stm

stm — CS2 Stats

IT76561197974065988[U:1:13800260]Steam profile ↗✓ No bans

637Tracked matches48%Win rate2020Tracked since
1,468Hours in CS
CSDB Rating6.3 SolidSupport
CSDB Leaderboard#88665 of 238964 tracked
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 25 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,264 +660 7 Jun28 Jun · 5 days played
18,56919,264peak 19,2647 Jun28 Jun
19,271Peak Premier in tracked matches
37Days played since 2026-05-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim79
Positioning51
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY444610Last 10044%Win rateWLWLWWWTWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.8pp headshot accuracy · +38ms 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 666ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 638ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 618ms

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: SupportUtility contribution stands above the rest of this profile (+3 against its own average).

Aim7.9
Utility6.7
Positioning5.1
Opening Duels3.1
Clutch0.0

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

device

Plays most like device 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim7.9
Positioning5.1
Utility6.7
Mechanics8.0
Opening Duels2.3
Win Impact4.4

Composite 6.3/10 (Solid), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time622ms−21ms
first ⅓ avg 644ms → last ⅓ avg 622ms
Headshot accuracy18.6%+1.1%
first ⅓ avg 17.5% → last ⅓ avg 18.6%

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

0.10Best match rating · 4–2 · cache, 2 Jun
46%Best headshot accuracy · 8–13 · ancient, 11 Aug
445msFastest reaction time · 8–13 · ancient, 28 Jun
13–0Biggest win · nuke, 17 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
98In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 55% over 20anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B24131154%0.01
infernoC2291341%-0.03
cacheA2011955%-0.01
nukeC156940%-0.02
ancientD72529%-0.02
anubisD71614%-0.03
overpass21150%-0.03
vertigo110100%0.04
train1010%-0.04
boulder1010%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,356Lifetime kills
1.14K/D · Top 25% of tracked players
4,347Matches
48.3%Match win rate · Top 50% of tracked players
43.6%Headshot % · Top 50% of tracked players
12.3%Shot accuracy · Top 50% of tracked players
7,346MVPs
1,468Hours (in match)
3,851Bombs planted
1,051Bombs defused

Most-used weapons

AK-4717,470
AWP8,191
XM10142,489
MP91,827
Tec-91,463

Lifetime map wins

9,768dust2
9,133inferno
6,155nuke
828vertigo
400train
300cbble
54italy
41lake

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

Faceit stats

Combat

10Matches
60%Win rate
0.89Avg K/D
71.3ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno367%1.0114.0
Ancient1100%1.1011.0
Cache10%0.336.0
Dust210%0.336.0
Vertigo1100%1.4021.0

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.

19.4%Headshot accuracy
38.5%Accuracy (enemy spotted)
42.7%Spray accuracy
86.0%Counter-strafing
10.4°Preaim
623msReaction time
31.4%T opening success
47.2%CT opening success
0.69Enemies flashed / flash
6.3%Flash assists
11.75HE damage / grenade
9.98Flashes / 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 31.4229% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0316%14 Sept
cache7–13-0.0419%31 Aug
inferno13–10.0115%31 Aug
inferno11–13-0.0427%30 Aug
cache13–30.0417%30 Aug
nuke13–50.0210%27 Aug
dust213–50.0425%27 Aug
cache12–12-0.0018%26 Aug
inferno13–70.0511%26 Aug
dust210–13-0.008%26 Aug
dust213–90.0222%20 Aug
nuke13–90.0026%18 Aug
vertigo13–70.0427%18 Aug
train5–13-0.0417%18 Aug
cache13–80.0512%18 Aug
nuke13–00.0610%17 Aug
cache13–50.0515%17 Aug
inferno6–13-0.0425%16 Aug
cache6–130.0021%16 Aug
nuke13–11-0.0027%16 Aug
inferno3–13-0.1312%14 Aug
inferno11–13-0.0428%14 Aug
cache10–13-0.0517%14 Aug
dust213–90.0413%14 Aug
nuke9–13-0.0812%14 Aug
dust26–13-0.0520%11 Aug
ancient8–13-0.0246%11 Aug
cache5–13-0.0523%11 Aug
nuke9–130.0112%11 Aug
nuke9–13-0.0124%10 Aug
cache13–6-0.0310%10 Aug
inferno6–13-0.0611%5 Aug
inferno14–16-0.0117%5 Aug
cache13–10-0.0316%3 Aug
ancient13–6-0.0415%3 Aug
dust213–40.0922%3 Aug
dust213–80.0314%2 Aug
anubis10–130.006%2 Aug
dust213–80.0415%2 Aug
ancient11–13-0.0428%31 Jul
dust215–150.0622%22 Jul
inferno16–14-0.0219%22 Jul
inferno13–2-0.0222%19 Jul
ancient8–130.0017%16 Jul
boulder12–12-0.0719%16 Jul
inferno13–10-0.0311%13 Jul
dust212–12-0.0222%13 Jul
cache13–10-0.0317%13 Jul
anubis1–13-0.0628%12 Jul
dust213–30.0320%12 Jul
inferno6–13-0.0325%12 Jul
cache12–12-0.0511%11 Jul
cache13–70.0120%11 Jul
nuke8–13-0.1313%29 Jun
cache13–9-0.0321%29 Jun
dust210–13-0.0112%29 Jun
dust213–10-0.0513%28 Jun
ancient8–130.0116%28 Jun
dust213–0-0.048%28 Jun
cache7–13-0.0319%28 Jun
inferno1–9-0.0025%28 Jun
overpass13–9-0.0319%27 Jun
inferno13–110.0026%27 Jun
nuke13–110.0129%27 Jun
nuke6–13-0.0310%27 Jun
ancient13–4-0.028%15 Jun
dust213–110.0118%15 Jun
cache10–13-0.0525%15 Jun
ancient10–13-0.0618%14 Jun
dust22–13-0.074%14 Jun
dust213–10-0.0517%14 Jun
nuke12–12-0.0214%14 Jun
anubis10–13-0.0318%14 Jun
dust211–130.0624%12 Jun
anubis12–120.0121%12 Jun
anubis10–13-0.0710%10 Jun
inferno13–11-0.0611%10 Jun
inferno12–12-0.0220%10 Jun
dust213–100.0530%9 Jun
inferno13–8-0.0321%7 Jun
inferno11–13-0.0212%5 Jun
inferno6–13-0.0017%5 Jun
overpass11–13-0.0314%5 Jun
dust26–13-0.0318%2 Jun
nuke11–13-0.0214%2 Jun
inferno12–12-0.0211%2 Jun
cache13–4-0.0210%2 Jun
cache7–13-0.028%2 Jun
cache4–20.1033%2 Jun
anubis6–13-0.079%2 Jun
anubis13–11-0.0127%2 Jun
dust27–13-0.0428%1 Jun
dust212–120.0422%1 Jun
nuke5–130.0026%31 May
dust213–50.0413%31 May
dust24–13-0.0221%28 May
inferno8–13-0.0420%25 May
nuke13–8-0.0611%25 May
nuke3–13-0.0511%25 May
inferno13–11-0.0217%25 May

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 →