^m1L

^m1L — CS2 Stats

CA76561197964542500[U:1:4276772]Steam profile ↗✓ No bans

3,633Tracked matches57%Win rate2020Tracked since
4,720Hours in CS19Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating17,700Purple band · top ~17.7% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+885Premier CS Rating · 16,815 → 17,700

Rating over time

Premier CS Rating: 17,700 +2,386 7 Aug – 19 Oct · 29 days played
14,66017,700peak 17,7007 Aug19 Oct
17,725Peak Premier in tracked matches
35Days played since 2026-08-05

Premier CS Rating

  • At peak — 17,700
  • +2,061 over 30 days · improving
  • Next: Pink band at 20,000 — 2,300 to go
  • Reached: 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.8%44.3%46.9%2.1% short
Shot accuracy15.7%11.9%13.0%above
Kill/death ratio1.031.031.080.05 short
Match win rate39.0%45.2%46.7%7.6% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Match win 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.GG^m1LPREMIER17,700 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateWWWTLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.1pp headshot accuracy · +42ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

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 (+2.1 against its own average).

Aim7.4
Utility5.4
Positioning6.1
Opening Duels2.1
Clutch2.6

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 562ms 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

Aim7.4
Positioning6.1
Utility5.4
Mechanics7.7
Opening Duels4.5
Win Impact7.4

Composite 6.6/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time556ms−2ms
first ⅓ avg 558ms → last ⅓ avg 556ms
Headshot accuracy17.3%−2.4%
first ⅓ avg 19.6% → last ⅓ avg 17.3%

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

0.09Best match rating · 13–6 · ancient, 17 Aug →
63%Best headshot accuracy · 2–10 · anubis, 4 Sept →
367msFastest reaction time · 13–11 · inferno, 23 Sept →
13–1Biggest win · dust2, 24 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
15–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 72% over 18cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%-0.04
ancientS1813–572%-0.02
infernoS1712–571%-0.04
nukeC167–944%-0.02
mirageA116–555%-0.04
anubisS96–367%-0.03
cacheD72–529%-0.04
boulder—10–10%-0.01
vertigo—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

134,813Lifetime kills
1.03K/D · Top 50% of Purple band
6,608Matches
39.0%Match win rate
44.8%Headshot % · Top 50% of Purple band
15.7%Shot accuracy · Top 25% of Purple band
11,097MVPs
2,651Hours (in match)
8,213Bombs planted
1,470Bombs defused

Most-used weapons

AK-4730,850
AWP17,465
Negev11,496
FAMAS3,314
MAC-103,238

Lifetime map wins

9,882inferno
7,796nuke
6,772vertigo
6,098dust2
3,246train
109office
78cbble
73aztec

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

Faceit stats

Combat

283Matches
49%Win rate
0.84Avg K/D
66.7ADR
32%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1856%1.0215.6
Mirage1759%0.9314.5
Ancient1650%0.8613.3
Anubis1155%0.7914.2
Inferno888%1.0614.6
Overpass757%0.8516.0
Dust2667%1.0616.2
Nuke2100%1.1217.5

