man — CS2 Stats

76561198858334690[U:1:898068962]

561Tracked matches40%Win rate2023Tracked since
1,164Hours in CS
CSDB Rating4.4 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGmanFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility28

0–100 skill scores via Leetify.

Recent form

COLD325216Last 10032%Win rateWLWLLLLWLL

Last 10 vs previous 10: +0pp win rate · -0.06 avg rating

Player DNA

Aim5.4
Aggression6.9
Utility2.8
Positioning5.2
Opening Duels2.5
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 643ms 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
Utility2.8
Mechanics6.2
Opening Duels2.5
Win Impact1.7

Composite 4.4/10 (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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time654ms−15ms
first ⅓ avg 669ms → last ⅓ avg 654ms
Headshot accuracy14.7%−0.9%
first ⅓ avg 15.6% → last ⅓ avg 14.7%

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.

Highlights

0.13Best rating — overpass 12–12
133Biggest win — dust2
12Longest win streak
07In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 47% over 19trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B1991047%-0.01
nukeD1861233%-0.00
mirageD1441029%0.00
ancientB115645%-0.02
overpassD82625%0.01
infernoD82625%-0.04
vertigoD72529%-0.01
trainD51420%-0.01
office41325%0.04
cache3030%-0.06
alpine1010%-0.04
anubis1010%-0.04
italy1010%-0.02

Across the last 100 tracked matches.

Lifetime stats

42,591Lifetime kills
0.94K/D
2,661Matches
27.3%Match win rate
45.8%Headshot %
12.2%Shot accuracy · Top 50% of tracked players
4,227MVPs
1,164Hours (in match)
1,622Bombs planted
307Bombs defused

Most-used weapons

Lifetime map wins

3,568dust2
1,355nuke
861inferno
757office
737vertigo
497lake
218cbble
192train

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

Faceit stats

Combat

20Matches
20%Win rate
0.65Avg K/D
70.4ADR
34%Headshot %

Clutches & streaks

38%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage617%0.7013.2
Overpass3100%0.8410.7
Dust220%0.7212.0
Inferno10%1.1622.0
Ancient10%0.8315.0

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.

14.8%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.6%Spray accuracy
78.1%Counter-strafing
11.1°Preaim
643msReaction time
39.6%T opening success
40.7%CT opening success
0.51Enemies flashed / flash
2.8%Flash assists
9.56HE damage / grenade
1.60Flashes / 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 14.8458% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6013 — below the 4 mark we flag

    Grenade Lineups
  3. 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 39.6241% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–70.0412%28 Jun
dust29–130.0117%23 May
ancient13–80.025%23 May
mirage9–130.016%23 May
dust211–13-0.0312%23 May
cache10–13-0.0512%23 May
mirage4–13-0.0412%22 May
dust213–6-0.0312%22 May
dust28–13-0.1113%21 May
cache5–13-0.063%2 May
cache12–12-0.0613%2 May
mirage7–130.0512%22 Apr
nuke9–130.0321%22 Apr
mirage12–120.0412%5 Apr
dust213–4-0.0425%5 Apr
nuke13–100.018%4 Apr
vertigo13–70.0811%4 Apr
overpass12–120.1314%4 Apr
office12–120.0650%4 Apr
vertigo6–130.066%4 Apr
mirage13–90.036%4 Apr
dust22–130.0016%4 Apr
dust212–120.059%31 Mar
nuke13–80.0126%29 Jan
nuke5–13-0.0525%27 Jan
nuke13–10-0.0534%27 Jan
nuke13–5-0.0117%25 Jan
nuke6–13-0.067%25 Jan
vertigo1–11-0.0718%24 Jan
nuke7–130.0110%24 Jan
overpass12–120.0017%22 Jan
nuke10–13-0.0311%22 Jan
inferno5–13-0.0913%22 Jan
inferno13–80.0329%22 Jan
vertigo12–12-0.007%22 Jan
office12–120.057%22 Jan
alpine5–13-0.0413%22 Jan
nuke11–130.049%21 Jan
anubis11–13-0.046%21 Jan
nuke13–10-0.0114%21 Jan
overpass13–60.0716%21 Jan
ancient12–120.0434%21 Jan
ancient9–13-0.0211%20 Jan
train13–80.0911%20 Jan
nuke8–13-0.0416%20 Jan
inferno8–13-0.0211%19 Jan
nuke6–130.0118%19 Jan
overpass11–13-0.0416%19 Jan
mirage10–130.0413%18 Jan
ancient13–90.0215%18 Jan
mirage11–13-0.038%18 Jan
inferno0–5-0.090%18 Jan
inferno6–13-0.077%18 Jan
office13–50.0619%18 Jan
ancient11–13-0.0116%18 Jan
nuke7–130.0113%18 Jan
inferno8–13-0.0611%18 Jan
train4–13-0.0316%18 Jan
office7–130.0011%18 Jan
inferno6–130.038%18 Jan
nuke7–13-0.0314%18 Jan
overpass11–13-0.058%18 Jan
train10–13-0.0112%18 Jan
ancient9–13-0.0115%18 Jan
dust212–12-0.0523%18 Jan
train8–13-0.0114%18 Jan
overpass12–12-0.048%18 Jan
ancient12–12-0.068%18 Jan
nuke12–120.0418%10 Jan
mirage8–130.0417%10 Jan
ancient13–8-0.0323%9 Jan
overpass12–12-0.0510%9 Jan
overpass13–50.1021%8 Jan
dust213–80.0118%8 Jan
mirage13–6-0.0519%8 Jan
dust213–40.0427%8 Jan
ancient13–6-0.0826%8 Jan
dust213–8-0.0524%7 Jan
dust213–30.0530%7 Jan
vertigo13–7-0.0410%4 Jan
ancient13–10-0.0617%4 Jan
mirage13–7-0.0318%4 Jan
inferno13–7-0.0425%4 Jan
mirage13–80.0510%4 Jan
dust210–13-0.0411%4 Jan
dust27–13-0.0513%4 Jan
dust213–80.0016%3 Jan
mirage5–13-0.0110%18 Nov
dust27–13-0.0422%18 Nov
nuke13–6-0.018%7 Oct
mirage10–130.0315%4 Oct
vertigo7–13-0.042%4 Oct
dust22–13-0.0511%4 Oct
vertigo12–12-0.079%8 Sept
mirage0–6-0.120%8 Sept
train0–13-0.1011%2 Sept
italy4–13-0.0217%2 Sept
ancient8–13-0.0518%2 Sept
nuke12–120.0612%1 Sept
dust213–90.0918%1 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →