It took Fabiano Kovalski 92 starts to win the $10,000 GGMillion$ on GGPoker. Before his $464,794 victory, reported on October 28, 2026, he had played 91 of the weekly high rollers, reached 11 final tables and finished runner-up twice, according to PokerListings. If you only looked at the win column, you might think he was a perennial underperformer. Look at the final tables instead, and you see a player who has been doing nearly everything right. This article uses his record to explain tournament variance and what it means for your bankroll, whatever stakes you play. Our news report covers the final table itself.
What the Record Actually Says
Start with the facts reported by PokerListings and Spade Poker:
- 91 earlier attempts at the GGMillion$ without a win
- 11 final tables, including two runner-up finishes
- The winning event drew 237 entries against a $2 million guarantee, with a final prize pool of $2,308,900
- The nine-handed final table paid from $58,099 for ninth to $464,794 for first
Eleven final tables in 91 attempts is about 12%. In a field of roughly 237 entrants, a player with no edge would reach the nine-player final table about 3.8% of the time (nine out of 237). Kovalski's rate is roughly three times that, although the exact comparison depends on field sizes in each of the 91 events, which were not reported. Field sizes vary, so treat this as a rough illustration rather than a precise statistic. The point stands: his final-table frequency is far above what random chance would suggest.
Why Winning Is Rare Even for Elite Players
The Final Table Is a Lottery With Good Odds for the Best
Suppose that, once at a nine-handed final table, a player has a roughly average chance of winning, 1 in 9, or about 11%. This is a simplification, since stack sizes and skill differences matter, but it makes the arithmetic clear. Over 11 final tables, the expected number of wins is 11 divided by 9, or about 1.2. The chance of winning none of them is (8/9) to the power of 11, which is about 27%.
In other words, even with a perfectly average final-table record, going 0 for 11 happens more than a quarter of the time. Kovalski came into the win with two runner-up finishes, so his run was not remarkably unlucky. That is the first lesson: a long drought without a win is not strong evidence of weakness, especially in a winner-take-most structure.
The Payout Structure Concentrates Variance
Look at the payouts. First place was worth $464,794, second $358,405 and third $276,368. The top spot paid about 20% of the prize pool. For the three players ahead of ninth place the drop is gradual, but the difference between first and second was over $106,000. Because a big share of expected return lies in a few top finishes, results swing wildly. A player might cash for a modest sum 20 times in a row and then win a payout equal to years of small cashes.
Short-Run Results Are Noisy
For tournament players, the sample needed to estimate skill is huge. At $10,000, a few dozen results tell you almost nothing about your true ROI. Even over hundreds of events, confidence intervals around ROI estimates remain wide. This is why strong players rely on process metrics such as range construction, ICM decisions and exploitative adjustments rather than raw results.
Variance and Your Bankroll
If this is true at the top, it matters even more for players at lower stakes. A 91-attempt drought at $10,000 is a financial event; at $100 it is a dent. The principle is the same.
How Many Buy-Ins Do You Need?
There is no single answer, but most experienced tournament players keep far more buy-ins than cash-game players do, because of the high variance. Our bankroll management guide lays out ranges for different formats, and the key insight is that bigger fields and flatter structures demand larger rolls. A common approach for large-field tournaments is to hold well over 100 buy-ins, though preferences vary. Kovalski's record shows why: even a strong player can go 91 events without a win, and a modest ROI can be wiped out by a long losing streak.
Use Staking and Satellites to Manage Risk
One way to reduce variance is to sell shares of your action. Another is to qualify through satellites: GGMillion$ players can enter via $109 Step satellites, which lowers the cost per seat. The trade-off is that satellite winners pay less per entry but also face tougher variance in the satellite stage. Whether this suits you depends on your edge in satellites.
Set Stop-Loss Rules
Variance is emotionally difficult, and tilt can turn a manageable downswing into a disaster. Our explainer on what tilt is offers practical advice. Setting a maximum number of entries per week or a stop-loss per session can help you stay disciplined.
The Value of Final-Table Skill
Kovalski's final-table play offers a few lessons that apply at any level.
Chip position does not decide everything. He started the final table with the fifth-largest stack, behind chip leader Laszlo Bujtas. He took the lead by eliminating players at the right moments, including Bujtas, whom he beat after a five-bet shove with ace-king suited against king-queen offsuit and later with aces against ace-five.
Aggression matters, but so does selection. A five-bet shove with ace-king suited is a strong play in a short-stacked or semi-deep spot. It does not work every time. Knowing when your hand dominates your opponent's range is key. Use our equity explainer and odds calculator to study similar spots.
Pay attention to ICM. At a final table with large jumps, each elimination changes the value of your stack. Our ICM guide explains why a chip lead does not always translate directly into equity.
River decisions can decide titles. In the heads-up finish, Kovalski called a river shove with a made flush on a paired board with possible straights. Many players would worry about being beaten; a correct call there came from understanding how opponents construct their betting ranges. Our poker strategy page has more on river play.
Misreading Results
A common trap is to infer skill from a single result. Winning a big tournament does not mean your strategy is right, and a long drought does not mean it is wrong. It is easy to overreact: switching strategies after a bad run or doubling down after a win. A better approach:
- Track results by sample size. Do not draw conclusions from fewer than hundreds of events.
- Review hands, not outcomes. Study decisions with solver tools or coaching to find leaks.
- Separate luck from skill. If you got all-in with the best hand and lost, you made the right decision.
- Stay consistent. The edge appears over thousands of hands, not one event.
Our poker odds page is a good starting point for the probability concepts behind this.
Context: Kovalski's Season
This win follows a strong stretch for Kovalski. At EPT Barcelona he won the €3,250 Mystery Bounty for €385,430 and the €10,300 High Roller for €727,280 after a heads-up deal with Igor Picone, which lowered his payout from the scheduled €814,500. According to PokerNews, his live tournament earnings passed $4 million with that High Roller win. See our EPT Barcelona double report for more.
That combination, plenty of final tables and a few big wins, is exactly what a positive-ROI player's record looks like over time. The wins cluster unpredictably, which is why a drought can precede a burst of titles.
What This Means for Players
- Judge yourself by decisions and sample size. A single event tells you little.
- Size your bankroll for the variance of your format. Large-field tournaments need deeper rolls than cash games.
- Use satellites and staking sensibly. They can reduce risk but come with their own costs.
- Keep emotions in check. Droughts are normal; tilt is optional.
- Remember the goal. Long-term profit comes from edge, discipline and persistence.
If you want to play online tournaments, remember that availability depends on where you live. Our US poker sites guide and tournaments page can help you find suitable options, and our safe poker sites page covers vetting.
Final Thoughts
Kovalski's 92nd attempt was not a miracle; it was probability catching up to a player who had been performing well for a long time. The lesson is not to expect a title every few tries, but to build a game and a bankroll that can survive many tries. If you can do that, the results will eventually reflect the quality of your play. Until then, keep studying, keep showing up and keep your expectations realistic.
Calculations are simplified illustrations based on reported results and assume equal win chances for illustration only. Event data is from PokerListings, Spade Poker and PokerNews. Please gamble responsibly.