PERCEPTIBLE7 Tays291213 ffab89 widjb BDeChambeau MickBrick16
No data found for that player name . Did you select the correct poker network?
Player(s) Found:

Screen Names

tomoamber
tomoamber's picture
  • Games Played: 131
  • Total Winnings: $682.40
  • Avg. Buy-In: $16.06
  • Biggest Buy-in: $50.00
  • ITM %: 16.79
  • Total Profit: -$1,422.00
  • Average Profit: -$10.85
  • Average ROI %: -67.57

Poker Wall

tomoamber

  		Get Player Link
Real Name:
Location:
Gender:
Age:
BIO:
Results by # Games Played
Get Player Graph Link
Results by Date (Line)
Get Player Graph Link
Statistics and Graphs on Tables >> Download Super HUD >>

Favourites

Game Games Played Average Profit Average ROI % Total Profit Buy-In ITM % Wins/Loses
€5000 Phoenix 13 -$14.75 -73.75 -$191.74 $20.00 7.69 1/12
€1,000 GTD Rebuy 11 -$5.00 -100 -$55.00 $5.00 0 0/11
€5000 Special One 11 -$5.90 -59.05 -$64.95 $10.00 27.27 3/8
€4000 Brawl 8 -$15.48 -77.39 -$123.82 $20.00 12.5 1/7
€2000 Starter 7 -$4.19 -41.94 -$29.36 $10.00 28.57 2/5

Recent Large Cashes

Started Tournament Buy-In+Fee Rank Prize
11/17/2010 $25,000 GP Rebuy $50.00+$5.00 3/212 $2,755.00
06/20/2012 $10,000 GP Freezeout $50.00+$5.00 3/258 $1,457.70
01/14/2015 €10,000 Gtd Phoenix €18.20+€1.80 3/270 €1,454.01
01/28/2012 $10,000 GP Freezeout $50.00+$5.00 3/251 $1,418.15
07/07/2019 €8000 Special One €9.10+€0.90 1/595 €1,185.35

Last 10 Poker Tournaments

Ended Tournament Buy-In+Fee Rank Prize
12/20/2017 €5000 Phoenix €18.20+€1.80 98/154 €0.00
12/20/2017 €1000 Deep €4.55+€0.45 53/214 €0.00
12/18/2017 €500 Deepstack Turbo €4.55+€0.45 202/179 €0.00
12/18/2017 €500 GTD Knock-out €4.50+€1.00 46/107 €0.00
12/18/2017 €1,000 GTD Rebuy €4.55+€0.45 80/138 €0.00
12/18/2017 €500 Deepstack Turbo €4.55+€0.45 24/101 €5.90
12/18/2017 €1,000 GTD Rebuy €4.55+€0.45 51/127 €0.00
12/17/2017 €10000 Special One €9.10+€0.90 72/669 €19.00
12/17/2017 €3000 Starter €9.10+€0.90 80/305 €0.00
12/17/2017 €300 Guaranteed €4.55+€0.45 71/121 €0.00
Upgrade
Copyright © 2024 Poker Pro Labs, Inc. All Rights Reserved.
Rendering Time 0.0s