eWicked

eWicked — CS2 Stats

76561198145577133[U:1:185311405]Steam profile ↗✓ No bans

4,154Tracked matches48%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 4,154
0.0ppWin rate · 48.3% → 48.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 11 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,130 +425 18 May20 Jun · 5 days played
15,70517,202peak 17,20218 May20 Jun
17,202Peak Premier in tracked matches
45Days played since 2026-01-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim77
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY58411Last 10058%Win rateLWWWLWLLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −19ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 491ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.7
Utility5.6
Positioning5.3
Opening Duels3.1
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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 46% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.7
Positioning5.3
Utility5.6
Mechanics6.0
Opening Duels2.0
Win Impact4.4

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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time571ms−60ms
first ⅓ avg 630ms → last ⅓ avg 571ms
Headshot accuracy22.2%+1.5%
first ⅓ avg 20.7% → last ⅓ avg 22.2%

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

0.13Best match rating · 13–0 · inferno, 29 Apr
44%Best headshot accuracy · 13–8 · ancient, 21 Jul
375msFastest reaction time · 13–4 · dust2, 7 Sept
13–0Biggest win · inferno, 29 Apr

Across the last 100 tracked matches.

Highlights

6Longest win streak
1013In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 73% over 11dust2Weakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
ancientB22111150%-0.00
dust2B1991047%-0.00
infernoA1710759%0.01
anubisB126650%0.00
cacheS118373%-0.01
nukeA74357%-0.01
train43175%-0.01
mirage32167%-0.01
overpass220100%-0.01
vertigo220100%0.03
cbble_d110100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,704Matches
50%Win rate
1.07Avg K/D
76.9ADR
50%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis28853%1.0115.5
Ancient26255%1.0315.8
Inferno15251%1.0615.5
Dust212749%0.9814.5
Nuke12546%1.0916.0
Mirage9338%0.9413.7
Overpass4439%0.9616.7
Vertigo3546%1.0916.6

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.

21.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.3%Spray accuracy
77.0%Counter-strafing
8.4°Preaim
564msReaction time
27.4%T opening success
45.6%CT opening success
0.57Enemies flashed / flash
13.5%Flash assists
11.15HE damage / grenade
4.36Flashes / 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 27.4291% — below the 40% mark we flag

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.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0127%7 Sept
dust213–40.0322%7 Sept
cache13–80.0420%29 Aug
inferno13–70.0328%29 Aug
ancient12–16-0.0118%29 Aug
anubis16–14-0.0514%29 Aug
dust29–13-0.0321%27 Aug
cache10–13-0.0422%23 Aug
train14–16-0.0322%17 Aug
ancient13–40.0419%17 Aug
dust28–13-0.0529%13 Aug
inferno13–11-0.0118%13 Aug
ancient13–50.0214%11 Aug
anubis13–160.0223%8 Aug
ancient6–13-0.0810%8 Aug
anubis13–11-0.0017%7 Aug
cache13–11-0.0626%1 Aug
cache11–13-0.0219%29 Jul
dust214–16-0.0624%29 Jul
ancient15–15-0.0222%21 Jul
ancient13–80.0644%21 Jul
inferno13–100.0325%11 Jul
ancient13–160.0520%20 Jun
dust213–90.0619%20 Jun
inferno19–15-0.0328%19 Jun
cache13–11-0.0331%19 Jun
anubis10–130.0622%15 Jun
inferno14–160.0319%15 Jun
dust211–13-0.0210%15 Jun
dust28–130.0210%15 Jun
dust213–8-0.0127%13 Jun
ancient11–130.0425%13 Jun
nuke13–10.0135%13 Jun
inferno13–10.0320%13 Jun
anubis13–40.0522%13 Jun
ancient10–13-0.0619%11 Jun
nuke13–80.0227%9 Jun
anubis14–16-0.0111%9 Jun
ancient13–11-0.0420%8 Jun
nuke13–8-0.0117%8 Jun
cache13–7-0.0226%8 Jun
inferno13–70.0417%5 Jun
dust213–8-0.0215%5 Jun
anubis13–11-0.037%5 Jun
inferno12–160.0017%4 Jun
mirage13–90.0219%29 May
cache13–7-0.0210%29 May
ancient11–13-0.0522%29 May
cache19–160.0319%29 May
ancient10–130.0434%29 May
inferno10–130.0319%28 May
ancient13–7-0.0213%28 May
nuke16–12-0.0512%24 May
dust213–60.0419%24 May
anubis13–5-0.0325%23 May
ancient9–13-0.0517%23 May
cache13–30.0323%23 May
ancient13–4-0.0510%23 May
ancient13–11-0.0116%18 May
dust211–130.0725%14 May
overpass13–100.0014%13 May
dust216–14-0.0120%6 May
inferno1–13-0.0727%6 May
cache13–5-0.0321%5 May
inferno13–16-0.0818%5 May
ancient13–90.0727%5 May
ancient13–10-0.0510%30 Apr
ancient11–130.0318%30 Apr
ancient13–60.1012%30 Apr
inferno13–00.1326%29 Apr
ancient13–100.0211%29 Apr
dust213–10.0121%29 Apr
inferno13–20.1222%29 Apr
anubis11–130.0113%29 Apr
anubis8–13-0.0910%23 Apr
inferno10–13-0.0221%23 Apr
dust23–130.0024%19 Apr
inferno13–8-0.0220%19 Apr
overpass13–11-0.0221%19 Apr
nuke5–130.0222%17 Apr
dust213–60.0619%16 Apr
ancient4–13-0.0616%2 Apr
anubis13–80.0626%23 Jan
inferno5–13-0.0524%23 Jan
dust29–13-0.0629%22 Jan
mirage13–40.0217%22 Jan
cbble_d13–10.0117%21 Jan
vertigo13–50.0418%21 Jan
train13–90.0020%21 Jan
nuke5–13-0.0120%20 Jan
dust27–13-0.0121%20 Jan
nuke9–13-0.0611%20 Jan
dust211–13-0.0118%17 Jan
mirage3–13-0.0626%17 Jan
train11–3-0.0143%16 Jan
inferno13–70.0630%16 Jan
anubis11–130.018%16 Jan
train13–9-0.0125%11 Jan
dust216–13-0.0329%11 Jan
vertigo13–90.0225%11 Jan

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 →