Wuolle

Wuolle — CS2 Stats

FI76561198068773103[U:1:108507375]Steam profile ↗✓ No bans

1,124Tracked matches48%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,124 tracked matches. Play, then come back: the next observation lands here.

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. 47 days played since 10 Apr 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,995 -2,215 6 May4 Jul · 23 days played
19,89223,210peak 23,2106 May4 Jul
23,496Peak Premier in tracked matches
47Days played since 2023-04-10

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

Share this profile

CSDB.GGWuolleFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning56
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateWLLWWWLWLL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +4.1pp headshot accuracy · +34ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 684ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 689ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 672ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim5.6
Utility4.0
Positioning5.6
Opening Duels3.8
Clutch2.6

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

ZywOo

Plays most like ZywOo 82% 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

Reaction time. 657ms 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

Aim5.6
Positioning5.6
Utility4.0
Mechanics7.4
Opening Duels2.7
Win Impact4.4

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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time653ms−40ms
first ⅓ avg 692ms → last ⅓ avg 653ms
Headshot accuracy21.2%−0.3%
first ⅓ avg 21.4% → last ⅓ avg 21.2%

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

0.20Best match rating · 13–6 · overpass, 8 Nov
38%Best headshot accuracy · 13–8 · cache, 2 May
508msFastest reaction time · 5–13 · mirage, 1 Jun
13–2Biggest win · nuke, 3 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
611In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 62% over 21infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC2291341%-0.01
nukeA2113862%0.01
ancientA116555%-0.01
overpassA116555%0.01
infernoD113827%-0.02
dust2B115645%-0.01
cacheD62433%0.01
anubisC52340%-0.03
train21150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,378Matches
51%Win rate
1.02Avg K/D
54.9ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
50%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.7413.0
Anubis10%0.336.0
Ancient10%0.6712.0

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.

20.7%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.5%Spray accuracy
83.3%Counter-strafing
11.1°Preaim
657msReaction time
34.2%T opening success
47.4%CT opening success
0.41Enemies flashed / flash
2.4%Flash assists
8.85HE damage / grenade
9.12Flashes / 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 0.4084 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 34.2291% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0517%5 Aug
mirage8–13-0.0321%4 Jul
mirage10–13-0.0214%3 Jul
nuke13–20.0727%3 Jul
ancient13–3-0.0435%3 Jul
nuke13–6-0.0233%30 Jun
mirage8–13-0.0621%13 Jun
nuke13–7-0.059%13 Jun
overpass0–13-0.0326%13 Jun
overpass11–13-0.0214%13 Jun
inferno8–13-0.0721%3 Jun
mirage13–16-0.0514%3 Jun
dust213–11-0.0615%3 Jun
cache8–130.0024%2 Jun
cache8–130.0520%2 Jun
mirage5–13-0.0613%1 Jun
overpass14–16-0.0716%1 Jun
nuke13–30.1024%1 Jun
anubis13–5-0.0110%1 Jun
overpass14–16-0.0220%24 May
mirage13–90.0221%24 May
ancient13–110.0319%20 May
cache7–130.0626%5 May
overpass9–13-0.1017%3 May
ancient13–90.0324%3 May
cache12–12-0.0127%3 May
cache13–8-0.0138%2 May
cache13–7-0.0329%2 May
mirage6–13-0.0428%27 Apr
inferno13–70.0011%27 Apr
inferno16–13-0.0117%26 Apr
mirage13–60.0121%26 Apr
nuke16–120.0526%26 Apr
dust22–13-0.0927%26 Apr
nuke11–130.0124%7 Mar
ancient11–13-0.025%7 Mar
nuke13–40.0920%7 Mar
nuke3–13-0.0617%26 Feb
dust25–13-0.0314%26 Feb
dust28–130.0719%25 Feb
nuke13–5-0.0116%25 Feb
mirage13–11-0.0210%25 Feb
mirage6–13-0.0117%24 Feb
dust25–130.0415%24 Feb
mirage5–1-0.0711%23 Feb
dust216–130.0216%23 Feb
anubis8–130.0137%23 Feb
nuke13–80.0422%23 Feb
mirage13–9-0.0121%22 Feb
nuke11–13-0.0218%20 Feb
mirage13–50.0114%20 Feb
mirage2–9-0.0225%16 Feb
inferno14–16-0.0324%16 Feb
mirage6–130.0115%16 Feb
mirage5–130.0721%16 Feb
inferno7–13-0.0029%9 Feb
anubis7–13-0.0626%9 Feb
nuke14–160.0229%7 Feb
overpass13–100.0413%7 Feb
inferno11–130.0421%7 Feb
inferno3–13-0.0925%1 Feb
mirage2–13-0.0319%1 Feb
overpass13–110.0112%1 Feb
nuke13–11-0.0128%30 Jan
ancient6–130.0118%22 Aug
mirage13–6-0.0035%22 Aug
dust213–6-0.0619%30 Jul
nuke7–13-0.0126%4 Jun
ancient16–13-0.0320%2 Jun
inferno9–130.0211%2 Jun
ancient10–13-0.0417%31 May
train9–13-0.0510%20 May
inferno2–13-0.0626%18 May
ancient7–13-0.0221%18 May
train13–80.0527%18 May
inferno10–130.0217%18 May
nuke7–13-0.0128%17 May
inferno13–7-0.0722%16 May
mirage11–13-0.0117%16 May
anubis3–0-0.010%6 May
nuke16–13-0.0311%4 May
dust216–140.0237%4 May
mirage16–13-0.0321%3 May
mirage12–160.0619%3 May
dust29–13-0.0628%2 May
nuke13–70.0715%2 May
ancient13–80.0523%2 May
ancient13–60.0029%2 May
mirage13–100.0728%2 May
dust213–7-0.0122%22 Mar
overpass13–3-0.0511%22 Mar
ancient6–12-0.0330%11 Feb
dust212–12-0.0119%2 Feb
nuke13–70.0423%2 Feb
overpass13–40.1327%9 Nov
nuke10–130.0237%9 Nov
overpass13–60.2018%8 Nov
nuke11–13-0.0217%26 Nov
anubis6–13-0.0829%26 Nov
overpass16–120.0824%10 Apr

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 →