Wouvess

Wouvess — CS2 Stats

CA76561198291234788[U:1:330969060]Steam profile ↗✓ No bans

185Tracked matches67%Win rate2020Tracked since
CSDB Rating3.7 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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

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Performance scores

Aim27
Positioning35
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateLTWWWWWLLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Aim2.7
Aggression0.1
Utility3.8
Positioning3.5
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 63% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 696ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning3.5
Utility3.8
Mechanics4.3
Opening Duels0.0
Win Impact10.0

Composite 3.7/10 (Learning), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time686ms+49ms
first ⅓ avg 637ms → last ⅓ avg 686ms
Headshot accuracy13.0%+2.1%
first ⅓ avg 11.0% → last ⅓ avg 13.0%

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

0.17Best rating — overpass 2–6
130Biggest win — inferno
5Longest win streak
106In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 75% over 8vertigoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B26131350%-0.00
ancientB168850%-0.02
mirageA169756%-0.02
infernoA159660%-0.01
nukeB84450%-0.02
trainS86275%-0.03
vertigoC73443%0.00
overpass42250%0.06

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

59Matches
42%Win rate
1.00Avg K/D
61.8ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%1.4516.0
Dust210%0.477.0
Nuke10%0.7512.0
Ancient10%0.428.0

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.

13.1%Headshot accuracy
29.6%Accuracy (enemy spotted)
32.3%Spray accuracy
69.2%Counter-strafing
12.1°Preaim
696msReaction time
18.8%T opening success
15.7%CT opening success
0.51Enemies flashed / flash
6.8%Flash assists
6.44HE damage / grenade
3.57Flashes / 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 12.0688° — above the 12° mark we flag

    Aim Training
  2. 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 13.0702% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

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

    Flashes per match 3.5685 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Vertigo

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–7-0.0112%1 Jan
nuke12–120.019%1 Jan
ancient13–60.0218%31 Dec
ancient13–80.0011%30 Dec
inferno13–00.0430%30 Dec
dust213–30.0113%30 Dec
dust213–10.1024%30 Dec
overpass3–13-0.0721%23 Dec
dust25–130.0123%14 Dec
inferno2–13-0.0713%14 Dec
ancient13–4-0.048%7 Dec
ancient7–1-0.050%7 Dec
train13–11-0.0712%5 Dec
inferno13–60.078%3 Dec
dust213–90.006%3 Dec
ancient12–12-0.0618%30 Nov
mirage0–13-0.085%29 Nov
nuke10–130.0119%27 Nov
mirage11–5-0.048%27 Nov
mirage13–70.0213%25 Nov
dust212–12-0.026%24 Nov
nuke13–5-0.0112%24 Nov
ancient3–60.0012%22 Nov
overpass13–110.0714%22 Nov
overpass13–60.0713%21 Nov
ancient7–13-0.087%20 Nov
inferno13–6-0.0212%19 Nov
nuke13–8-0.038%19 Nov
train2–13-0.055%19 Nov
dust213–110.0224%19 Nov
dust25–13-0.0218%9 Nov
dust27–13-0.0217%9 Nov
ancient12–12-0.0710%8 Nov
dust29–13-0.0313%7 Nov
mirage6–130.0219%7 Nov
dust213–11-0.0412%7 Nov
mirage3–13-0.0910%25 Oct
dust212–12-0.0216%28 Apr
vertigo11–13-0.0119%28 Apr
nuke7–3-0.0821%28 Apr
dust28–130.0218%17 Mar
inferno4–13-0.049%17 Mar
mirage13–11-0.0117%16 Mar
nuke14–160.0214%16 Mar
ancient16–13-0.0416%16 Mar
mirage16–14-0.024%16 Mar
dust211–130.0115%16 Mar
inferno13–11-0.027%12 Mar
inferno16–12-0.039%11 Mar
mirage5–130.067%11 Mar
dust213–30.1012%11 Mar
ancient10–13-0.0113%10 Mar
ancient7–13-0.069%10 Mar
dust27–13-0.019%8 Mar
dust213–10-0.0118%4 Mar
mirage13–3-0.0121%4 Mar
dust213–50.0020%4 Mar
overpass2–60.1718%2 Mar
ancient13–110.0113%2 Mar
train13–8-0.0710%2 Mar
mirage12–120.0114%28 Feb
train7–13-0.0012%25 Feb
mirage13–9-0.0420%25 Feb
dust213–1-0.0112%25 Feb
dust213–70.079%25 Feb
dust210–13-0.104%18 Feb
nuke8–13-0.058%16 Feb
nuke13–4-0.0219%15 Feb
dust22–8-0.080%20 Jan
inferno13–20.0611%20 Jan
vertigo11–13-0.087%17 Dec
train13–6-0.0610%17 Dec
dust213–8-0.0117%16 Dec
ancient11–130.0320%11 Dec
inferno10–13-0.086%10 Dec
train13–40.0327%2 Dec
train13–10-0.029%2 Dec
train13–70.0111%2 Dec
vertigo5–10-0.0311%23 Apr
dust213–80.0316%20 Apr
ancient13–100.094%20 Apr
dust211–13-0.019%16 Apr
dust26–1-0.0411%4 Apr
inferno13–80.0519%4 Apr
mirage13–11-0.0214%3 Apr
mirage0–6-0.080%2 Apr
inferno10–13-0.048%2 Apr
mirage13–6-0.0313%2 Apr
inferno12–12-0.038%1 Apr
mirage13–6-0.018%31 Mar
ancient13–8-0.0613%24 Mar
ancient7–13-0.0111%24 Mar
inferno6–13-0.096%17 Mar
vertigo1–00.000%17 Mar
inferno9–00.0818%17 Mar
vertigo13–80.0812%10 Mar
vertigo13–80.0214%4 Mar
mirage7–13-0.0312%4 Mar
vertigo10–130.0510%28 Feb
inferno13–20.0412%27 Feb

Match data via Leetify.

Recent teammates

Milestones

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