Vekic D. vs Andreeva M.
Match & Event
| Field |
Value |
| Tournament / Tier |
Australian Open / Grand Slam |
| Round / Court / Time |
R64 / TBA / 08:00 UTC |
| Format |
Best of 3, Standard Tiebreak |
| Surface / Pace |
Hard / Medium-Fast |
| Conditions |
Outdoor, Melbourne (Summer) |
Executive Summary
Totals
| Metric |
Value |
| Model Fair Line |
20.1 games (95% CI: 16-24) |
| Market Line |
O/U 18.5 |
| Lean |
PASS |
| Edge |
0.0 pp |
| Confidence |
PASS |
| Stake |
0.0 units |
Game Spread
| Metric |
Value |
| Model Fair Line |
Andreeva M. -2.8 games (95% CI: -6 to +1) |
| Market Line |
Andreeva M. -5.5 |
| Lean |
PASS |
| Edge |
0.0 pp |
| Confidence |
PASS |
| Stake |
0.0 units |
Key Risks: CRITICAL DATA QUALITY ISSUE - Player names mismatched between odds and stats. Market shows Andreeva as favorite (-5.5 spread) but stats indicate Vekic is the stronger player (Elo 1771 vs 1531, rank #70 vs #272). Andreeva’s recent form shows 0-10 in last 10 matches. This suggests either wrong player matched or corrupted data. PASS REQUIRED.
Vekic D. - Complete Profile
| Metric |
Value |
Percentile |
| WTA Rank |
#70 (Elo: 1771 points) |
- |
| Career High |
Unknown |
- |
| Recent Form |
8-1 (Last 9 analyzed) |
- |
| Win % (Last 12m) |
39.1% (9-14) |
- |
| Win % (L52W) |
39.1% (9-14) |
- |
| Metric |
Value |
Percentile |
| Win % on Surface |
39.1% (9-14) |
- |
| Avg Total Games |
20.9 games/match |
- |
| Breaks Per Match |
3.97 breaks |
- |
Hold/Break Analysis
| Category |
Stat |
Value |
Percentile |
| Hold % |
Service Games Held |
60.3% |
- |
| Break % |
Return Games Won |
33.1% |
- |
| Tiebreak |
TB Frequency |
26.1% |
- |
| |
TB Win Rate |
33.3% (n=6) |
- |
Game Distribution Metrics
| Metric |
Value |
Context |
| Avg Total Games |
20.9 |
Last 52 weeks |
| Avg Games Won |
9.7 per match |
Below 50% win rate |
| Avg Games Lost |
11.2 per match |
- |
| Game Win % |
46.6% |
Struggling on games |
Serve Statistics
| Metric |
Value |
Percentile |
| Aces/Match |
5.2% of points |
- |
| Double Faults/Match |
8.2% of points |
- |
| 1st Serve In % |
53.7% |
Poor |
| 1st Serve Won % |
66.0% |
- |
| 2nd Serve Won % |
40.2% |
Weak |
| SPW |
54.1% |
- |
Return Statistics
| Metric |
Value |
Percentile |
| RPW |
42.9% |
- |
Physical & Context
| Factor |
Value |
| WTA Rank |
#70 |
| Elo Rating |
1771 (Overall), 1721 (Hard) |
| Form Trend |
Declining |
| Dominance Ratio |
0.93 (slightly negative) |
| Three-Set % |
22.2% |
Andreeva M. - Complete Profile
| Metric |
Value |
Percentile |
| WTA Rank |
#272 (Elo: 1531 points) |
- |
| Career High |
Unknown |
- |
| Recent Form |
0-10 (Last 10 analyzed) |
- |
| Win % (Last 12m) |
20.0% (1-4) |
- |
| Win % (L52W) |
20.0% (1-4) |
- |
WARNING: 0-10 recent form suggests player in severe decline or data quality issue
| Metric |
Value |
Percentile |
| Win % on Surface |
20.0% (1-4) |
- |
| Avg Total Games |
23.8 games/match |
- |
| Breaks Per Match |
2.95 breaks |
- |
Hold/Break Analysis
| Category |
Stat |
Value |
Percentile |
| Hold % |
Service Games Held |
56.9% |
- |
| Break % |
Return Games Won |
24.6% |
- |
| Tiebreak |
TB Frequency |
80.0% |
- |
| |
TB Win Rate |
75.0% (n=4) |
- |
Game Distribution Metrics
| Metric |
Value |
Context |
| Avg Total Games |
23.8 |
Very small sample (5 matches) |
| Avg Games Won |
10.2 per match |
- |
| Avg Games Lost |
13.6 per match |
- |
| Game Win % |
42.9% |
Poor conversion |
Serve Statistics
| Metric |
Value |
Percentile |
| Aces/Match |
1.5% of points |
Low |
| Double Faults/Match |
3.4% of points |
- |
| 1st Serve In % |
56.2% |
- |
| 1st Serve Won % |
58.8% |
Weak |
| 2nd Serve Won % |
50.6% |
- |
| SPW |
55.2% |
- |
Return Statistics
| Metric |
Value |
Percentile |
| RPW |
39.2% |
Weak |
Physical & Context
| Factor |
Value |
| WTA Rank |
#272 |
| Elo Rating |
1531 (Overall), 1532 (Hard) |
| Form Trend |
Improving (from very low base) |
| Dominance Ratio |
0.87 (negative) |
| Three-Set % |
10.0% |
CRITICAL DATA QUALITY FLAG: Only 5 matches in last 52 weeks at tour level. Most recent matches are W75/W50/W35 level, not WTA tour level. This player appears to be primarily competing at lower-tier events.
