W i L

W i L — CS2 Stats

VE76561198122087294[U:1:161821566]Steam profile ↗✓ No bans

3,744Tracked matches57%Win rate2020Tracked since
8,195Hours in CS19Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating21,421Pink band · top ~6.9% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGW i LFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,421 · Pink bandcsdb.gg/stats

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Performance scores

Aim58
Positioning61
Utility79

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLWLWLWWLW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +1.0pp headshot accuracy · −35ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 583ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 600ms

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 (+3.2 against its own average).

Aim5.8
Utility7.9
Positioning6.1
Opening Duels2.2
Clutch2.8

High utility contribution

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 66% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher utility contribution; 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 70% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 612ms 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

Aim5.8
Positioning6.1
Utility7.9
Mechanics7.5
Opening Duels6.0
Win Impact7.2

Composite 6.7/10 (Solid), 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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time615ms−4ms
first ⅓ avg 620ms → last ⅓ avg 615ms
Headshot accuracy23.1%+0.3%
first ⅓ avg 22.8% → last ⅓ avg 23.1%

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

0.30Best match rating · 3–0 · cache, 25 Oct →
50%Best headshot accuracy · 3–0 · cache, 25 Oct →
414msFastest reaction time · 13–4 · mirage, 21 Oct →
13–1Biggest win · mirage, 15 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 67% over 15dust2Weakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%0.00
mirageB1910–953%0.00
cacheB189–950%-0.00
ancientS1510–567%-0.00
nukeA127–558%-0.01
infernoB84–450%-0.01
anubis—42–250%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,274Lifetime kills
0.92K/D
11,526Matches
42.7%Match win rate
47.9%Headshot %
12.6%Shot accuracy
17,434MVPs
4,034Hours (in match)
7,234Bombs planted
1,500Bombs defused

Most-used weapons

AK-4747,612
AWP11,689
FAMAS5,488
MAC-104,396
MP94,007

Lifetime map wins

34,509dust2
13,791inferno
4,341nuke
3,161vertigo
1,016train
158cbble
104office
33italy

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

Faceit stats

Combat

670Matches
51%Win rate
0.98Avg K/D
76.4ADR
49%Headshot %

Clutches & streaks

34%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7747%1.0014.0
Dust25768%1.1916.1
Ancient3047%0.9015.5
Anubis2050%0.8912.7
Inferno2050%1.0513.6
Nuke1850%1.1214.0
Vertigo1155%1.1214.2
Cache333%1.0217.3

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.

22.7%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.4%Spray accuracy
83.8%Counter-strafing
12.2°Preaim
612msReaction time
69.8%T opening success
38.5%CT opening success
0.66Enemies flashed / flash
15.9%Flash assists
9.81HE damage / grenade
18.49Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2049° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0611%15 Nov →
nuke14–160.0323%15 Nov →
nuke13–100.0118%15 Nov →
mirage11–13-0.0820%15 Nov →
mirage13–10.0725%15 Nov →
dust210–130.0322%15 Nov →
ancient13–20.0530%15 Nov →
nuke13–100.0330%15 Nov →
dust27–13-0.0232%15 Nov →
cache13–5-0.0126%15 Nov →
anubis7–13-0.0236%15 Nov →
nuke13–10-0.0126%14 Nov →
cache13–9-0.0713%14 Nov →
mirage7–130.0317%14 Nov →
dust213–30.1042%8 Nov →
ancient13–80.0524%8 Nov →
ancient13–7-0.0221%8 Nov →
ancient16–13-0.0019%8 Nov →
mirage13–11-0.0212%8 Nov →
dust213–60.0316%8 Nov →
mirage13–70.0321%8 Nov →
ancient9–130.0414%8 Nov →
cache11–13-0.0822%8 Nov →
ancient13–8-0.0521%2 Nov →
dust213–7-0.0721%2 Nov →
dust26–130.0738%2 Nov →
cache6–13-0.0415%1 Nov →
dust213–70.0128%1 Nov →
mirage2–13-0.0114%1 Nov →
cache7–13-0.0332%1 Nov →
dust213–11-0.0826%1 Nov →
inferno15–150.0223%1 Nov →
cache8–13-0.0422%1 Nov →
cache13–8-0.0621%1 Nov →
cache5–130.0224%1 Nov →
dust215–150.0022%1 Nov →
ancient13–6-0.0718%1 Nov →
mirage8–13-0.0415%1 Nov →
inferno13–90.0125%31 Oct →
mirage6–13-0.0821%31 Oct →
ancient5–10.0617%31 Oct →
mirage13–10.0228%31 Oct →
mirage13–9-0.0229%31 Oct →
cache6–13-0.0335%31 Oct →
cache13–9-0.0214%31 Oct →
dust213–8-0.0221%31 Oct →
dust28–13-0.0626%30 Oct →
cache13–90.0018%30 Oct →
ancient11–13-0.0423%30 Oct →
ancient13–4-0.0622%30 Oct →
dust24–13-0.0020%30 Oct →
inferno11–130.0118%26 Oct →
cache13–60.1229%26 Oct →
ancient13–10.2228%26 Oct →
dust29–130.0420%26 Oct →
dust211–130.0315%26 Oct →
nuke8–13-0.0520%26 Oct →
ancient13–10-0.0023%26 Oct →
mirage15–15-0.0121%25 Oct →
anubis13–70.0023%25 Oct →
cache9–130.0224%25 Oct →
cache3–00.3050%25 Oct →
mirage1–13-0.0315%25 Oct →
nuke11–13-0.0522%25 Oct →
inferno13–80.0527%25 Oct →
dust213–10-0.0516%25 Oct →
ancient6–13-0.1011%25 Oct →
nuke1–13-0.0627%25 Oct →
inferno16–13-0.0814%25 Oct →
dust213–100.0127%25 Oct →
cache13–5-0.0617%25 Oct →
mirage13–70.0133%25 Oct →
anubis13–6-0.0217%25 Oct →
nuke15–15-0.0822%24 Oct →
mirage13–90.0233%24 Oct →
nuke13–8-0.0119%24 Oct →
ancient8–13-0.0526%24 Oct →
mirage13–50.0230%24 Oct →
nuke13–90.0117%24 Oct →
cache4–13-0.0613%24 Oct →
inferno10–13-0.0033%24 Oct →
dust213–30.0026%24 Oct →
dust213–110.0116%24 Oct →
ancient11–13-0.0425%24 Oct →
nuke13–110.0217%24 Oct →
cache8–13-0.0436%23 Oct →
cache16–12-0.0121%23 Oct →
nuke13–9-0.0022%23 Oct →
dust214–160.0519%22 Oct →
mirage10–130.0716%21 Oct →
mirage7–13-0.0328%21 Oct →
dust213–40.0824%21 Oct →
dust26–130.0314%21 Oct →
dust29–13-0.0320%21 Oct →
inferno13–5-0.0419%21 Oct →
dust27–13-0.0217%21 Oct →
dust24–13-0.0813%21 Oct →
mirage13–40.0637%21 Oct →
anubis6–13-0.0229%20 Oct →
mirage13–80.0225%20 Oct →

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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