On target
2
1
Inside the box
7
5
xG per shot
0.05
0.18
Open play xG
0.19
1.75
Set-piece xG
0.23
0.00
Penalties
—
—
Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 1.78 for Paris FC.

Shot map

Both teams shown attacking the same goal for comparison.

Paris FC · Patrick Zabi · 87' · No goal · 4 m · 0.89 xG Paris FC · Lassine Sinayoko · 32' · No goal · 8 m · 0.41 xG Troyes · Merwan Ifnaoui · 60' · No goal · 12 m · 0.13 xG Troyes · Renaud Ripart · 16' · No goal · 7 m · 0.12 xG Paris FC · Pablo Pagis · 46' · No goal · 19 m · 0.12 xG Troyes · Renaud Ripart · 14' · No goal · 8 m · 0.08 xG Paris FC · Pablo Pagis · 33' · No goal · 9 m · 0.08 xG Paris FC · Pablo Pagis · 53' · No goal · 12 m · 0.06 xG Paris FC · Pierre Lees Melou · 44' · No goal · 26 m · 0.05 xG Paris FC · Ilan Kebbal · 69' · No goal · 22 m · 0.05 xG Paris FC · Luca Koleosho · 24' · No goal · 19 m · 0.04 xG Troyes · Renaud Ripart · 31' · No goal · 12 m · 0.03 xG Paris FC · Ilan Kebbal · 32' · No goal · 19 m · 0.03 xG Troyes · Antoine Mille · 77' · No goal · 12 m · 0.03 xG Paris FC · Ilan Kebbal · 27' · No goal · 14 m · 0.02 xG Troyes · Iron Gomis · 15' · No goal · 9 m · 0.01 xG Troyes · Kandet Diawara · 45' · No goal · 25 m · 0.01 xG Troyes · Antoine Mille · 86' · No goal · 5 m · 0.01 xG Troyes · Yvann Titi · 43' · No goal · 26 m · 0.00 xG

All shots

19 shots · 2.17 xG

Hover, focus or tap a shot to read it.

  • Troyes
  • Paris FC
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Troyes

No match with expected goals behind it yet.

Paris FC

1.78 xG created 1.37 xGA

  • W 2.61 created, 2.31 conceded against AS Monaco
  • W 1.74 created, 1.01 conceded against Metz
  • L 1.06 created, 1.71 conceded against Lille
  • W 1.86 created, 0.79 conceded against Stade Brestois
  • L 1.20 created, 1.77 conceded against Stade Rennais
  • W 2.20 created, 0.61 conceded against Paris Saint-Germain

xG created xG conceded (xGA) W / D / L: the match result

Pre-match model & market record

3 opportunities flagged2 won1 lost

  • Lost
  • Won
  • Won
View pre-match record
The outcomes the model flagged on Troyes against Paris FC before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Troyes to win 3.10 +33.1% Lost
Under 2.5 goals 2.10 +7.8% Won
Draw 3.40 +4.3% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Troyes 42.9% 30.7% +12.3 pp 2.33
Draw 30.7% 28.0% +2.7 pp 3.26
Paris FC 26.4% 41.3% −15.0 pp 3.79

Other markets

Outcome Model Market Difference Fair odds
Both teams to score 57.6% 58.9% −1.2 pp 1.73
Both teams not to score 42.4% 41.1% +1.2 pp 2.36
Over 1.5 goals 77.1% 78.0% −0.9 pp 1.30
Under 1.5 goals 22.9% 22.0% +0.9 pp 4.36
Over 2.5 goals 48.7% 54.9% −6.2 pp 2.05
Under 2.5 goals 51.3% 45.1% +6.2 pp 1.95

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

· 1 warning
Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Troyes sample
0 matches
Paris FC sample
20 matches
Computed
11 hours before kick-off
Prices taken
1 day before kick-off

Warnings

  • There is not a single played match in the database for Troyes — the estimate for that side is the league average and nothing else.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.