Giovanni Mpetshi Perricard vs Sebastian Baez

Match & Event

Executive Summary

Totals

Game Spread

Key Risks: EXTREME tiebreak variance (89.7% hold vs 73.2% hold), Baez zero tiebreak sample, Best-of-5 format uncertainty, Mpetshi Perricard poor recent form (2-7 L9), both players middling rankings

Giovanni Mpetshi Perricard - Complete Profile

Rankings & Form

Surface Performance (Hard)

Hold/Break Analysis

Game Distribution Metrics

Serve Statistics

Physical & Context

Recent Form Analysis

Last 9 Matches (Avg 26.6 games/match):

• Auckland QF: W 6-4 6-2 vs #18 (12 games, DR 0.52)
• Recent stretch: 5 consecutive tiebreak losses in last 9 matches
• Brisbane/Auckland: Multiple 3-set tiebreak losses
• Avg DR in L9: 0.79 (losing games at poor rate)

Sebastian Baez - Complete Profile

Rankings & Form

Surface Performance (Hard)

Hold/Break Analysis

Game Distribution Metrics

Serve Statistics

Physical & Context

Recent Form Analysis

Last 9 Matches (Avg 22.9 games/match):

• Auckland F: W 6-3 7-6(7) vs #18
• Auckland run: Beat #8, #48, #60, #88
• United Cup: 3-0 run on hard courts
• Avg DR in L9: 1.14 (winning games comfortably)

Matchup Quality Assessment

Elo Comparison

Quality Rating: MEDIUM-LOW (both players Elo <1800)

• Neither player elite level (both <1800 Elo)
• GMP has moderate Elo advantage (+85 on hard)
• Baez significantly weaker on hard courts (#105 hard Elo rank)

Elo Edge: Mpetshi Perricard by 85 points on hard court

• Moderate advantage (85-100 range)
• Suggests slight edge to GMP but not dominant

Recent Form Analysis

Form Indicators:

• Dominance Ratio (DR): GMP 0.79 (struggling), Baez 1.14 (dominant)
• Three-Set Frequency: GMP 44.4% (many competitive matches), Baez 22.2% (crushing opponents)

Form Advantage: Baez - Coming off Auckland final run with 8-1 record, winning games at 1.14 ratio vs GMP’s 0.79

Form Contradiction:

• Baez recent results (8-1) EXCELLENT but form trend = “declining”
• GMP recent results (2-7) POOR but form trend = “stable”
• This suggests Baez may be peaking short-term but underlying metrics declining

Clutch Performance

Break Point Situations

Interpretation:

• GMP: Elite BP saved (71.9%) but poor conversion (26.1%)
• Baez: Tour average BP conversion (40.7%), below average BP saved (52.6%)
• Key Insight: GMP protects serve well, Baez breaks well

Tiebreak Specifics

Clutch Edge: Mpetshi Perricard in tiebreaks - 71.3% serve win in TBs vs Baez 43.8%

CRITICAL WARNING: Baez has only played 1 tiebreak in last 52 weeks (lost it), sample size completely insufficient for prediction

Impact on Tiebreak Modeling:

• Adjusted P(GMP wins TB): 60% (base 55.2%, clutch +4.8% from elite TB serve)
• Adjusted P(Baez wins TB): 35-40% (HIGHLY UNCERTAIN - almost no data)
• Expected TBs in match: 2-3 tiebreaks (GMP 89.7% hold + Baez 73.2% hold = high TB rate)

Set Closure Patterns

Consolidation Analysis:

• GMP 66.7%: Decent - usually consolidates breaks
• Baez 70.0%: Good - holds serve after breaking

Set Closure Pattern:

• GMP: Low breakback rate (11.8%) means once broken, rarely recovers
• Baez: Better breakback rate (19.6%) shows more resilience

Games Adjustment: +1 game to expected total due to GMP’s low breakback rate (sets less likely to see multiple service breaks)

Playing Style Analysis

Winner/UFE Profile

Style Classifications:

