$ 50,000 + 3,000 No Limit Hold'em - 8-Handed (Event #7)

NLHE Tournament at Maestral Resort & Casino

May 18, 2024
Softness: 0.10

Entrants

159

Prize Pool

$7,771,900

1st Place Prize

$1,761,000

% of Field Paid

16.4%

Montenegro Triton Poker Super High Roller Series Montenegro
Series Softness:18%
$ 50,000 + 3,000 No Limit Hold'em - 8-Handed (Event #7)
Cashed Player Softness:10%
Extrapolated Field Softness:26%
Skill Gap:2.52%
Entrants:159
Average GPI:2698
Percent of field paid:16.4%
Player TierCashed %Full Field %ROI %EdgeProfit/Loss
Recreational
0.0%0.8%-92.3%0.10x-$49,847
Amateur
3.8%3.1%-87.7%0.16x-$47,362
Semi-Pro
3.8%6.5%-71.6%0.37x-$38,662
Professional
3.8%13.2%-49.4%0.66x-$26,649
Elite Pro
11.5%22.8%-23.3%1.00x-$12,565
World Class
19.2%28.2%5.1%1.37x+$2,762
Superstar
57.7%25.3%35.8%1.77x+$19,332
Comparison:Harder than 90% of tournaments at this buy-in
Analytics by HighStakeHealth

Understanding Our Field Analysis

Our field analysis uses a proprietary methodology that combines observed cashed players with series-level data to extrapolate the complete tournament field composition.

For this tournament, we have data on 16% of the field (players who cashed). We use this data, along with series trends and buy-in level characteristics, to model the likely skill distribution of the entire field.

Field Softness ranges from 0 to 1, with higher values indicating softer fields. Tournaments with softness above 0.6 offer excellent value, those between 0.5-0.6 are average, and those below 0.5 are considered tough fields.

Skill Gap measures the ratio between top and bottom quartile players, indicating how wide the skill disparity is within the field.

Our ROI Confidence rating of 68% indicates our level of certainty in the extrapolated metrics. Higher confidence comes from larger sample sizes and more complete data.

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ROI Analysis

Expected ROI by Skill LevelView on Hendon Mob
Projected return on investment for players across all skill tiers
ROI Confidence:
Player TierROI %
Edge
Buy-inExpected Return
Superstar35.8%1.77x$53,000$72,332
World Class5.1%1.37x$53,000$55,762
Elite Pro-23.3%1.00x$53,000$40,435
Professional-49.4%0.66x$53,000$26,351
Semi-Pro-71.6%0.37x$53,000$14,338
Amateur-87.7%0.16x$53,000$5,638
Recreational-92.3%0.10x$53,000$3,153

These ROI projections are calculated using our extrapolated field model and analysis of payout structures. ROI is shown both as a dollar amount and as a percentage of buy-in.

Edge Multipliers quantify how much advantage each skill tier has over the average player in this specific tournament. A multiplier of 1.0 represents break-even against the average field, while values above 1.0 indicate an advantage.

Our system takes into consideration

  1. Field softness:The overall skill level of the tournament field.
  2. Payout Variance:To determine how shallow the tournament structure is. Ie: high variance in payout = less skill advantage
  3. Distribution of bad players:The most complex part. Mimics natural tournament psychology. Common edge cases: Many bad players then the edge multiplier is lower to mimic less aggresive isolation plays. A few bad players then all stronger players have a higher edge multiplier against weaker players to mimic scarcity. No bad players then super strong players have more edge versus medium strength players to mimic advanced play.

Skill Tier Breakdown
Detailed analysis of each player tier in this tournament
Player Tier% of FieldGPI RangeEdgeExpected ROI
Superstar
25.3%2,500+
1.77x
35.8% ($19,332)
World Class
28.2%1,500-2,500
1.37x
5.1% ($2,762)
Elite Pro
22.8%1,000-1,500
1.00x
-23.3% ($-12,565)
Professional
13.2%650-1,000
0.66x
-49.4% ($-26,649)
Semi-Pro
6.5%400-650
0.37x
-71.6% ($-38,662)
Amateur
3.1%200-400
0.16x
-87.7% ($-47,362)
Recreational
0.8%0-200
0.10x
-92.3% ($-49,847)

Tournament Structure

Blind Levels
Blind structure and progression
No detailed blind structure available for this tournament.
Payout Structure
How the prize pool was distributed

Prize Distribution

1st Place:22.7% of prize pool
Top 3 Places:48.5% of prize pool
Percentage of Field Paid:16.4%

Structure Analysis

The payout structure was balanced with 22.7% to first place, providing good value across the final table.

With 16.4% of the field getting paid, this tournament offered a generous payout bubble, improving chances of cashing.

The payout variance of 1.03 indicates that this tournament has high variance, with results influenced significantly by luck alongside skill.

Tournament Results

Final PlacementsView on Hendon Mob
Final results for $ 50,000 + 3,000 No Limit Hold'em - 8-Handed (Event #7)
PlacePlayerCountryPrizeGPI Points
1stAdrian Mateos-1,761,000364.27
2ndJustin Saliba-1,188,000290.66
3rdJoe Zou-818,000251.97
4thNick Petrangelo-667,000227.02
5thBenjamin Tollerene-532,000209.27
6thPhil Ivey-408,000195.88
7thMikalai Vaskaboinikau-297,000185.36
8thDan Smith-215,000176.85
10thChristopher Brewer-151,000163.89
11thBrian Kim-151,000158.82
12thArtur Martirosyan-132,000154.44
13thSirzat Hissou-132,000150.60
14thWai Kiat Lee-119,200147.22
15thDaniel Tang-119,200144.22
16thMaher Nouira-107,000141.53
17thEng Ewe-107,000139.11
18thAram Sargsyan-95,000136.92
19thWiktor Malinowski-95,000134.93

Advanced Metrics

Complete Tournament Analysis
Comprehensive breakdown of all tournament performance factors

Field Composition

Average GPI:2698
Observed Field Softness:0.14
Extrapolated Field Softness:0.26
Recreational Index:0.8%
Observed Skill Gap:2.5
Estimated Skill Gap:2.5
Buy-In Value Rating:0.00
Field Completeness:16%
ROI Confidence:68%

Tournament Structure

First Place %:22.7%
Top 3 Places %:48.5%
% of Field Paid:16.4%
Placement Variance:0.05
Payout Variance:1.03
Re-entry Type:Unlimited
Tournament Days:1
Players Per Table:9
Buy-in Amount:$50,000

Event Details

Format:NLHE
Registration Fee:$3,000
Starting Chips:10,000
Late Registration:Yes
Late Reg Until:Level 8
Total Entrants:159
Prize Pool:$7,771,900
Withholding:$655,100

Metrics Explanation

Extrapolated Field Softness
Calculated using our proprietary model combining observed cashed players with series-level data to estimate the entire field composition.
Buy-In Value Rating
Field softness adjusted for buy-in level. Higher values represent better value for your investment.
Payout Variance
Measures correlation between player skill and final placement. Lower values indicate skill is more reliably rewarded.
ROI Confidence
Our confidence level in ROI projections, based on sample size, field completeness, and data quality.
Field Completeness
Percentage of the tournament field for which we have direct data, affecting model accuracy.
Tier Edge Multipliers
How much advantage each player tier has in this specific tournament structure and field composition.

Related Resources

Series Information

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Venue Details

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