M. Landaluce vs S. Shimabukuro

Match & Event

Executive Summary

Totals

Game Spread

Key Risks: Low tiebreak sample sizes (5 TBs each), both players stable but unspectacular form, moderate three-set rate creating totals variance

Quality & Form Comparison

Summary: Shimabukuro holds a clear quality edge with an Elo rating of 1293 (rank #149) compared to Landaluce’s 1200 (rank #450). Both players show stable form trends over their last 69-70 matches, though Shimabukuro’s record (45-25, 64.3% win rate) is significantly stronger than Landaluce’s (36-33, 52.2%). Their dominance ratios are nearly identical (Shimabukuro 1.36, Landaluce 1.39), but Shimabukuro’s superior game win percentage (52.7% vs 49.9%) indicates more consistent performance.

Landaluce has a slightly higher three-set rate (42.0% vs 35.7%), suggesting his matches tend to be more competitive and volatile, while Shimabukuro finishes matches more decisively in straight sets.

Totals Impact: Landaluce’s higher three-set frequency pushes toward higher totals, while Shimabukuro’s efficiency in closing out matches pulls slightly lower. Net neutral impact.

Spread Impact: Quality differential favors Shimabukuro by approximately 1.5-2.5 games, with Elo difference supporting a modest but clear edge.

Hold & Break Comparison

Summary: Shimabukuro demonstrates substantially superior service reliability with an 81.1% hold rate versus Landaluce’s 72.8% hold rate. This 8.3 percentage point gap is significant and reflects Shimabukuro’s ability to protect serve more effectively. On return, the break percentages are closer (Shimabukuro 26.2%, Landaluce 25.6%), showing comparable return capabilities.

The average breaks per match statistics align with these profiles: Landaluce averages 3.59 breaks per match (more volatile service games), while Shimabukuro averages 3.35 (more stable). Shimabukuro’s superior hold percentage is the primary driver of his overall game win advantage.

Totals Impact: Shimabukuro’s high hold rate (81%) combined with Landaluce’s vulnerable serve (73%) creates a moderate imbalance that typically produces 22-24 game matches. The break differential isn’t extreme enough to push totals significantly high or low - expect mid-range totals.

Spread Impact: The 8.3% hold differential translates to approximately 1.5-2 additional service holds per match for Shimabukuro, supporting a spread of -3 to -4 games in his favor.

Pressure Performance

Break Points & Tiebreaks

Set Closure Patterns

Summary: Shimabukuro shows superior clutch performance across all pressure metrics. His break point conversion (55.9%) exceeds Landaluce’s (50.8%), while his break point save rate (64.1%) also edges Landaluce (61.0%). Both players perform reasonably well in clutch moments, but Shimabukuro’s edge is consistent.

In tiebreaks, both players are effective but with limited sample sizes (Landaluce 3-2, Shimabukuro 4-1). Shimabukuro’s 80% tiebreak win rate is impressive but based on only 5 tiebreaks. Landaluce’s 60% rate across 5 tiebreaks is respectable. Shimabukuro’s tiebreak serve win rate (80%) is exceptional, while his return performance (20%) is weak - suggesting dominance on his serve but vulnerability on return in tiebreaks.

Key games performance heavily favors Shimabukuro: consolidation rate 86.7% vs 76.2%, breakback ability 28.1% vs 19.9%, and serving for set/match rates around 87-89% vs 86-92%. Shimabukuro’s superior consolidation prevents momentum swings.

Totals Impact: Low tiebreak sample sizes for both players, but neither shows extreme tiebreak avoidance. Expect 0-1 tiebreaks per match.

Tiebreak Probability: If a tiebreak occurs, Shimabukuro’s superior serve performance (80% in TBs) gives him the edge, though Landaluce’s 60% overall TB win rate keeps him competitive. P(At Least 1 TB) = 22.2%

Game Distribution Analysis

Set Score Probabilities

Match Structure

Total Games Distribution

Totals Analysis

Market Probabilities

Factors Driving Total

• Hold Rate Impact: Shimabukuro’s superior hold (81.1%) combined with Landaluce’s weaker hold (72.8%) creates a moderate service imbalance. However, the imbalance is not severe enough to produce dominant scorelines consistently.
• Tiebreak Probability: 22% chance of at least one tiebreak, driven by low but realistic hold rates. Each TB adds 2 games to the total.
• Straight Sets Risk: 64% probability Shimabukuro wins in straight sets (avg 20.2 games), but 36% three-set probability (avg 30.7 games) keeps the expected total at 24 games.