• Mpetshi Perricard (1.48 W/UFE): Balanced-Aggressive - More winners than errors, controlled aggression
• Baez (0.70 W/UFE): Error-Prone - More errors than winners, grinder style

Matchup Style Dynamics

Style Matchup: Balanced-Aggressive Big Server vs Error-Prone Grinder

• GMP: Big serve, big groundstrokes, looks to finish points quickly
• Baez: Clay-court grinder on hard courts, relies on consistency and opponent errors
• Expected pattern: Short service games for GMP, longer return games

Matchup Volatility: HIGH

• GMP error-prone style (1.48 not quite consistent) + Baez error-prone (0.70)
• Both have volatility in their games
• Baez weak serve (60% SPW) vs GMP weak return (25.9% RPW) = many holds
• GMP strong serve (71% SPW) vs Baez decent return (38.2% RPW) = many holds but some breaks

CI Adjustment: +1.5 games to base CI due to:

• Error-prone matchup (Baez 0.70 W/UFE = volatile)
• Best-of-5 format uncertainty (neither player has strong Bo5 data)
• Extreme tiebreak variance expected

Game Distribution Analysis

Expected Hold/Break Rates (Adjusted)

Mpetshi Perricard on serve:

• Base hold%: 89.7%
• Elo adjustment (+85): +1.7%
• Adjusted hold: 91.4%
• Expected service games held: ~11.4 out of 12.5 per match

Baez on serve vs GMP return:

• Base hold%: 73.2%
• Opponent adjustment (GMP 8.0% break): +4.0%
• Elo adjustment (-85): -1.7%
• Adjusted hold: 75.5%
• Expected service games held: ~9.4 out of 12.5 per match

Break expectations per match:

• GMP breaks of Baez: ~3.1 breaks (26.6% base × 0.9 opponent adj = ~3.1)
• Baez breaks of GMP: ~1.1 breaks (8.0% base × 1.05 matchup adj = ~1.1)
• Expected break differential: GMP +2.0 breaks per match

Set Score Probabilities

Analysis:

• High tiebreak probability (30%+ for GMP, 18%+ for Baez) due to GMP elite hold rate
• Baez unlikely to dominate sets due to weak serve
• GMP likely to win most sets but many go to tiebreaks

Match Structure (Best-of-5)

Key Insight: EXTREME tiebreak likelihood - expect 2-3 tiebreaks in this match

Total Games Distribution (Best-of-5)

Expected Total Games: 25.8 games (95% CI: 21-31 games)

Totals Analysis

Factors Driving Total

UPWARD PRESSURE (+3-4 games vs typical match):

• Extreme hold rates: GMP 89.7%, creates massive tiebreak frequency
• Tiebreak probability: 85% chance of at least 1 TB, 65% chance of 2+ TBs
• Each tiebreak adds: +1 game minimum (13 vs 12 in normal set)
• Best-of-5 format: More sets = more cumulative games
• GMP recent form: Averaging 26.6 games in last 9 matches

DOWNWARD PRESSURE (-1-2 games):

• Baez weak serve: 73.2% hold means GMP can break more easily
• Expected breaks: GMP to break 3-4 times per match
• Straight sets risk: 25% chance GMP wins 3-0 (only 18-20 games)

NET EFFECT: Slight upward bias due to extreme tiebreak variance, expect 25-28 games most likely

Model Assessment

Expected Total: 25.8 games

• Lower bound (3-0 sweep): 21 games
• Upper bound (5-set TB fest): 31+ games
• Modal outcome: 26-28 games (4 sets, 1-2 TBs)

⚠️ CRITICAL ISSUE: No market line available for comparison

If line were available, breakeven analysis:

• O/U 24.5: Lean OVER (55% probability)
• O/U 25.5: No edge (50% probability)
• O/U 26.5: Lean UNDER (55% probability)

Handicap Analysis

Spread Coverage Probabilities

Spread Analysis

Expected Margin Calculation:

• GMP expected games won: 14.3 per match (26.8 total × 53% game win rate)
• Baez expected games won: 12.5 per match (26.8 total × 47% game win rate)
• Fair margin: GMP -1.8 to -3.0 games

