Tomas — CS2 Stats

76561198162558296[U:1:202292568]

1,087Tracked matches54%Win rate2020Tracked since
CSDB Rating6.4 SolidPassive Rifler
FaceitLevel 10 · 2,806 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTomasFACEITLevel 10 · 2,806 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning44
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY58375Last 10058%Win rateWLWLWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.3
Aggression3.5
Utility5.5
Positioning4.4
Opening Duels0.7
Clutch4.0

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-fight frequency; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.3
Positioning4.4
Utility5.5
Mechanics9.0
Opening Duels1.5
Win Impact6.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time575ms−58ms
first ⅓ avg 634ms → last ⅓ avg 575ms
Headshot accuracy18.2%+0.3%
first ⅓ avg 17.9% → last ⅓ avg 18.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — ancient 13–11
131Biggest win — mirage
8Longest win streak
85In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 63% over 35infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA35221363%0.02
dust2B30161453%0.00
nukeB137654%0.01
ancientA106460%0.01
infernoD62433%-0.03
anubis32167%0.03
overpass220100%0.04
cache110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,510Matches
52%Win rate
1.07Avg K/D
81.1ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11754%1.0416.4
Dust28757%1.1015.8
Inferno3250%1.1016.0
Nuke3053%1.1015.5
Anubis1429%0.9516.6
Ancient1010%0.9516.7
Train862%1.2220.3
Overpass1100%0.7710.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.3%Headshot accuracy
35.8%Accuracy (enemy spotted)
42.0%Spray accuracy
90.4%Counter-strafing
9.1°Preaim
576msReaction time
23.4%T opening success
42.2%CT opening success
0.57Enemies flashed / flash
7.7%Flash assists
8.73HE damage / grenade
8.08Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.448% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–100.0620%29 Aug
mirage6–13-0.0619%29 Aug
cache13–90.0522%25 Jul
ancient9–13-0.0320%28 Jun
mirage13–100.0113%28 Jun
dust213–40.1023%27 Jun
dust213–80.018%27 Jun
ancient10–130.0221%27 Jun
ancient4–130.0120%20 Jun
dust25–13-0.0821%10 Jun
ancient13–30.0522%10 Jun
dust213–90.0422%10 Jun
dust213–20.0917%10 Jun
dust211–130.0210%10 Jun
dust213–7-0.009%7 Jun
inferno4–13-0.049%7 Jun
mirage15–15-0.038%7 Jun
dust20–13-0.0717%7 Jun
inferno15–150.0020%7 Jun
dust25–13-0.0227%7 Jun
nuke9–13-0.0711%7 Jun
dust27–130.0622%17 May
overpass13–7-0.0120%24 Apr
anubis9–13-0.0210%11 Apr
dust213–30.0212%28 Mar
dust213–9-0.0929%8 Mar
inferno22–19-0.0218%7 Mar
dust213–11-0.0327%7 Mar
inferno13–9-0.0334%22 Feb
mirage11–13-0.0321%21 Feb
mirage10–60.0716%21 Feb
mirage13–90.0122%17 Feb
nuke13–80.0211%17 Feb
mirage13–110.0616%17 Feb
nuke16–140.0119%17 Feb
mirage13–60.0215%13 Feb
mirage13–80.0215%13 Feb
anubis13–70.0122%8 Feb
mirage9–130.0324%8 Feb
mirage8–13-0.0117%6 Feb
mirage6–13-0.0610%6 Feb
dust215–150.0128%3 Feb
ancient13–10-0.0321%1 Feb
mirage13–70.0211%1 Feb
mirage13–10.0016%1 Feb
mirage13–6-0.0113%1 Feb
mirage13–160.0417%27 Jan
dust213–7-0.0216%25 Jan
ancient13–90.0126%25 Jan
inferno6–130.0315%25 Jan
mirage8–13-0.0119%25 Jan
ancient13–110.1022%24 Jan
dust213–4-0.009%24 Jan
mirage14–160.0113%24 Jan
dust26–13-0.0519%23 Jan
mirage13–80.0614%22 Jan
anubis13–80.0819%22 Jan
mirage9–30.0713%17 Jan
dust213–80.0528%17 Jan
dust29–13-0.069%17 Jan
mirage13–100.0616%15 Jan
dust211–13-0.0112%15 Jan
mirage11–130.0115%15 Jan
nuke9–130.0511%14 Jan
mirage13–90.0417%13 Jan
dust215–150.0317%13 Jan
dust213–90.1021%11 Jan
mirage6–13-0.0223%11 Jan
nuke13–60.0116%11 Jan
nuke10–130.0623%10 Jan
mirage16–140.0315%9 Jan
mirage13–9-0.0123%9 Jan
mirage13–90.0111%6 Jan
mirage13–80.0215%6 Jan
mirage15–150.0220%5 Jan
dust213–10-0.0022%4 Jan
inferno1–13-0.1322%4 Jan
ancient13–10-0.0317%4 Jan
dust213–80.0215%4 Jan
dust210–130.0116%4 Jan
mirage13–80.068%4 Jan
dust23–13-0.0215%3 Jan
nuke3–13-0.0023%3 Jan
mirage13–100.0717%3 Jan
dust213–40.0218%3 Jan
mirage6–13-0.0522%2 Jan
dust213–70.0015%1 Jan
dust28–130.0410%1 Jan
ancient13–11-0.0313%1 Jan
nuke16–13-0.0116%1 Jan
nuke13–110.0318%27 Dec
nuke10–130.0820%27 Dec
overpass13–70.0825%23 Dec
nuke13–60.0525%23 Dec
dust29–13-0.0212%14 Dec
mirage13–90.0626%14 Dec
mirage13–11-0.0513%14 Dec
nuke13–9-0.0618%14 Dec
nuke6–13-0.0121%14 Dec
ancient9–130.0315%12 Dec

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →