ewok

ewok — CS2 Stats

ET76561198048156140[U:1:87890412]Steam profile ↗✓ No bans

609Tracked matches40%Win rate2020Tracked since
4,977Hours in CS0Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+23Tracked matches · now 609
−6.7ppWin rate · 46.7% → 40.0%

Rating over time

1,717Highest Faceit ELO seen on CSDB
31Days played since 2026-06-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate61.7%48.2%50.9%above
Shot accuracy13.3%13.2%13.7%0.4% short
Kill/death ratio0.831.071.090.26 short
Match win rate47.4%46.9%48.4%1.0% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGewokFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,717csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning62
Utility36

0–100 skill scores via Leetify.

Recent form

COLD40–45–15Last 10040%Win rateLLTTLLWLLL

Last 10 vs previous 10: −70pp win rate · −0.11 avg rating · +1.8pp headshot accuracy · −63ms reaction

Win rate down 70pp 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 587ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 28%
  • Avg reaction 592ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 623ms

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 (+1.9 against its own average).

Aim6.7
Utility3.6
Positioning6.2
Opening Duels4.6
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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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. 655ms 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

Aim6.7
Positioning6.2
Utility3.6
Mechanics5.4
Opening Duels4.4
Win Impact1.7

Composite 5.2/10 (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+0.05
first ⅓ avg -0.05 → last ⅓ avg 0.00
Reaction time616ms−6ms
first ⅓ avg 622ms → last ⅓ avg 616ms
Headshot accuracy26.2%−0.2%
first ⅓ avg 26.4% → last ⅓ avg 26.2%

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

0.35Best match rating · 9–1 · inferno, 29 Aug →
68%Best headshot accuracy · 8–8 · inferno, 5 Jul →
367msFastest reaction time · 3–9 · inferno, 22 Aug →
13–1Biggest win · vertigo, 25 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
8–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 67% over 6infernoWeakest map · 41% over 83
MapGradePlayedRecordWin rateAvg rating
infernoC8334–4941%-0.02
mirageS64–267%-0.03
dust2—40–40%-0.03
nuke—31–233%0.05
anubis—20–20%-0.04
vertigo—11–0100%0.08
cache—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 83). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,574Lifetime kills
0.83K/D
6,358Matches
47.4%Match win rate · Top 50% of Level 9 players
61.7%Headshot % · Top 10% of Level 9 players
13.3%Shot accuracy · Top 50% of Level 9 players
20,068MVPs
3,212Hours (in match)
7,219Bombs planted
1,274Bombs defused

Most-used weapons

AK-4774,327
AWP7,325
MP92,995
Knife2,235
SG 5532,028

Lifetime map wins

14,014inferno
10,229lake
9,690dust2
1,726vertigo
1,492nuke
1,408office
1,395assault
639italy

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

Faceit stats

Combat

1,464Matches
51%Win rate
1.17Avg K/D
85.5ADR
52%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage15550%1.0616.6
Inferno8254%1.1617.5
Dust27650%1.0816.6
Anubis4747%1.0716.7
Ancient3732%0.9916.8
Vertigo2857%1.1418.4
Nuke2846%1.1918.7
Cache1267%1.3518.4

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.

25.0%Headshot accuracy
31.7%Accuracy (enemy spotted)
38.2%Spray accuracy
74.4%Counter-strafing
9.2°Preaim
655msReaction time
42.4%T opening success
52.6%CT opening success
0.62Enemies flashed / flash
2.6%Flash assists
7.09HE damage / grenade
2.59Flashes / 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