Margin Drivers:

• GMP break advantage: ~+2 breaks per match = +2 games
• Tiebreaks reduce margin: TBs are coin flips, reduce game differential
• Best-of-5 volatility: Can swing ±5 games easily

⚠️ EXTREME VARIANCE:

• 95% CI of -8 to +2 is HUGE (10-game spread)
• Tiebreak outcomes will determine margin more than hold/break
• 3-0 GMP sweep: -8 to -10 games
• 3-2 Baez upset: +3 to +5 games
• Modal 3-1 GMP: -2 to -4 games

Conclusion: Spread market too volatile to bet without significant edge (>5%)

Market Comparison

Totals

⚠️ NO MARKET AVAILABLE

Game Spread

⚠️ NO MARKET AVAILABLE

Recommendations

Totals Recommendation

Rationale: No market odds available for totals betting. Model projects 25.8 games (95% CI: 21-31), but without market line, no actionable edge exists. If a line becomes available, would consider Over 24.5 or Under 27.5 depending on price.

Game Spread Recommendation

Rationale: No market odds available for spread betting. Model projects GMP -2.8 (95% CI: -8 to +2), but extreme variance makes spread betting highly risky even with line available. Would require 5%+ edge to overcome tiebreak variance.

Pass Conditions

PASS on this match due to:

1. No market odds available - Cannot calculate edge without market line
2. Extreme tiebreak variance - 89.7% hold vs 73.2% hold creates unpredictable outcomes
3. Baez zero tiebreak data - 0-1 tiebreak record in 52 weeks insufficient for modeling
4. Best-of-5 uncertainty - Neither player has strong Bo5 track record
5. Wide confidence intervals - ±5 games on totals, ±5 games on spread = too much variance
6. GMP poor form - 2-7 in last 9 with declining results reduces confidence

If odds become available, reconsider if:

• Totals line set at 24.5 or lower (Over becomes +EV)
• Totals line set at 28.5 or higher (Under becomes +EV)
• Spread offers GMP -1.5 at plus money (slight value)
• Additional tiebreak data emerges for Baez

Confidence Calculation

Base Confidence (from edge size)

Base Confidence: PASS (no market available = no edge)

Adjustments Applied

Adjustment Calculation:

Data Quality Impact:

• Completeness: MEDIUM (Baez tiebreak data = 0-1 sample)
• Multiplier: 0.8 (-20% confidence)
• CRITICAL GAP: Baez has played only 1 tiebreak in 52 weeks, yet we project 2-3 TBs in this match

Style Volatility Impact:

• GMP W/UFE: 1.48 (Balanced-Aggressive)
• Baez W/UFE: 0.70 (Error-Prone)
• Matchup type: Mixed volatility
• CI Adjustment: +1.5 games (wider CI due to error-prone player)

Best-of-5 Uncertainty:

• Neither player has strong Bo5 data in dataset
• GMP: No recent Bo5 matches in data
• Baez: No recent Bo5 matches in data
• Additional uncertainty: +1 game to CI

Final Confidence

Key Risk Factors Preventing Action:

1. No market odds available - Fatal flaw, no edge calculable
2. Baez tiebreak sample = 1 - Insufficient data for 2-3 expected TBs
3. 95% CI ±5 games - Too wide for confident totals betting
4. GMP 2-7 recent form - Poor results reduce model confidence
5. Best-of-5 format - Adds layers of variance vs Best-of-3 models

Risk & Unknowns

Variance Drivers

• EXTREME Tiebreak Volatility:
  • GMP 89.7% hold + Baez 73.2% hold = 85% chance of TB
  • Baez has 0-1 TB record (no meaningful data)
  • Each TB is coin flip that adds ±2-3 games to margin
  • Expected 2-3 TBs per match = ±6-9 game swing potential
• Best-of-5 Uncertainty:
  • Neither player has recent Bo5 data
  • Fitness/stamina unknown over 5 sets
  • Distribution modeling based on Bo3 extrapolation
• GMP Form Volatility:
  • 2-7 in last 9 matches
  • Lost 5 consecutive tiebreaks recently
  • Mental state questionable
• Baez Surface Weakness:
  • #105 hard court Elo (weak surface)
  • Just came off clay Challenger
  • Hard court adaptation uncertain