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
31.7%Accuracy (enemy spotted)
36.6%Spray accuracy
84.6%Counter-strafing
8.9°Preaim
562msReaction time
61.2%T opening success
35.1%CT opening success
0.45Enemies flashed / flash
6.1%Flash assists
9.86HE damage / grenade
9.27Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4453 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.0755% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0115%19 Oct →
ancient13–20.0820%19 Oct →
inferno13–8-0.0513%19 Oct →
dust215–15-0.0323%19 Oct →
dust212–16-0.0620%16 Oct →
inferno13–70.0118%16 Oct →
nuke11–13-0.0328%16 Oct →
nuke8–13-0.0514%14 Oct →
nuke13–7-0.0611%14 Oct →
cache13–11-0.0914%14 Oct →
inferno13–3-0.087%14 Oct →
mirage13–8-0.0521%14 Oct →
anubis16–14-0.0325%11 Oct →
dust24–13-0.0520%11 Oct →
anubis14–16-0.0414%11 Oct →
mirage10–13-0.0817%9 Oct →
ancient16–140.0016%9 Oct →
dust29–13-0.1012%8 Oct →
inferno13–100.0216%8 Oct →
dust27–13-0.0128%8 Oct →
ancient13–6-0.099%6 Oct →
nuke15–15-0.0123%6 Oct →
nuke13–11-0.0121%6 Oct →
dust216–12-0.0750%2 Oct →
mirage11–13-0.0011%2 Oct →
inferno13–8-0.0410%30 Sept →
inferno13–9-0.0413%30 Sept →
dust25–13-0.0315%27 Sept →
dust29–130.0013%27 Sept →
mirage5–13-0.1113%27 Sept →
mirage13–5-0.067%24 Sept →
ancient13–10-0.0119%24 Sept →
dust213–10.0115%24 Sept →
ancient13–11-0.0411%23 Sept →
inferno13–11-0.0223%23 Sept →
ancient13–11-0.0125%22 Sept →
cache5–13-0.0225%20 Sept →
nuke10–13-0.0132%20 Sept →
dust22–13-0.0724%20 Sept →
nuke13–8-0.0121%20 Sept →
anubis13–9-0.0730%13 Sept →
inferno13–10-0.0119%13 Sept →
dust213–9-0.0218%13 Sept →
dust213–110.0133%12 Sept →
inferno14–16-0.0629%12 Sept →
nuke13–5-0.019%12 Sept →
inferno13–9-0.0610%12 Sept →
anubis13–60.0622%11 Sept →
inferno13–11-0.0612%11 Sept →
ancient10–13-0.056%11 Sept →
dust25–13-0.089%10 Sept →
anubis2–10-0.0463%4 Sept →
nuke9–13-0.0122%4 Sept →
ancient13–50.0515%4 Sept →
cache8–13-0.0233%3 Sept →
inferno11–13-0.0413%3 Sept →
mirage15–15-0.0318%3 Sept →
inferno13–6-0.0418%2 Sept →
ancient11–13-0.0812%2 Sept →
mirage13–50.0119%2 Sept →
cache8–130.0129%31 Aug →
nuke3–13-0.028%31 Aug →
anubis13–11-0.0517%31 Aug →
ancient15–15-0.1011%28 Aug →
nuke5–13-0.0721%28 Aug →
inferno2–13-0.0731%26 Aug →
anubis13–9-0.0514%26 Aug →
ancient13–3-0.0324%26 Aug →
boulder12–12-0.0123%24 Aug →
nuke8–13-0.0331%24 Aug →
mirage13–90.0023%24 Aug →
dust21–13-0.0835%24 Aug →
inferno16–14-0.0413%24 Aug →
nuke13–50.0819%22 Aug →
nuke13–1-0.0145%22 Aug →
anubis13–4-0.0315%22 Aug →
inferno7–13-0.075%22 Aug →
dust210–13-0.0418%22 Aug →
nuke13–9-0.0423%20 Aug →
anubis10–13-0.0220%18 Aug →
cache13–8-0.0530%18 Aug →
mirage13–11-0.026%18 Aug →
ancient13–60.0915%17 Aug →
ancient13–10-0.0418%17 Aug →
mirage9–13-0.0721%16 Aug →
cache7–13-0.0713%16 Aug →
ancient13–11-0.0322%12 Aug →
mirage16–14-0.0112%12 Aug →
vertigo13–4-0.045%11 Aug →
ancient13–9-0.029%11 Aug →
dust213–10-0.0012%11 Aug →
nuke6–13-0.0415%9 Aug →
dust213–9-0.0133%9 Aug →
ancient11–13-0.0923%9 Aug →
dust29–13-0.0329%9 Aug →
cache12–12-0.0714%7 Aug →
ancient10–13-0.0314%7 Aug →
inferno9–13-0.0213%7 Aug →
dust213–5-0.0224%7 Aug →
dust213–6-0.0427%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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