Universitatea Cluj vs FC Arges Pitesti
Recent Shooting Performance in Focus
Across 6 and 6 recent matches with recorded scores, respectively, the home side won 4 and the visitors won 1.
For the home side, finishing was higher in the latest two complete-data matches (60.0% versus 37.5% in the earlier complete-data matches); for the visitors, accuracy was lower in the latest two complete-data matches (10.5% versus 25.0% in the earlier complete-data matches).
Across 6 matches with complete shooting data, the home side averaged 13.2 shots per match and conceded 9 goals in that sample. Across 6 such matches, the visitors averaged 17.0 shots per match and conceded 7 goals.
In recent matches with recorded scores, the home side averaged 2.00 goals per match, against a weighted league reference of 1.26. The visitors averaged 0.67 goals per match, against their weighted league reference of 1.38.
Model & Market Perspective
The largest positive model-market difference concerns a home win for Universitatea Cluj. StochasticBet assigns this outcome a probability of 58.4%, compared with 57.5% in the margin-adjusted Pinnacle market assessment (a difference of +0.9 percentage points).
Across recent matches with recorded shooting data, Universitatea Cluj averaged 13.2 shots per match and FC Arges Pitesti averaged 17.0. The shooting comparison does not provide strong additional support for this outcome. However, the visitors have conceded fewer goals in their recent matches, which calls for caution.
Pre-Match Betting Perspective
Despite the positive model-market difference, the available Pinnacle pre-match reference odds of 1.65 do not exceed the model's estimated fair odds of approximately 1.71. At this price, a home win for Universitatea Cluj does not appear sufficiently attractive. A more favourable price before kick-off would be needed.
Statistical Context & Data Notes
Historical samples may involve different opponents, competitions and dates; shared fixtures are not independent. Missing shooting data are excluded. No xG, shot-quality or opponent-strength adjustment. Editorial selection thresholds are not significance tests; no prediction is implied.
Historical performance provides context rather than a prediction of the final result.
Model vs Market
Defensive Edge: Universitatea Cluj
Recent attacking and defensive numbers do not show a clear overall edge.
Based on the teams' four most recent matches in the available data.
Market Momentum
Normalized implied probability movement · percentage points · as of 2026-10-19 09:23:03
6h window
| Outcome | Pinnacle | Bet365 |
|---|---|---|
| HOME | +3.13 pp | +1.75 pp |
| DRAW | -1.12 pp | -0.73 pp |
| AWAY | -2.00 pp | -1.03 pp |
No qualified strong agreement in this window.
24h window
| Outcome | Pinnacle | Bet365 |
|---|---|---|
| HOME | +3.97 pp | +3.48 pp |
| DRAW | -1.54 pp | -1.61 pp |
| AWAY | -2.44 pp | -1.86 pp |
Market Agreement: HOME UP
Based on available observation endpoints; continuous coverage is not verified. Unavailable values are not zero movements. Market movement is descriptive, not a prediction.
Explore recent match statisticsCharts and detailed data
Recent matches compared
Historical window: 180 days before kickoff. Shooting benchmarks require at least 30 complete matches.
How have the teams performed recently?
Most recent first · W win · D draw · L loss
Shots taken
Shots per match · difference from league average
Shots conceded
Opposition shots per match · difference from league average
Shots on target
Shots on target per match · difference from league average
Shots on target conceded
Opposition shots on target per match · difference from league average
Goals scored
Goals per match · difference from league average
Shot conversion
Goals per shot · difference from league average in percentage points
Goals conceded per shots faced
Goals conceded per opposition shot · difference from league average in percentage points
Individual match details
Universitatea Cluj · individual matches
| Date | Venue | Result | Shots for/against | On target for/against |
|---|---|---|---|---|
| 12/10/2026 | Home | 3–4 | 16 / 10 | 3 / 5 |
| 08/10/2026 | Away | 3–1 | 18 / 12 | 7 / 3 |
| 20/09/2026 | Away | 2–0 | 16 / 14 | 5 / 5 |
| 14/09/2026 | Home | 3–0 | 13 / 7 | 4 / 3 |
| 07/09/2026 | Away | 0–4 | 8 / 16 | 3 / 7 |
| 01/09/2026 | Home | 1–0 | 8 / 10 | 4 / 3 |
FC Arges Pitesti · individual matches
| Date | Venue | Result | Shots for/against | On target for/against |
|---|---|---|---|---|
| 12/10/2026 | Home | 0–1 | 21 / 11 | 2 / 3 |
| 03/10/2026 | Home | 0–0 | 17 / 9 | 2 / 3 |
| 30/09/2026 | Home | 2–1 | 21 / 5 | 10 / 3 |
| 18/09/2026 | Away | 1–3 | 11 / 23 | 2 / 9 |
| 13/09/2026 | Home | 1–1 | 10 / 5 | 2 / 3 |
| 07/09/2026 | Away | 0–1 | 22 / 12 | 2 / 5 |
The recent matches are the latest available before kickoff within the historical window and may include other competitions. The benchmark refers to the event league and is weighted by the home/away composition of the recent sample. Goals and shots may have different data coverage; conversion rates use only matches with paired observations. Benchmarks are reconstructed from match dates rather than certified data-capture timestamps. Opponent strength and chance quality (xG) are not adjusted for. Some statistics may be incomplete or anomalous. These indicators are descriptive, not predictive.