Data Limitations

• Baez Tiebreak Data: 0-1 in last 52 weeks (completely insufficient)
• No H2H History: Players have never met
• Bo5 Extrapolation: Modeling based on Bo3 patterns, may not hold
• GMP Injury/Fitness: No injury data, but 2-7 form suggests possible issues
• Missing Odds: Cannot calculate actual edge without market lines

Correlation Notes

• No open positions: First match analyzed
• Tournament context: R128 of Grand Slam, both players face long potential run
• Potential followup: If GMP wins, may face higher seed in R64 (different dynamics)

Sources

1. TennisAbstract.com - Primary source for player statistics (Last 52 Weeks Tour-Level Splits)
   • Hold % and Break % (direct values): GMP 89.7% / 8.0%, Baez 73.2% / 26.6%
   • Game-level statistics
   • Surface-specific performance (all surfaces used due to data availability)
   • Tiebreak statistics: GMP 29 TBs (55.2%), Baez 1 TB (0.0%)
   • Elo ratings: GMP 1723 hard, Baez 1638 hard
   • Recent form: GMP 2-7 (stable, DR 0.79), Baez 8-1 (declining, DR 1.14)
   • Clutch stats: GMP 71.9% BP saved, Baez 40.7% BP conversion
   • Key games: GMP 66.7% consolidation, Baez 70.0% consolidation
   • Playing style: GMP 1.48 W/UFE (balanced), Baez 0.70 W/UFE (error-prone)
2. Briefing File - Match odds collection attempt
   • Result: No odds found for this match
   • Search dates: 2026-01-18 to 2026-01-20
   • Likely reason: R128 matches not posted yet or low-profile matchup

Verification Checklist

Core Statistics

• Hold % collected for both players (GMP 89.7%, Baez 73.2%)
• Break % collected for both players (GMP 8.0%, Baez 26.6%)
• Tiebreak statistics collected (GMP n=29, Baez n=1 ⚠️ insufficient)
• Game distribution modeled (set score probabilities generated)
• Expected total games calculated with 95% CI (25.8 games, CI: 21-31)
• Expected game margin calculated with 95% CI (GMP -2.8, CI: -8 to +2)
• Totals line compared to market (N/A - no market available)
• Spread line compared to market (N/A - no market available)
• Edge ≥ 2.5% for any recommendations (N/A - PASS due to no market)
• Confidence intervals appropriately wide (±5 games due to variance)
• NO moneyline analysis included ✓

Enhanced Analysis

• Elo ratings extracted (GMP 1723 hard, Baez 1638 hard)
• Recent form data included (GMP 2-7, Baez 8-1 with trends)
• Clutch stats analyzed (BP conversion/saved, TB serve/return)
• Key games metrics reviewed (consolidation, breakback rates)
• Playing style assessed (GMP 1.48 W/UFE balanced, Baez 0.70 error-prone)
• Matchup Quality Assessment section completed
• Clutch Performance section completed
• Set Closure Patterns section completed
• Playing Style Analysis section completed
• Confidence Calculation section with all adjustment factors

Additional Notes

• ⚠️ Data Quality: MEDIUM - Baez tiebreak sample insufficient (n=1)
• ⚠️ Recommendation: PASS - No market odds available
• ⚠️ Variance: EXTREME - 95% CI ±5 games on totals, ±5 games on spread
• ⚠️ Best-of-5 Uncertainty - No recent Bo5 data for either player

FINAL VERDICT: PASS on both totals and spread markets. No actionable edge without market odds. Even if odds become available, extreme tiebreak variance (GMP 89.7% hold creating TB-fest) combined with Baez’s non-existent tiebreak sample (0-1 in 52 weeks) makes this match too unpredictable for confident betting. Would require 5%+ edge and additional tiebreak data for Baez to justify action.