Tennis Betting Reports

Arthur Fery vs Flavio Cobolli

Match & Event

Field Value
Tournament / Tier Australian Open 2026 / Grand Slam
Round / Court / Time R128 / John Cain Arena / 11:00 AM local
Format Best of 5, Standard TB (10-point in 5th set)
Surface / Pace Hard (GreenSet) / Fast
Conditions Outdoor (retractable roof), 28°C forecast

Executive Summary

Totals

Metric Value
Model Fair Line 35.2 games (95% CI: 29-41)
Market Line O/U 38.5
Lean Under
Edge 3.8 pp
Confidence MEDIUM
Stake 1.0 units

Game Spread

Metric Value
Model Fair Line Cobolli -5.1 games (95% CI: -12 to +2)
Market Line Cobolli -4.5 (implied)
Lean Cobolli covers
Edge 2.8 pp
Confidence LOW
Stake 0.5 units

Key Risks: Wide confidence interval due to Bo5 format variance; Cobolli’s poor 2025 hard court record (37%); Fery’s untested ATP-level hold rate


Arthur Fery - Hold/Break Profile

Category Stat Value
Hold % Service Games Held 77% est. (hard court)
Break % Return Games Won 27% est. (limited ATP data)
Tiebreak TB Frequency ~15% est.
  TB Win Rate 52% (n=33)
Game Distribution Avg Total Games/Match 16.3 (AO Qualifying)
  Avg Games Won 12.0 (last 3)
  Straight Sets Win % 59%
Serve 1st In % 58%
  1st Pts Won % 74%
  2nd Pts Won % 61%
Return BP Conversion 34-44%
  Break Points/Match ~4.5
Load Rest / Sets Last 7d 3 days / 6 sets

Notes: Dominated AO qualifying without dropping a set. Limited ATP-level data creates uncertainty in hold/break estimates. Challenger stats suggest strong serving.


Flavio Cobolli - Hold/Break Profile

Category Stat Value
Hold % Service Games Held 65% (hard court)
Break % Return Games Won 28% (hard court)
Tiebreak TB Frequency ~25% (recent pattern)
  TB Win Rate 76.5% (n=17)
Game Distribution Avg Total Games/Match 35.0 (2026)
  Avg Games Won 16.0 (last 2)
  Straight Sets Win % <50% on hard
Serve 1st In % 56%
  1st Pts Won % 69%
  2nd Pts Won % 51%
Return vs 1st % 31%
  vs 2nd % 46%
Load Rest / Sets Last 7d 12 days / 0 sets

Notes: Struggles on hard court (37% win rate in 2025). Excellent tiebreak performer (76.5%) but both 2026 matches were grueling 3-setters. Better clay court player with both ATP titles on that surface.


Game Distribution Analysis

Set Score Probabilities

Set Score P(Fery wins) P(Cobolli wins)
6-0, 6-1 3% 8%
6-2, 6-3 8% 18%
6-4 12% 16%
7-5 8% 10%
7-6 (TB) 6% 11%

Match Structure

Metric Value
P(Cobolli wins 3-0) 32%
P(Cobolli wins 3-1) 25%
P(Cobolli wins 3-2) 10%
P(Fery wins 3-0) 8%
P(Fery wins 3-1) 12%
P(Fery wins 3-2) 13%
P(At Least 1 TB) 42%
P(2+ TBs) 15%

Total Games Distribution (Bo5)

Range Probability Cumulative
≤30 games 22% 22%
31-35 28% 50%
36-40 25% 75%
41-45 17% 92%
46+ 8% 100%

Totals Analysis

Metric Value
Expected Total Games 35.2
95% Confidence Interval 29 - 41
Fair Line 35.2
Market Line O/U 38.5
P(Over 38.5) 35%
P(Under 38.5) 65%

Factors Driving Total


Handicap Analysis

Metric Value
Expected Game Margin Cobolli -5.1
95% Confidence Interval -12 to +2
Fair Spread Cobolli -5.1

Spread Coverage Probabilities

Line P(Cobolli Covers) P(Fery Covers) Edge vs -4.5
Cobolli -2.5 68% 32% N/A
Cobolli -3.5 63% 37% N/A
Cobolli -4.5 57% 43% +2.8 pp
Cobolli -5.5 48% 52% -4.2 pp
Cobolli -6.5 42% 58% N/A

Head-to-Head (Game Context)

Metric Value
Total H2H Matches 0
Avg Total Games in H2H N/A
Avg Game Margin N/A
TBs in H2H N/A
3-Setters in H2H N/A

First career meeting. No H2H data available. Analysis relies entirely on individual statistics and form.


Market Comparison

Totals

Source Line Over Under Vig Edge
Model 35.2 50% 50% 0% -
Market O/U 38.5 48.8% 51.2% 5.1% +3.8 pp (Under)
Alt Line O/U 39.5 47.2% 52.8% 2.7% +4.9 pp (Under)

Note: The 38.5 line implies bookmakers expect a 4-set match with competitive games. Our model sees higher probability of 3-0/3-1 with efficient sets.

Game Spread

Source Line Fav Dog Vig Edge
Model Cobolli -5.1 50% 50% 0% -
Implied Cobolli -4.5 ~54% ~46% ~5% +2.8 pp

Note: Specific spread lines not found; -4.5 to -5.5 estimated from moneyline pricing.


Recommendations

Totals Recommendation

Field Value
Market Total Games
Selection Under 38.5
Target Price 1.90 or better
Edge 3.8 pp
Confidence MEDIUM
Stake 1.0 units

Rationale: Model projects 35.2 total games based on Cobolli’s moderate hold rate and likely dominance against a qualifier. Fery’s AO qualifying matches averaged only 16.3 games against weaker opposition, and while ATP-level competition will be tougher, he’s unlikely to push Cobolli to multiple close sets. The 57% probability of a 3-0 or 3-1 finish supports the under.

Game Spread Recommendation

Field Value
Market Game Handicap
Selection Cobolli -4.5
Target Price 1.90 or better
Edge 2.8 pp
Confidence LOW
Stake 0.5 units

Rationale: Model projects Cobolli -5.1 games, giving slight edge at -4.5. However, wide confidence interval (-12 to +2) reflects Bo5 variance and uncertainty about Fery’s true ATP-level quality. Cobolli’s hard court struggles add risk. Smaller stake warranted.

Pass Conditions


Risk & Unknowns

Variance Drivers

Data Limitations

Correlation Notes


Sources

  1. ATP Tour - Player profiles and statistics (atptour.com)
  2. Tennis Abstract - Advanced statistics (tennisabstract.com)
  3. SofaScore - Match preview and form (sofascore.com)
  4. Tennis Tonic - Expert preview (tennistonic.com)
  5. Wincomparator - Odds and predictions (wincomparator.com)
  6. Bleacher Nation - Match analysis (bleachernation.com)
  7. LTA - Fery player profile (lta.org.uk)

Verification Checklist