Model Working

1. Starting inputs:
   • Landaluce: 72.8% hold, 25.6% break
   • Shimabukuro: 81.1% hold, 26.2% break
2. Elo/form adjustments:
   • Elo differential: +93 (Shimabukuro)
   • Adjustment: +0.19pp hold for Shimabukuro, +0.14pp break for Shimabukuro
   • Form: Both stable → no form multiplier
   • Adjusted rates: Landaluce 72.8% hold / 25.6% break, Shimabukuro 81.3% hold / 26.3% break
3. Expected breaks per set:
   • Landaluce serving → Shimabukuro breaks ~26.3% of games → ~1.7 breaks per set
   • Shimabukuro serving → Landaluce breaks ~25.6% of games → ~1.4 breaks per set
   • Total breaks per set: ~3.1
4. Set score derivation:
   • Most likely: 6-4, 6-3, 7-5 (weighted toward Shimabukuro)
   • Games per set average: 10.1 games
5. Match structure weighting:
   • 64% straight sets (2 sets × 10.1 games = 20.2 games)
   • 36% three sets (3 sets × 10.25 games = 30.75 games)
   • Weighted: 0.64 × 20.2 + 0.36 × 30.75 = 12.93 + 11.07 = 24.0 games
6. Tiebreak contribution:
   • P(TB) = 22.2% → adds ~0.44 games to expected total (already in 24.0)
7. CI adjustment:
   • Base CI width: ±3 games
   • Landaluce’s lower consolidation (76.2%) and moderate breakback (19.9%) create volatility → widen CI slightly
   • Shimabukuro’s high consolidation (86.7%) reduces volatility → tighten CI slightly
   • Combined adjustment: 1.05x (slight widening due to three-set variance)
   • Final CI: 21-29 games (95% confidence, wider due to 42% three-set rate for Landaluce)
8. Result:
   • Fair totals line: 23.5 games (95% CI: 21-29)

Confidence Assessment

• Edge magnitude: 4.6 pp edge on Over 23.5 → within MEDIUM range (3-5%)
• Data quality: HIGH completeness. 69-70 matches played for each player over last 52 weeks, strong sample sizes.
• Model-empirical alignment: Model expected total (24.0) aligns closely with both players’ L52W averages (Landaluce 23.2, Shimabukuro 22.6). Average of player averages: 22.9 games. Model is 1.1 games higher due to Landaluce’s higher three-set rate (42%) vs Shimabukuro’s (35.7%) → expect this match to trend toward Landaluce’s typical totals.
• Key uncertainty: Low tiebreak sample sizes (5 TBs each) create uncertainty in TB modeling. Three-set variance is moderate (36% probability).
• Conclusion: Confidence: MEDIUM because edge is solid (4.6 pp), data quality is high, and model aligns with empirical averages, but tiebreak sample size and three-set variance prevent HIGH confidence.

Handicap Analysis

Spread Coverage Probabilities

Market Line Alert: The market has Landaluce -1.5, but the model strongly favors Shimabukuro by -3.8 games. This creates a 9.5 pp edge on taking Landaluce -1.5 (which is equivalent to Shimabukuro +1.5 on the reverse).

Corrected Edge Calculation:

• Market line: Landaluce -1.5
• Market implies: P(Landaluce wins by 2+ games) = 48.5%
• Model implies: P(Landaluce wins by 2+ games) = 28% (inverse of Shimabukuro -1.5 coverage = 72%)
• Edge on SHIMABUKURO +1.5 (taking underdog Landaluce -1.5 from wrong-way market): 72% - 51.5% = +20.5 pp
• Practical play: Bet Landaluce -1.5 at 1.93 (model says this is underdog getting +1.5)

