M

M — CS2 Stats

76561198085760542[U:1:125494814]Steam profile ↗✓ No bans

1,411Tracked matches52%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating19,859Top 50% of 213,211 CSDB-tracked playersPurple band · top ~9.1% of ranked players (population est.)
CSDB Leaderboard#88808 of 259937 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (8 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: 19,859 +1,862 25 Jul – 27 Oct · 16 days played
17,99719,924peak 19,92425 Jul27 Oct
19,997Peak Premier in tracked matches
39Days played since 2026-07-14

Premier CS Rating

  • 65 below peak (19,924)
  • +113 over 30 days · steady
  • +592 over 90 days
  • Next: Pink band at 20,000 — 141 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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

Share this profile

CSDB.GGMFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,859 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateWLTLWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −10.2pp headshot accuracy · +35ms reaction

Win rate down 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 -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 587ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

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 (+1.4 against its own average).

Aim5.4
Utility5.6
Positioning5.2
Opening Duels1.8
Clutch4.0

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

iM

Plays most like iM 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

CT openings. Opening success drops from 50% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms 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

Aim5.4
Positioning5.2
Utility5.6
Mechanics4.5
Opening Duels2.8
Win Impact5.6

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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time579ms−47ms
first ⅓ avg 626ms → last ⅓ avg 579ms
Headshot accuracy19.0%+3.8%
first ⅓ avg 15.1% → 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

0.25Best match rating · 9–1 · eldorado, 5 Sept →
100%Best headshot accuracy · 6–8 · rush_001, 2 Oct →
398msFastest reaction time · 2–6 · rush_001, 2 Oct →
13–2Biggest win · dust2, 13 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 73% over 11nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%-0.01
cacheB137–654%-0.03
anubisS118–373%-0.01
infernoB105–550%-0.01
mirageS96–367%0.02
nukeD92–722%0.00
ancientB63–350%-0.06
overpassA53–260%0.06
vertigo—41–325%0.00
rush_001—42–250%0.04
poseidon—42–250%0.03
eldorado—21–150%0.04
train—10–10%-0.05
debris—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

330Matches
53%Win rate
1.00Avg K/D
81.2ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4459%0.9613.9
Anubis4144%0.8915.2
Dust23964%1.0015.0
Mirage3642%1.0614.6
Inferno1958%1.0814.9
Nuke1040%0.9414.5
Vertigo838%0.7612.9
Cache560%0.9212.8

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.

13.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
36.7%Spray accuracy
70.3%Counter-strafing
10.6°Preaim
572msReaction time
50.2%T opening success
32.5%CT opening success
0.58Enemies flashed / flash
3.1%Flash assists
9.36HE damage / grenade
8.21Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4848% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 32.5104% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–14-0.038%27 Oct →
ancient5–13-0.1118%26 Oct →
dust212–12-0.0311%20 Oct →
dust24–13-0.0517%18 Oct →
mirage13–10-0.0413%18 Oct →
inferno5–90.0422%10 Oct →
nuke9–60.043%10 Oct →
eldorado4–9-0.1632%10 Oct →
vertigo7–9-0.0223%10 Oct →
anubis14–16-0.0818%10 Oct →
dust212–16-0.0713%8 Oct →
train5–13-0.0521%7 Oct →
anubis16–13-0.037%2 Oct →
rush_0018–70.0733%2 Oct →
rush_0012–6-0.0422%2 Oct →
rush_0016–8-0.03100%2 Oct →
rush_0015–10.1624%2 Oct →
anubis13–40.038%28 Sept →
poseidon8–8-0.0320%5 Sept →
eldorado9–10.2519%5 Sept →
overpass8–80.1614%5 Sept →
poseidon9–70.1516%5 Sept →
inferno6–90.0513%5 Sept →
nuke4–9-0.0517%5 Sept →
vertigo9–30.1321%5 Sept →
debris5–9-0.0621%5 Sept →
dust210–130.0116%4 Sept →
mirage3–130.0016%3 Sept →
anubis13–11-0.0211%3 Sept →
dust213–60.0015%1 Sept →
inferno7–1-0.070%1 Sept →
dust24–13-0.0518%29 Aug →
anubis13–110.0215%29 Aug →
dust213–110.0011%29 Aug →
ancient13–70.0216%29 Aug →
cache13–5-0.0314%29 Aug →
mirage8–13-0.0310%28 Aug →
cache9–13-0.0312%28 Aug →
cache16–12-0.0115%26 Aug →
ancient1–5-0.0920%25 Aug →
cache13–9-0.017%25 Aug →
ancient10–13-0.058%25 Aug →
dust22–13-0.0229%25 Aug →
cache8–13-0.028%23 Aug →
dust213–60.0027%23 Aug →
dust213–7-0.0212%22 Aug →
mirage13–30.0915%22 Aug →
mirage13–110.1014%21 Aug →
anubis6–13-0.0217%21 Aug →
mirage10–13-0.028%21 Aug →
cache13–9-0.0123%16 Aug →
ancient13–3-0.066%16 Aug →
nuke7–130.0022%15 Aug →
dust213–100.0315%15 Aug →
cache12–12-0.075%13 Aug →
anubis13–4-0.018%13 Aug →
dust213–20.0219%13 Aug →
dust210–13-0.0420%11 Aug →
cache13–8-0.0120%9 Aug →
inferno16–130.0116%1 Aug →
inferno9–60.119%1 Aug →
overpass9–50.0912%1 Aug →
poseidon3–9-0.0723%1 Aug →
overpass9–60.1213%1 Aug →
poseidon9–70.0818%1 Aug →
inferno8–130.0017%1 Aug →
anubis9–13-0.0211%1 Aug →
cache11–13-0.0614%1 Aug →
cache3–13-0.0618%1 Aug →
nuke7–13-0.0518%31 Jul →
cache13–60.0210%31 Jul →
dust21–13-0.1322%31 Jul →
dust24–13-0.0515%30 Jul →
anubis13–9-0.0214%30 Jul →
anubis13–8-0.018%29 Jul →
dust213–20.116%28 Jul →
nuke6–9-0.099%28 Jul →
vertigo6–9-0.0710%28 Jul →
overpass6–9-0.1015%28 Jul →
inferno4–9-0.1626%28 Jul →
mirage13–11-0.0414%27 Jul →
dust28–13-0.0227%27 Jul →
overpass9–30.0512%27 Jul →
inferno9–1-0.0110%27 Jul →
dust26–130.0120%25 Jul →
inferno13–8-0.0426%25 Jul →
mirage13–11-0.0217%25 Jul →
cache4–130.0029%25 Jul →
nuke11–130.0415%24 Jul →
ancient13–10-0.0415%24 Jul →
nuke7–9-0.089%24 Jul →
vertigo8–8-0.0311%24 Jul →
nuke11–130.1024%22 Jul →
dust213–90.0811%22 Jul →
dust25–13-0.0119%19 Jul →
dust23–13-0.0710%18 Jul →
inferno9–130.006%17 Jul →
mirage13–40.0915%15 Jul →
nuke13–80.0817%14 Jul →
anubis13–80.0110%14 Jul →

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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