tomk

tomk — CS2 Stats

EE76561198242805588[U:1:282539860]Steam profile ↗✓ No bans

2,364Tracked matches47%Win rate2020Tracked since
CSDB Rating7.9 StrongPositional Player
Premier CS Rating26,399Top 10% of 208,919 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#10297 of 256236 tracked
FaceitLevel 10 · 2,246 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,364 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,399 +0 19 Sept – 5 Oct · 4 observations
26,39926,399peak 26,39919 Sept5 Oct
Faceit ELO: 2,246 +0 19 Sept – 5 Oct · 4 observations
2,2462,246peak 2,24619 Sept5 Oct
26,399Peak Premier on CSDB
2,246Highest Faceit ELO seen on CSDB
24Days played since 2026-08-01

Faceit ELO

  • At peak — 2,246
  • Next: 2,500 ELO at 2,500 — 254 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-19
  • Level 9 first seen 2026-09-19

Premier CS Rating

  • At peak — 26,399
  • Next: Gold band at 30,000 — 3,601 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-19
  • Pink band first seen 2026-09-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGtomkFACEITLevel 10 · 2,246 ELOSTANDINGTop 12.4% of rankedPREMIER26,399 · Red bandPEAK ELO2,246csdb.gg/stats

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Performance scores

Aim91
Positioning75
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLLWLLWWLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · −28ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 522ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 497ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim9.1
Utility5.5
Positioning7.5
Opening Duels6.5
Clutch4.0

Sharp aimer

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 94% playstyle similarity

Most alike: opening-duel success, aim profile.

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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.1
Positioning7.5
Utility5.5
Mechanics8.4
Opening Duels8.1
Win Impact3.9

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time504ms−16ms
first ⅓ avg 520ms → last ⅓ avg 504ms
Headshot accuracy19.0%+0.2%
first ⅓ avg 18.8% → last ⅓ avg 19.0%

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.

Personal bests

0.17Best match rating · 13–8 · mirage, 17 Sept →
35%Best headshot accuracy · 16–13 · dust2, 22 Aug →
359msFastest reaction time · 9–13 · mirage, 3 Sept →
13–2Biggest win · nuke, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
20Overtime games

Map breakdown

dust2Best map · 59% over 27infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2716–1159%0.03
mirageC2510–1540%0.03
infernoD155–1033%0.01
nukeA116–555%0.04
anubisC83–538%0.01
ancientD62–433%-0.02
cache—42–250%0.07
vertigo—42–250%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,580Matches
51%Win rate
1.23Avg K/D
93.6ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
28%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage19348%1.2719.3
Dust213857%1.4020.3
Inferno13160%1.4920.5
Nuke9845%1.3219.6
Anubis9447%1.2517.8
Overpass7662%1.4019.4
Ancient5852%1.1917.4
Train2040%1.3019.1

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.

18.8%Headshot accuracy
39.4%Accuracy (enemy spotted)
39.2%Spray accuracy
87.9%Counter-strafing
7.6°Preaim
500msReaction time
64.5%T opening success
60.1%CT opening success
0.57Enemies flashed / flash
10.3%Flash assists
9.17HE damage / grenade
7.12Flashes / match

Recommended for you

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.055%27 Sept →
inferno10–130.0120%27 Sept →
mirage13–70.1520%27 Sept →
cache17–190.0714%27 Sept →
dust210–13-0.0323%25 Sept →
mirage13–80.0416%25 Sept →
inferno13–80.0310%25 Sept →
dust212–16-0.0231%24 Sept →
ancient12–16-0.0119%24 Sept →
dust225–230.0217%24 Sept →
nuke13–20.048%24 Sept →
dust29–13-0.0519%24 Sept →
ancient10–13-0.0127%24 Sept →
mirage9–130.0316%24 Sept →
dust213–110.0517%23 Sept →
dust213–70.1222%23 Sept →
nuke16–120.078%23 Sept →
mirage11–130.0227%21 Sept →
dust213–80.0728%21 Sept →
mirage7–13-0.0018%21 Sept →
mirage13–80.1719%17 Sept →
vertigo11–130.0916%17 Sept →
mirage13–110.0919%17 Sept →
dust213–100.0117%17 Sept →
cache7–130.0623%17 Sept →
dust213–70.0014%16 Sept →
mirage17–190.0725%16 Sept →
mirage13–100.0520%16 Sept →
nuke9–130.0522%16 Sept →
inferno4–13-0.0717%16 Sept →
dust24–130.0029%16 Sept →
inferno9–130.0025%16 Sept →
mirage7–130.0317%16 Sept →
inferno10–130.0313%15 Sept →
nuke1–13-0.0815%15 Sept →
dust213–40.0520%15 Sept →
mirage9–13-0.0726%7 Sept →
cache13–100.0825%7 Sept →
dust219–170.0923%7 Sept →
mirage6–130.0831%6 Sept →
inferno13–100.1026%6 Sept →
mirage8–130.0114%6 Sept →
nuke13–90.0818%6 Sept →
dust222–18-0.0313%6 Sept →
inferno7–13-0.0413%3 Sept →
inferno10–13-0.0420%3 Sept →
dust27–130.0410%3 Sept →
mirage9–130.0518%3 Sept →
dust213–90.0210%3 Sept →
inferno13–9-0.0321%3 Sept →
mirage13–10-0.0413%3 Sept →
mirage8–130.0218%3 Sept →
nuke5–130.0317%3 Sept →
vertigo9–130.0020%3 Sept →
dust210–130.0329%3 Sept →
mirage19–160.0318%3 Sept →
ancient13–50.0320%2 Sept →
mirage13–110.1028%2 Sept →
anubis12–160.0713%1 Sept →
dust210–130.0625%1 Sept →
mirage11–130.0423%1 Sept →
nuke13–90.1418%1 Sept →
dust211–130.0820%1 Sept →
mirage8–130.0019%30 Aug →
nuke11–130.0323%30 Aug →
dust222–20-0.0326%30 Aug →
mirage13–100.0820%27 Aug →
ancient13–80.0720%27 Aug →
inferno11–130.0326%27 Aug →
dust219–150.1421%24 Aug →
vertigo13–30.1519%24 Aug →
inferno8–130.0514%24 Aug →
dust220–220.0328%23 Aug →
dust216–13-0.0435%22 Aug →
mirage9–13-0.069%22 Aug →
anubis10–13-0.0320%22 Aug →
anubis6–13-0.0016%22 Aug →
dust213–70.0415%21 Aug →
inferno9–130.0115%21 Aug →
anubis5–13-0.0512%21 Aug →
anubis13–110.0620%21 Aug →
inferno13–60.0423%21 Aug →
anubis2–13-0.0711%21 Aug →
ancient4–13-0.165%21 Aug →
inferno19–16-0.0219%20 Aug →
dust27–13-0.0423%20 Aug →
mirage16–14-0.0619%20 Aug →
ancient4–13-0.0614%20 Aug →
anubis13–80.0120%8 Aug →
nuke13–80.1021%8 Aug →
dust213–30.0715%8 Aug →
cache16–140.0814%7 Aug →
anubis13–70.1320%7 Aug →
mirage6–13-0.0118%7 Aug →
vertigo16–140.0827%7 Aug →
nuke13–60.0822%5 Aug →
mirage16–19-0.0025%5 Aug →
inferno13–160.0016%5 Aug →
dust23–13-0.0519%1 Aug →
dust213–70.1622%1 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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