Model Working

1. Game win differential:
   • Landaluce: 49.9% game win → ~12.0 games won in a 24-game match
   • Shimabukuro: 52.7% game win → ~12.6 games won in a 24-game match
   • Margin from game win %: Shimabukuro +0.6 games
2. Break rate differential:
   • Shimabukuro break rate edge: +0.6pp (26.2% vs 25.6%)
   • Shimabukuro hold rate edge: +8.3pp (81.1% vs 72.8%)
   • Hold differential is the primary driver: ~1.5 additional service holds per match for Shimabukuro
   • Break differential adds ~0.1 additional breaks per match for Shimabukuro
   • Combined: ~1.6 game margin from hold/break differential alone
3. Match structure weighting:
   • Straight sets margin (64% probability): Shimabukuro -4.2 games (e.g., 6-3, 6-4 = 12-7)
   • Three sets margin (36% probability): Shimabukuro -2.8 games (e.g., 6-4, 4-6, 6-3 = 16-13)
   • Weighted: 0.64 × (-4.2) + 0.36 × (-2.8) = -2.69 + (-1.01) = -3.7 games
4. Adjustments:
   • Elo adjustment: +93 Elo → adds ~0.2 games to Shimabukuro’s margin
   • Dominance ratio: Nearly identical (1.36 vs 1.39) → no adjustment
   • Consolidation/breakback: Shimabukuro’s superior consolidation (86.7% vs 76.2%) adds ~0.3 games to margin (prevents Landaluce comebacks)
   • Form: Both stable → no adjustment
   • Total adjustment: +0.5 games
5. Result:
   • Base margin: -3.7 games
   • Adjusted margin: -3.7 - 0.5 = -4.2 games
   • Round to fair spread: Shimabukuro -3.5 games (conservative)
   • 95% CI: -7 to -2 games

Confidence Assessment

• Edge magnitude: Market has Landaluce -1.5 (implying Shimabukuro is underdog). Model has Shimabukuro -3.8. Taking Landaluce -1.5 is equivalent to getting Shimabukuro at +1.5, which the model says covers 72% of the time vs market’s 51.5% → 20.5 pp edge (would be HIGH), but capped at MEDIUM due to directional convergence check below.
• Directional convergence: All indicators agree Shimabukuro favored:
  • ✅ Break% edge (+0.6pp)
  • ✅ Hold% edge (+8.3pp) — STRONG
  • ✅ Elo gap (+93)
  • ✅ Game win% edge (+2.8pp)
  • ✅ Recent form (64.3% vs 52.2% win rate)
  • ✅ Consolidation edge (86.7% vs 76.2%)
  • 6/6 indicators agree → very high directional confidence
• Key risk to spread: Landaluce’s higher three-set rate (42%) creates variance. If match goes three sets (36% probability), margin compresses to -2.8 games. Also, Landaluce’s 19.9% breakback rate is low, but if he breaks once early, Shimabukuro’s 28.1% breakback could keep it close.
• CI vs market line: Market line (Landaluce -1.5, i.e. Shimabukuro +1.5) is well within the 95% CI (-7 to -2), but at the extreme optimistic end for Landaluce. Model’s fair spread (Shimabukuro -3.5) suggests market is mispriced by ~5 games.
• Conclusion: Confidence: MEDIUM because all indicators agree on direction (Shimabukuro favored), edge is massive (20.5 pp if taking Landaluce -1.5 as proxy for Shimabukuro +1.5), but the market being THIS wrong is suspicious. Possible explanations: (1) Market has injury/motivation info not in stats, (2) Market is wrong, or (3) Low liquidity qualifier market. Given data quality is HIGH and convergence is perfect, lean toward (2) or (3). Stake 1.5 units (upper end of MEDIUM) but cap confidence at MEDIUM due to extreme market disagreement.

Head-to-Head (Game Context)

Note: No prior head-to-head matches. Analysis relies entirely on individual player statistics.

Market Comparison

Totals

Game Spread

Market Interpretation: The spread market has Landaluce as a -1.5 favorite, but our model has Shimabukuro as a -3.5 favorite. This is a 5-game swing. Taking Landaluce -1.5 at these odds is effectively getting Shimabukuro at +1.5, which the model loves.

Recommendations

Totals Recommendation

Rationale: Model expects 24.0 games (95% CI: 21-29) with 48% probability of going over 23.5. The market’s 43.4% no-vig probability undervalues the Over by 4.6 pp. Landaluce’s higher three-set rate (42%) and both players’ modest hold rates (72.8% and 81.1%) create realistic paths to 24-26 games. The peak probability is 22-23 games (25%), but the right tail (24-29 games, 45% combined) is underpriced by the market.

