stm

stm — CS2 Stats

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

655Tracked matches61%Win rate2020Tracked since
1,480Hours in CS
CSDB Rating7.3 StrongSupport
Premier CS Rating20,000Top 50% of 204,793 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#80779 of 251926 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 +1,396 7 Jun – 11 Oct · 6 days played
18,56920,000peak 20,0007 Jun11 Oct
20,118Peak Premier in tracked matches
42Days played since 2026-06-05

Premier CS Rating

  • At peak — 20,000
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches40——
Win rate43%——
K/D0.98——
Headshot %43%——

Measured 19 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 medianRed band medianvs Red band
Headshot rate43.6%46.9%49.3%5.7% short
Shot accuracy12.2%13.0%13.4%1.2% short
Kill/death ratio1.141.081.12meets
Match win rate48.2%46.7%48.5%meets

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

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

Share this profile

CSDB.GGstmPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning62
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateLTLWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.3pp headshot accuracy · −24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 602ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 602ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim7.6
Utility7.0
Positioning6.2
Opening Duels5.5
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 84% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 602ms 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

Aim7.6
Positioning6.2
Utility7.0
Mechanics7.8
Opening Duels5.1
Win Impact8.6

Composite 7.3/10 (Strong), 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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time598ms−49ms
first ⅓ avg 646ms → last ⅓ avg 598ms
Headshot accuracy18.4%+1.0%
first ⅓ avg 17.4% → last ⅓ avg 18.4%

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 · 4–7 · dust2, 13 Oct →
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

6Longest win streak
7–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 58% over 24anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
infernoB2412–1250%-0.02
cacheB1910–953%-0.02
nukeC135–838%-0.02
ancientD92–722%-0.02
anubisD61–517%-0.02
mirage—11–0100%0.10
vertigo—11–0100%0.04
train—10–10%-0.04
boulder—10–10%-0.07
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,838Lifetime kills
1.14K/D · Top 50% of Pink band
4,386Matches
48.2%Match win rate · Top 50% of Pink band
43.6%Headshot %
12.2%Shot accuracy
7,414MVPs
1,480Hours (in match)
3,895Bombs planted
1,055Bombs defused

Most-used weapons

AK-4717,635
AWP8,232
XM10142,491
MP91,840
Tec-91,470

Lifetime map wins

9,861dust2
9,211inferno
6,172nuke
852vertigo
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.

18.2%Headshot accuracy
36.9%Accuracy (enemy spotted)
42.1%Spray accuracy
85.2%Counter-strafing
10.8°Preaim
602msReaction time
47.6%T opening success
52.8%CT opening success
0.63Enemies flashed / flash
9.3%Flash assists
13.73HE damage / grenade
8.92Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–70.1022%13 Oct →
nuke12–12-0.0827%12 Oct →
dust28–13-0.0323%11 Oct →
inferno13–90.0420%11 Oct →
anubis13–100.0214%11 Oct →
inferno13–7-0.0314%11 Oct →
mirage13–30.1012%11 Oct →
inferno13–9-0.0112%11 Oct →
dust213–60.0427%8 Oct →
ancient6–13-0.075%8 Oct →
dust213–10-0.0117%8 Oct →
nuke5–13-0.0215%7 Oct →
cache11–13-0.0212%6 Oct →
inferno13–11-0.0013%5 Oct →
dust25–13-0.0632%4 Oct →
cache13–10-0.0111%29 Sept →
inferno5–13-0.0142%24 Sept →
ancient8–130.0622%24 Sept →
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 →

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 →

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