Matchup Quality Assessment
Elo Comparison
| Metric |
Vekic D. |
Andreeva M. |
Differential |
| Overall Elo |
1771 (#71) |
1531 (#217) |
+240 (Vekic) |
| Hard Elo |
1721 (#68) |
1532 (#183) |
+189 (Vekic) |
Quality Rating: LOW (both players <2000 Elo, Andreeva significantly lower)
Elo Edge: Vekic by +240 points (Overall), +189 points (Hard)
- Significant gap (>200 overall) suggests Vekic should be favored
- CONTRADICTION: Market has Andreeva as -5.5 favorite despite 240 Elo disadvantage
| Player |
Last 10 |
Trend |
Avg DR |
3-Set% |
Avg Games |
| Vekic D. |
8-1 |
declining |
1.00 |
22.2% |
20.0 |
| Andreeva M. |
0-10 |
improving |
1.50 |
10.0% |
17.6 |
Form Indicators:
- Dominance Ratio (DR): Vekic 1.00 = balanced, Andreeva 1.50 = data anomaly (0-10 record but high DR suggests lower-tier opponents)
- Three-Set Frequency: Vekic 22.2% = decisive results, Andreeva 10.0% = very small sample
Form Advantage: CONTRADICTORY DATA
- Vekic: 8-1 recent record but “declining” trend (likely due to tougher opposition)
- Andreeva: 0-10 recent record but “improving” trend (playing mostly W75/W50 events, not tour-level)
CRITICAL ISSUE: The recent match data for Andreeva shows only challenger/ITF events (W75 Fujairah, W50 Funchal, W35 Faro, W75 Hamburg). This is NOT WTA tour-level tennis. The player in the briefing may be the wrong “Andreeva M.”
DATA QUALITY CRITICAL FAILURE
Issues Identified
- Player Mismatch:
- Market odds show “M. Andreeva” as -5.5 game favorite
- Stats show “Erika Andreeva” ranked #272 with 0-10 form
- LIKELY ISSUE: There are multiple Andreeva players on tour. The stats may be for Erika Andreeva while the match is against Mirra Andreeva (different player, much higher ranked)
- Tour Level Discrepancy:
- Andreeva stats show only 5 tour-level matches in L52W
- Recent matches are W75, W50, W35 (challenger/ITF level)
- This does NOT match a player competing in Australian Open R64
- Market Contradiction:
- Vekic: Elo 1771, Rank #70, 8-1 form
- Andreeva (in stats): Elo 1531, Rank #272, 0-10 form
- Market has Andreeva -5.5, which makes NO SENSE if stats are correct
- Expected Player:
- Mirra Andreeva is a highly-ranked WTA player (typically Top 20-30)
- Erika Andreeva (in briefing stats) is her sister, lower-ranked (#272)
- Australian Open R64 match against Vekic (#70) is likely vs Mirra, not Erika
Data Quality Assessment
| Component |
Status |
Notes |
| Player 1 Stats (Vekic) |
✓ Valid |
Matches WTA #70, reasonable tour-level data |
| Player 2 Stats (Andreeva) |
✗ INVALID |
Wrong player - Erika vs Mirra mismatch |
| Odds Data |
✓ Valid |
Market odds likely correct for Mirra Andreeva |
| Overall Completeness |
✗ CRITICAL FAILURE |
Cannot analyze with wrong player data |
Analysis Unavailable - Data Integrity Failure
Due to the critical player mismatch issue, the following sections CANNOT be completed reliably:
- ✗ Clutch Performance (wrong player data)
- ✗ Set Closure Patterns (wrong player data)
- ✗ Playing Style Analysis (wrong player data)
- ✗ Game Distribution Analysis (wrong player data)
- ✗ Totals Analysis (invalid inputs)
- ✗ Handicap Analysis (invalid inputs)
- ✗ Market Comparison (comparing wrong players)
- ✗ Recommendations (cannot recommend with bad data)
Attempted Model Output (For Diagnostic Purposes Only)
Using Briefing Data As-Is (Invalid)
Vekic D.:
- Hold: 60.3%, Break: 33.1%
- Elo: 1771
Andreeva M. (WRONG PLAYER - Erika):
- Hold: 56.9%, Break: 24.6%
- Elo: 1531
Expected Outcome (if stats were correct):
- Vekic should win most matches
- Expected margin: Vekic -3 to -4 games
- Expected total: ~20 games (both poor hold rates)
- Market shows Andreeva -5.5 and total 18.5
Contradiction:
- Model (using Erika stats): Vekic favored by 3-4 games
- Market: Andreeva favored by 5.5 games
- Gap: ~9 games differential = DATA MISMATCH
Recommendations
Totals Recommendation
| Field |
Value |
| Market |
Total Games |
| Selection |
PASS |
| Target Price |
N/A |
| Edge |
0.0 pp |
| Confidence |
PASS |
| Stake |
0.0 units |
Rationale: Cannot calculate fair value with player mismatch. Stats are for Erika Andreeva (#272, 0-10 form, challenger-level) but match is likely vs Mirra Andreeva (Top 30 player). Market line of 18.5 suggests Mirra (dominant favorite, low total expected). Stats in briefing cannot be used.
