m1an

m1an — CS2 Stats

76561198167836834[U:1:207571106]Steam profile ↗✓ No bans

1,802Tracked matches60%Win rate2020Tracked since
3,538Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,802 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,671 +1,758 21 Dec – 26 Jun · 28 days played
19,65023,107peak 23,10721 Dec26 Jun
23,107Peak Premier in tracked matches
44Days played since 2025-12-13

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 Level 8 among CSDB-tracked players (n=14,773), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate51.7%46.8%48.2%above
Shot accuracy16.3%13.0%13.3%above
Kill/death ratio0.911.061.070.16 short
Match win rate45.4%46.3%46.9%1.5% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGm1anFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning55
Utility42

0–100 skill scores via Leetify.

Recent form

HOT59–37–4Last 10059%Win rateWLWWWWWWWL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · −38ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 561ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 579ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

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 (+1.4 against its own average).

Aim7.9
Utility4.2
Positioning5.5
Opening Duels3.5
Clutch3.2

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 594ms 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
Positioning5.5
Utility4.2
Mechanics8.0
Opening Duels2.2
Win Impact8.3

Composite 6.4/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time590ms−9ms
first ⅓ avg 598ms → last ⅓ avg 590ms
Headshot accuracy19.9%−0.2%
first ⅓ avg 20.1% → last ⅓ avg 19.9%

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

0.13Best match rating · 13–3 · ancient, 3 Mar →
48%Best headshot accuracy · 13–5 · mirage, 6 May →
391msFastest reaction time · 7–13 · anubis, 25 Apr →
13–0Biggest win · dust2, 20 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 75% over 16ancientWeakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
dust2A2818–1064%-0.01
ancientC219–1243%-0.02
mirageS1612–475%-0.01
anubisA116–555%-0.02
infernoA95–456%-0.02
nukeA53–260%-0.02
overpass—32–167%0.04
cache—31–233%-0.05
train—22–0100%0.10
vertigo—21–150%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,365Lifetime kills
0.91K/D
5,517Matches
45.4%Match win rate
51.7%Headshot % · Top 50% of Level 8 players
16.3%Shot accuracy · Top 25% of Level 8 players
10,769MVPs
3,538Hours (in match)
6,101Bombs planted
1,247Bombs defused

Most-used weapons

AK-4734,075
AWP7,648
Knife1,907
FAMAS1,710
SG 5531,684

Lifetime map wins

10,036dust2
8,333inferno
3,485vertigo
2,678nuke
1,503train
128cbble
97lake
46safehouse

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

Faceit stats

Combat

1,460Matches
49%Win rate
0.94Avg K/D
81.2ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage9757%1.1915.8
Vertigo4850%0.9715.4
Anubis4745%1.0516.0
Dust23355%1.0917.6
Ancient2959%1.1916.6
Inferno2450%1.0815.8
Nuke1450%0.9415.3
Overpass650%0.9918.0

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.

20.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.4%Spray accuracy
86.2%Counter-strafing
9.3°Preaim
594msReaction time
34.9%T opening success
42.9%CT opening success
0.58Enemies flashed / flash
5.8%Flash assists
5.69HE damage / grenade
6.26Flashes / 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 34.8858% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0317%21 Jul →
dust23–13-0.0916%19 Jul →
inferno13–6-0.0723%19 Jul →
ancient16–14-0.0320%26 Jun →
ancient13–110.0322%28 May →
ancient13–10-0.0233%28 May →
mirage13–11-0.0621%25 May →
mirage13–7-0.0512%22 May →
overpass13–70.1120%22 May →
dust23–13-0.0319%17 May →
mirage16–13-0.0516%10 May →
ancient3–13-0.0723%10 May →
mirage13–50.0648%6 May →
anubis13–7-0.0211%6 May →
mirage13–70.0912%30 Apr →
anubis5–130.0534%30 Apr →
dust28–130.0227%29 Apr →
cache11–13-0.0516%29 Apr →
cache13–10-0.0420%29 Apr →
cache4–13-0.0526%29 Apr →
dust213–6-0.0816%25 Apr →
ancient5–13-0.0916%25 Apr →
mirage10–13-0.0219%25 Apr →
anubis7–13-0.0315%25 Apr →
anubis12–16-0.0010%19 Apr →
ancient8–13-0.0418%19 Apr →
mirage13–50.0233%16 Apr →
nuke13–10-0.0017%16 Apr →
ancient13–8-0.0520%16 Apr →
dust213–7-0.0718%13 Apr →
dust23–13-0.0417%29 Mar →
mirage13–6-0.037%28 Mar →
ancient13–90.0114%28 Mar →
dust215–15-0.0515%28 Mar →
dust211–13-0.0413%28 Mar →
ancient11–13-0.0810%26 Mar →
anubis13–8-0.048%25 Mar →
inferno13–110.0217%24 Mar →
anubis10–13-0.126%24 Mar →
mirage6–13-0.0322%20 Mar →
ancient11–13-0.0512%17 Mar →
dust213–40.0016%16 Mar →
dust213–40.0327%13 Mar →
train13–110.0715%13 Mar →
train13–20.1313%12 Mar →
vertigo13–60.0525%12 Mar →
mirage13–10-0.0120%10 Mar →
ancient10–13-0.0515%10 Mar →
dust213–60.1011%10 Mar →
dust27–130.014%10 Mar →
dust26–13-0.1019%8 Mar →
overpass13–10.0116%8 Mar →
inferno13–11-0.0220%6 Mar →
nuke13–30.0812%6 Mar →
dust213–8-0.0118%6 Mar →
mirage13–5-0.0323%6 Mar →
ancient13–60.1021%6 Mar →
dust213–7-0.0612%6 Mar →
dust213–50.0524%5 Mar →
mirage10–13-0.0334%5 Mar →
dust211–130.0121%4 Mar →
mirage13–40.0519%4 Mar →
inferno6–13-0.0519%4 Mar →
dust213–100.0924%4 Mar →
inferno16–130.0115%4 Mar →
ancient10–13-0.0236%4 Mar →
anubis13–50.0216%3 Mar →
dust211–13-0.0618%3 Mar →
ancient7–13-0.037%3 Mar →
ancient13–30.1319%3 Mar →
mirage13–8-0.0120%2 Mar →
nuke14–16-0.0618%2 Mar →
dust213–30.0129%1 Mar →
anubis13–110.0013%1 Mar →
dust213–11-0.0019%1 Mar →
ancient15–15-0.0321%1 Mar →
inferno8–13-0.0629%1 Mar →
ancient7–13-0.0710%1 Mar →
anubis10–13-0.0622%26 Feb →
ancient10–13-0.0215%26 Feb →
dust213–7-0.0129%26 Feb →
ancient11–130.0331%5 Feb →
inferno12–10-0.0226%5 Feb →
dust213–110.0318%4 Feb →
anubis13–2-0.0421%4 Feb →
inferno4–130.0028%2 Feb →
ancient13–8-0.0114%25 Jan →
anubis13–60.0328%25 Jan →
dust216–140.0419%25 Jan →
nuke11–13-0.0815%22 Jan →
mirage9–13-0.0319%20 Jan →
dust213–0-0.0016%20 Jan →
nuke13–5-0.0114%20 Jan →
dust213–11-0.0229%20 Jan →
overpass12–120.0012%13 Jan →
inferno11–13-0.0118%22 Dec →
vertigo12–12-0.0621%21 Dec →
ancient13–50.0116%21 Dec →
dust213–100.0029%21 Dec →
mirage13–6-0.0024%13 Dec →

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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