33

33 — CS2 Stats

76561198344277302[U:1:384011574]Steam profile ↗✓ No bans

767Tracked matches61%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
CSDB Leaderboard#29225 of 261598 tracked
FaceitLevel 8 · 2,134 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,134 → 2,134
+51Tracked matches · now 767
0.0ppWin rate · 60.7% → 60.7%

Rating over time

Premier CS Rating: 24,434 +6,984 4 Apr – 19 Oct · 15 days played
17,45024,434peak 24,4344 Apr19 Oct
Faceit ELO: 2,134 +0 8 Oct – 19 Oct · 2 observations
2,1342,134peak 2,1348 Oct19 Oct
24,465Peak Premier in tracked matches
2,134Highest Faceit ELO seen on CSDB
26Days played since 2026-04-04

Faceit ELO

  • At peak — 2,134
  • Next: 2,500 ELO at 2,500 — 366 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-10-08
  • Level 9 first seen 2026-10-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG33FACEITLevel 8 · 2,134 ELOSTANDINGTop 31.2% of rankedPEAK ELO2,134csdb.gg/stats

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Performance scores

Aim64
Positioning56
Utility30

0–100 skill scores via Leetify.

Recent form

HOT60–37–3Last 10060%Win rateLWWWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −1.5pp headshot accuracy · −79ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 519ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 517ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 556ms

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 (+1.7 against its own average).

Aim6.4
Utility3.0
Positioning5.6
Opening Duels4.0
Clutch3.0

Limited utility dependence

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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

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. 584ms 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

Aim6.4
Positioning5.6
Utility3.0
Mechanics5.7
Opening Duels5.6
Win Impact8.6

Composite 5.8/10 (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-0.02−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time579ms−74ms
first ⅓ avg 653ms → last ⅓ avg 579ms
Headshot accuracy17.9%−3.1%
first ⅓ avg 21.0% → last ⅓ avg 17.9%

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

0.26Best match rating · 13–2 · inferno, 5 Apr →
44%Best headshot accuracy · 13–6 · mirage, 8 Apr →
422msFastest reaction time · 12–12 · cache, 7 May →
13–0Biggest win · mirage, 8 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 75% over 24nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3118–1358%0.01
mirageS2418–675%0.02
infernoA148–657%0.00
cacheA138–562%-0.03
nukeC83–538%-0.04
overpass—41–325%-0.00
ancient—42–250%-0.01
train—11–0100%0.06
anubis—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

636Matches
52%Win rate
0.98Avg K/D
65.8ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3949%0.7311.5
Inferno2544%0.9012.2
Dust22352%0.8213.0
Overpass40%0.6310.5
Cache475%0.6810.8
Anubis425%0.5711.3
Ancient40%0.468.8
Vertigo10%0.8917.0

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.

18.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.7%Spray accuracy
75.6%Counter-strafing
10.3°Preaim
584msReaction time
52.2%T opening success
52.4%CT opening success
0.36Enemies flashed / flash
0.7%Flash assists
6.89HE damage / grenade
4.55Flashes / 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 0.3627 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0713%14 Nov →
cache13–80.0116%14 Nov →
cache13–11-0.065%14 Nov →
mirage13–80.0413%13 Nov →
train13–90.0620%13 Nov →
dust213–100.0318%13 Nov →
mirage15–19-0.0214%10 Nov →
mirage5–13-0.0322%4 Nov →
overpass13–100.0214%3 Nov →
anubis13–4-0.0114%3 Nov →
cache4–13-0.119%3 Nov →
ancient13–110.0717%3 Nov →
mirage8–13-0.018%1 Nov →
dust213–50.0122%1 Nov →
dust213–60.0529%1 Nov →
nuke2–9-0.1417%31 Oct →
inferno9–50.0414%31 Oct →
inferno8–8-0.0417%31 Oct →
mirage11–13-0.066%26 Oct →
cache8–13-0.0325%26 Oct →
dust213–5-0.0426%26 Oct →
mirage13–80.0024%23 Jun →
cache13–8-0.0722%23 Jun →
dust210–130.0217%2 Jun →
inferno13–8-0.0320%7 May →
mirage16–14-0.0228%7 May →
cache12–120.0118%7 May →
cache12–12-0.0115%7 May →
dust213–10-0.0022%6 May →
dust28–13-0.0720%5 May →
inferno4–130.0019%4 May →
dust28–13-0.0123%4 May →
mirage16–14-0.0325%4 May →
cache13–8-0.0512%4 May →
dust216–13-0.0320%29 Apr →
cache13–11-0.0020%29 Apr →
cache13–90.0114%29 Apr →
cache13–8-0.0418%29 Apr →
cache7–10.0312%29 Apr →
cache1–13-0.1118%29 Apr →
overpass7–13-0.0419%22 Apr →
dust21–13-0.0336%16 Apr →
inferno3–13-0.0524%16 Apr →
dust21–13-0.0729%14 Apr →
mirage13–70.0219%14 Apr →
dust213–9-0.0417%14 Apr →
dust211–13-0.0714%14 Apr →
inferno13–20.0511%12 Apr →
mirage13–11-0.0218%10 Apr →
mirage9–13-0.0119%10 Apr →
dust213–50.0222%10 Apr →
inferno13–7-0.0318%9 Apr →
inferno13–8-0.0627%9 Apr →
dust213–11-0.0417%9 Apr →
inferno16–14-0.018%9 Apr →
inferno9–13-0.0812%9 Apr →
mirage11–130.0225%9 Apr →
dust213–100.0124%9 Apr →
mirage13–30.1116%9 Apr →
mirage13–80.0125%9 Apr →
dust213–100.0721%9 Apr →
dust29–13-0.0213%9 Apr →
mirage13–11-0.057%8 Apr →
mirage13–7-0.0814%8 Apr →
inferno11–13-0.0418%8 Apr →
mirage13–60.1944%8 Apr →
dust213–90.0728%8 Apr →
dust211–13-0.0312%8 Apr →
mirage13–00.0826%8 Apr →
mirage13–110.0424%8 Apr →
dust29–130.0426%7 Apr →
dust214–160.1522%7 Apr →
inferno13–50.0818%7 Apr →
dust213–20.1911%7 Apr →
mirage13–30.0510%7 Apr →
nuke13–3-0.028%7 Apr →
nuke4–13-0.0722%7 Apr →
ancient13–90.0214%7 Apr →
nuke16–140.0724%7 Apr →
overpass5–130.0024%7 Apr →
dust213–40.0719%6 Apr →
mirage13–60.0215%6 Apr →
mirage13–40.1426%6 Apr →
mirage13–5-0.0017%6 Apr →
overpass10–130.0225%5 Apr →
mirage13–40.1620%5 Apr →
dust213–20.0817%5 Apr →
inferno13–20.2629%5 Apr →
dust213–100.0815%5 Apr →
dust213–100.0719%5 Apr →
nuke13–60.1018%5 Apr →
dust213–60.0038%5 Apr →
nuke0–13-0.0533%5 Apr →
inferno1–13-0.0833%4 Apr →
ancient1–13-0.0925%4 Apr →
nuke4–13-0.1118%4 Apr →
dust22–13-0.0831%4 Apr →
nuke2–13-0.1211%4 Apr →
ancient4–13-0.0631%4 Apr →
dust25–13-0.1013%4 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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