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

    Flashes per match 2.587 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

41% win rate across 83 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0718%12 Oct →
dust23–13-0.0122%25 Sept →
inferno8–80.0332%24 Sept →
inferno8–8-0.0529%23 Sept →
inferno3–9-0.1026%13 Sept →
inferno3–9-0.0328%13 Sept →
inferno9–50.0433%13 Sept →
inferno6–9-0.1642%12 Sept →
inferno5–9-0.0629%30 Aug →
nuke11–130.0620%30 Aug →
dust26–13-0.0631%30 Aug →
mirage5–13-0.0429%29 Aug →
inferno9–10.3524%29 Aug →
inferno9–50.1222%29 Aug →
inferno9–10.0516%29 Aug →
inferno9–40.1222%29 Aug →
inferno9–60.0630%29 Aug →
inferno13–50.0430%27 Aug →
inferno13–110.0632%27 Aug →
nuke13–60.0124%26 Aug →
inferno13–60.1617%25 Aug →
vertigo13–10.0814%25 Aug →
dust210–13-0.0023%25 Aug →
cache9–130.0233%24 Aug →
mirage13–10-0.0533%23 Aug →
nuke10–130.0824%23 Aug →
inferno8–8-0.2517%22 Aug →
inferno6–9-0.0338%22 Aug →
inferno9–7-0.0333%22 Aug →
inferno6–9-0.0533%22 Aug →
inferno3–9-0.2128%22 Aug →
inferno7–9-0.0213%22 Aug →
inferno8–8-0.0118%19 Aug →
inferno9–6-0.0221%19 Aug →
inferno9–4-0.0132%19 Aug →
inferno13–80.1035%19 Aug →
mirage13–10-0.0316%9 Aug →
mirage13–7-0.0325%5 Aug →
mirage13–9-0.0130%15 Jul →
inferno7–9-0.1420%8 Jul →
inferno9–40.0131%8 Jul →
inferno8–80.0940%8 Jul →
inferno3–9-0.0436%8 Jul →
mirage10–13-0.0021%7 Jul →
anubis6–130.0418%7 Jul →
inferno8–80.0526%7 Jul →
inferno8–80.0868%5 Jul →
inferno9–10.2822%5 Jul →
inferno9–70.1741%5 Jul →
inferno5–9-0.0636%5 Jul →
inferno9–7-0.1018%5 Jul →
inferno9–50.1020%5 Jul →
inferno9–30.1216%5 Jul →
inferno1–9-0.2018%5 Jul →
inferno9–00.2221%5 Jul →
inferno3–9-0.1624%5 Jul →
inferno9–5-0.0216%5 Jul →
inferno9–50.0525%4 Jul →
inferno5–9-0.0325%3 Jul →
inferno9–70.0826%3 Jul →
inferno4–9-0.1026%3 Jul →
inferno9–70.0626%3 Jul →
inferno4–9-0.1013%3 Jul →
inferno2–9-0.157%2 Jul →
inferno2–90.0019%2 Jul →
inferno8–8-0.1128%2 Jul →
inferno3–9-0.1717%1 Jul →
inferno4–9-0.1019%1 Jul →
dust29–13-0.0514%29 Jun →
anubis8–13-0.1119%29 Jun →
inferno8–8-0.0615%29 Jun →
inferno2–9-0.1212%29 Jun →
inferno9–20.1324%29 Jun →
inferno8–80.0127%29 Jun →
inferno8–8-0.0423%29 Jun →
inferno9–6-0.200%29 Jun →
inferno1–9-0.1428%29 Jun →
inferno8–8-0.0125%28 Jun →
inferno9–20.1244%28 Jun →
inferno9–40.0821%28 Jun →
inferno7–9-0.0939%28 Jun →
inferno9–70.0330%28 Jun →
inferno8–8-0.0423%28 Jun →
inferno8–8-0.0727%27 Jun →
inferno3–9-0.1426%27 Jun →
inferno1–9-0.2238%27 Jun →
inferno5–9-0.1137%27 Jun →
inferno1–9-0.2313%25 Jun →
inferno9–20.1043%25 Jun →
inferno9–7-0.0135%25 Jun →
inferno3–9-0.1021%25 Jun →
inferno5–9-0.1253%25 Jun →
inferno5–9-0.0620%25 Jun →
inferno5–9-0.1030%24 Jun →
inferno9–40.1042%24 Jun →
inferno8–80.0028%24 Jun →
inferno4–9-0.1127%24 Jun →
inferno6–90.0523%24 Jun →
inferno9–5-0.0323%24 Jun →
inferno9–40.0023%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.