Game Spread Recommendation

Rationale: The market has Landaluce as a -1.5 favorite, but the model strongly favors Shimabukuro by -3.8 games. All six key indicators (hold%, break%, Elo, game win%, form, consolidation) point to Shimabukuro being the favorite. Taking Landaluce -1.5 is equivalent to getting Shimabukuro at +1.5, which the model says covers 72% of the time vs market’s 51.5%. The 20.5 pp edge is enormous, suggesting either (1) market mispricing in low-liquidity qualifier, (2) undisclosed injury/motivation info favoring Landaluce, or (3) model error. Given HIGH data quality and perfect directional convergence, leaning toward (1). Stake 1.5 units but monitor for line movement or injury news.

Pass Conditions

• Totals: Pass if line moves to O/U 24.5 or higher (eliminates edge). Pass if odds drop below 2.00 (50% implied) on Over 23.5.
• Spread: Pass if Landaluce line moves to -2.5 or worse (reduces edge below threshold). Pass if Shimabukuro injury/withdrawal news emerges. Pass if odds drop below 1.75 (57% implied) on Landaluce -1.5.
• General: Pass if match is postponed/delayed significantly (fatigue impact unknown).

Confidence & Risk

Confidence Assessment

Confidence Rationale: Both markets show MEDIUM confidence despite different edge magnitudes. Totals has a clean 4.6 pp edge with good data and model-empirical alignment, but tiebreak uncertainty and three-set variance prevent HIGH confidence. Spread has a huge 20.5 pp edge with perfect indicator convergence, but the extreme market disagreement (Landaluce -1.5 vs model’s Shimabukuro -3.5) suggests either mispricing or hidden information. In qualifiers, low liquidity and sharp money absence can create mispricing. Given Shimabukuro’s superior hold%, break%, Elo, and consolidation, the model’s direction is well-supported. Stake spread higher (1.5 units) than totals (1.0 units) due to larger edge, but cap both at MEDIUM confidence pending match observation.

Variance Drivers

• Three-set probability (36%): If match goes three sets, totals compress toward 26-30 games (higher than straight-set 18-22), and spread compresses to Shimabukuro -2.8 (down from -4.2 in straights). This creates ~8-game swing in totals and ~1.5-game swing in spread.
• Tiebreak occurrence (22% for 1+, 8% for 2+): Each tiebreak adds 2 games to total and can swing spread by 1 game. Low TB sample sizes (5 each) make TB win% estimates uncertain (Shimabukuro 80%, Landaluce 60% unreliable with n=5).
• Landaluce’s low consolidation (76.2%): When Landaluce breaks, he only consolidates 76% of the time vs Shimabukuro’s 87%. This creates back-and-forth potential, increasing game count and tightening spread in volatile sets.

Data Limitations

• No H2H history: First meeting means no matchup-specific data. Relying entirely on individual stats vs tour average, not head-to-head dynamics.
• Small tiebreak samples (5 TBs each): Tiebreak win percentages (60% and 80%) are based on only 5 TBs per player, insufficient for reliable TB outcome modeling. Treating TB outcomes as 50-50 with slight clutch adjustments.
• Qualifier context: This is a qualifying match, not main draw. Player motivation, fatigue from prior qualifier rounds, and lower-quality data in some cases can affect reliability. However, both players have 69-70 matches in sample, suggesting good data quality.

Sources

1. api-tennis.com - Player statistics (PBP data, last 52 weeks, 69-70 matches per player), match odds (totals O/U 23.5, spreads Landaluce -1.5 via get_odds)
2. Jeff Sackmann’s Tennis Data - Elo ratings (Landaluce 1200, Shimabukuro 1293 overall and hard court)

Verification Checklist

• Quality & Form comparison table completed with analytical summary
• Hold/Break comparison table completed with analytical summary
• Pressure Performance tables completed with analytical summary
• Game distribution modeled (set scores, match structure, total games)
• Expected total games calculated with 95% CI (24.0, CI: 21-29)
• Expected game margin calculated with 95% CI (Shimabukuro -3.8, CI: -7 to -2)
• Totals Model Working shows step-by-step derivation with specific data points
• Totals Confidence Assessment explains level with edge (4.6 pp), data quality (HIGH), and alignment evidence
• Handicap Model Working shows step-by-step margin derivation with specific data points
• Handicap Confidence Assessment explains level with edge (20.5 pp), convergence (6/6), and risk (extreme market disagreement)
• Totals and spread lines compared to market
• Edge ≥ 2.5% for both recommendations (Totals: 4.6 pp, Spread: 20.5 pp)
• Each comparison section has Totals Impact + Spread Impact statements
• Confidence & Risk section completed
• NO moneyline analysis included
• All data shown in comparison format only (no individual profiles)