Game Spread Recommendation
| Field |
Value |
| Market |
Game Handicap |
| Selection |
PASS |
| Target Price |
N/A |
| Edge |
0.0 pp |
| Confidence |
PASS |
| Stake |
0.0 units |
Rationale: Market has Andreeva -5.5, which aligns with Mirra Andreeva (Top 30) beating Vekic (#70) in straight sets by ~5-6 games. Stats show Erika Andreeva (#272) who would be +5.5 underdog. Cannot analyze without correct player data.
Pass Conditions
- IMMEDIATE PASS: Player data mismatch detected
- IMMEDIATE PASS: Opponent stats are for wrong player (Erika vs Mirra Andreeva)
- IMMEDIATE PASS: Cannot validate market lines without correct player statistics
- IMMEDIATE PASS: Data quality = CRITICAL FAILURE
Confidence Calculation
Base Confidence (from edge size)
Base Confidence: PASS (data quality failure)
Adjustments Applied
| Factor |
Assessment |
Adjustment |
Applied |
| Data Quality |
CRITICAL FAILURE |
N/A |
Yes - PASS |
| Player Mismatch |
Detected |
N/A |
Yes - PASS |
| Form Trend |
N/A (wrong player) |
N/A |
N/A |
| Elo Gap |
N/A (wrong player) |
N/A |
N/A |
Adjustment Calculation:
Data Quality: CRITICAL FAILURE
- Player 2 stats are for Erika Andreeva (#272)
- Match is likely vs Mirra Andreeva (Top 30)
- Cannot proceed with analysis
Final Decision: PASS REQUIRED
Final Confidence
| Metric |
Value |
| Base Level |
PASS |
| Net Adjustment |
N/A |
| Final Confidence |
PASS |
| Confidence Justification |
Critical data quality failure due to player mismatch. Stats are for wrong Andreeva player (Erika vs Mirra). Cannot generate valid totals or spread analysis without correct opponent data. |
Key Risk Factors:
- Player mismatch: Stats show Erika Andreeva (#272, 0-10 form) but match likely vs Mirra Andreeva (Top 30)
- Data integrity failure makes all modeling unreliable
- Market odds contradict stats (Andreeva -5.5 vs stats showing Vekic as stronger player)
Risk & Unknowns
Critical Issues
- PLAYER MISMATCH:
- Stats collected for “Erika Andreeva” (Mirra’s sister, #272 WTA)
- Match is likely “Mirra Andreeva” (Top 30 WTA player)
- ACTION REQUIRED: Verify which Andreeva is playing and recollect stats
- Data Collection Error:
- Scraper may have matched wrong player ID
- “Andreeva M.” could be Mirra OR could be middle initial matching Erika
- TennisAbstract may have returned wrong player
- Market Validity:
- Assuming Mirra Andreeva (#20-30 range):
- Andreeva -5.5 vs Vekic (#70) = reasonable
- Total 18.5 = reasonable for dominant straight-sets win
- This supports Mirra, NOT Erika
Recommended Actions
- VERIFY PLAYER: Check Australian Open draw to confirm which Andreeva
- RECOLLECT STATS: If Mirra Andreeva, recollect her statistics
- RERUN ANALYSIS: Generate new report with correct player data
- DO NOT BET: Until player identity confirmed and stats validated
Sources
- TennisAbstract.com - Statistics collected but for WRONG PLAYER (Erika Andreeva)
- Data completeness: HIGH for wrong player
- Data accuracy: INVALID for this match
- Sportsbet.io (via Sportify/NetBet) - Match odds appear valid for Mirra Andreeva
- Totals: 18.5 (Over 1.77, Under 2.00)
- Spread: Andreeva -5.5 (Dog 2.02, Fav 1.75)
- Moneyline: Andreeva 1.13, Vekic 5.60
- Data Collection Issue: Player matching error in briefing generation
Verification Checklist
Core Statistics
Enhanced Analysis
FINAL VERDICT
PASS on all markets due to CRITICAL DATA QUALITY FAILURE.
The briefing contains statistics for Erika Andreeva (#272 WTA, 0-10 recent form, playing W75/W50 events), but the Australian Open match is almost certainly against Mirra Andreeva (Top 20-30 WTA player).
Evidence:
- Market: Andreeva -5.5 favorite, 1.13 moneyline
- Stats: Andreeva #272, Elo 1531, 0-10 form
- Contradiction: Rank #272 player would NOT be -5.5 vs #70 player
Required Action: Recollect stats for correct Andreeva player before analysis possible.
DO NOT BET on this match using current data.