tomyk — CS2 Stats

76561198114884684[U:1:154618956]✓ No bans

504Tracked matches37%Win rate2020Tracked since
3,820Hours in CS9Hrs last 2 wks
CSDB Rating5.0 DevelopingPassive Rifler
Premier CS Rating19,115Purple band · top ~12% of ranked players (population est.)
CSDB Leaderboard#9218 of 18871 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate46.7%48.1%1.4% short
Shot accuracy16.7%12.9%above
Kill/death ratio1.141.08above
Match win rate45.5%46.5%1.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtomykPREMIER19,115 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning41
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateWLWLWLWWLL

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8
Aggression3.7
Utility4.8
Positioning4.1
Opening Duels0.1
Clutch4.2

Strong 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: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim7.8
Positioning4.1
Utility4.8
Mechanics6.2
Opening Duels1.5
Win Impact0.6

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time613ms−34ms
first ⅓ avg 647ms → last ⅓ avg 613ms
Headshot accuracy30.7%+4.4%
first ⅓ avg 26.3% → last ⅓ avg 30.7%

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

0.11Best rating — mirage 13–2
130Biggest win — anubis
5Longest win streak
76In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA28171161%0.01
cacheB26141254%0.01
dust2C125742%-0.03
anubisB105550%-0.02
nukeS86275%-0.01
infernoD82625%-0.02
ancientD62433%-0.04
vertigo110100%-0.01
train1010%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,969Lifetime kills
1.14K/D · Top 50% of tracked players
4,389Matches
45.5%Match win rate
46.7%Headshot % · Top 50% of tracked players
16.7%Shot accuracy · Top 25% of tracked players
13,612MVPs
2,224Hours (in match)
2,875Bombs planted
1,004Bombs defused

Most-used weapons

AK-4736,210
AWP15,008
P2501,803
P901,742
UMP-451,723

Lifetime map wins

7,142dust2
3,964inferno
1,634nuke
1,127cbble
985train
448vertigo
287office
115italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

157Matches
54%Win rate
1.27Avg K/D
82.6ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
9%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1937%0.9618.3
Dust21164%1.2116.4
Anubis1060%1.4520.2
Ancient450%0.8413.0
Inferno20%1.2120.5
Nuke250%1.3814.0
Cache1100%2.1217.0

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.

30.1%Headshot accuracy
32.0%Accuracy (enemy spotted)
35.6%Spray accuracy
78.1%Counter-strafing
9.6°Preaim
595msReaction time
19.3%T opening success
41.7%CT opening success
0.50Enemies flashed / flash
6.2%Flash assists
7.46HE damage / grenade
8.86Flashes / 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 19.3419% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0027%28 Aug
dust27–13-0.0467%27 Aug
mirage13–9-0.0331%25 Aug
mirage2–13-0.0220%25 Aug
anubis13–80.0238%24 Aug
cache3–10-0.0538%24 Aug
cache13–110.0229%24 Aug
dust213–6-0.0444%21 Aug
cache6–13-0.0615%21 Aug
cache9–13-0.0333%18 Aug
anubis16–12-0.0435%18 Aug
nuke2–13-0.0421%16 Aug
inferno8–130.0117%16 Aug
cache11–13-0.0522%14 Aug
nuke13–90.0230%14 Aug
cache11–13-0.0633%13 Aug
mirage4–13-0.1030%13 Aug
anubis11–130.0327%8 Aug
cache8–130.0033%8 Aug
cache10–130.0330%7 Aug
cache10–13-0.0521%4 Aug
ancient4–13-0.0720%4 Aug
ancient11–130.0138%4 Aug
ancient11–13-0.0928%3 Aug
nuke9–4-0.0726%3 Aug
inferno4–90.0527%3 Aug
nuke9–10.0938%3 Aug
dust27–130.0337%3 Aug
inferno8–13-0.0136%3 Aug
mirage13–20.1129%30 Jul
mirage13–11-0.0328%29 Jul
dust213–11-0.0536%29 Jul
ancient16–14-0.0329%26 Jul
vertigo13–9-0.0116%24 Jul
mirage10–130.0137%24 Jul
cache8–130.0536%24 Jul
nuke13–10-0.0223%23 Jul
mirage13–70.0138%23 Jul
nuke13–80.0430%22 Jul
mirage8–13-0.0219%22 Jul
cache13–60.0324%22 Jul
train12–120.0538%22 Jul
ancient10–13-0.0036%22 Jul
mirage13–40.0822%22 Jul
mirage13–3-0.040%22 Jul
anubis13–80.0042%22 Jul
dust212–16-0.0614%20 Jul
cache5–13-0.0126%20 Jul
mirage11–13-0.0123%20 Jul
anubis13–0-0.0240%20 Jul
mirage13–30.0317%20 Jul
cache13–10.0537%17 Jul
anubis8–13-0.0427%17 Jul
mirage15–15-0.0235%17 Jul
anubis9–13-0.0736%16 Jul
dust216–120.0234%16 Jul
nuke9–3-0.0926%16 Jul
mirage6–130.0129%16 Jul
cache13–70.0519%16 Jul
cache13–11-0.0515%16 Jul
dust27–13-0.0927%16 Jul
dust210–130.0144%15 Jul
mirage9–130.0529%15 Jul
nuke10–13-0.0330%15 Jul
mirage13–60.0632%15 Jul
cache13–2-0.0232%15 Jul
cache13–2-0.0422%15 Jul
dust213–4-0.0118%15 Jul
inferno13–8-0.0429%15 Jul
inferno0–7-0.0817%15 Jul
dust213–9-0.0413%15 Jul
anubis13–40.0110%14 Jul
inferno13–100.0044%14 Jul
cache13–100.0739%13 Jul
anubis5–13-0.064%13 Jul
mirage13–40.0240%12 Jul
cache13–70.0535%12 Jul
mirage13–16-0.0028%12 Jul
inferno6–13-0.116%12 Jul
mirage4–130.0933%12 Jul
dust24–13-0.0325%12 Jul
dust29–13-0.0525%12 Jul
cache13–00.1021%11 Jul
ancient13–11-0.0521%11 Jul
cache10–13-0.0528%10 Jul
mirage13–30.0524%10 Jul
anubis6–13-0.0122%10 Jul
cache13–90.0436%10 Jul
cache13–60.1030%9 Jul
mirage13–80.0128%7 Jul
cache5–130.0539%5 Jul
cache13–10-0.0419%5 Jul
cache13–80.0225%2 Jul
mirage13–60.0526%2 Jul
inferno15–150.0738%2 Jul
mirage13–70.0628%2 Jul
mirage13–7-0.0027%1 Jul
mirage7–13-0.0335%1 Jul
mirage16–14-0.0122%1 Jul
mirage16–120.0732%30 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →