Wolfie — CS2 Stats

76561198986992960[U:1:1026727232]

661Tracked matches60%Win rate2023Tracked since
799Hours in CS9Hrs last 2 wks
CSDB Rating5.7 SolidPassive Rifler
WingmanSupreme Master First Class
Ladder ranks via Leetify

Performance scores

Aim83
Positioning40
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY61363Last 10061%Win rateLWWLWLWWWL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.3
Aggression4.3
Utility6.0
Positioning4.0
Opening Duels0.1
Clutch3.8

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 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Reaction time. 567ms 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

Aim8.3
Positioning4.0
Utility6.0
Mechanics8.2
Opening Duels1.0
Win Impact8.3

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time580ms+58ms
first ⅓ avg 522ms → last ⅓ avg 580ms
Headshot accuracy22.9%+5.3%
first ⅓ avg 17.7% → last ⅓ avg 22.9%

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.

Highlights

0.18Best rating — cache 13–9
130Biggest win — cache
5Longest win streak
911In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 83% over 6dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientS1813572%0.00
dust2D1551033%-0.00
cacheA148657%0.00
anubisS128467%0.02
infernoS107370%-0.02
nukeA106460%-0.03
mirageA95456%0.01
trainS65183%0.02
overpassS64267%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,587Lifetime kills
1.00K/D
1,099Matches
46.1%Match win rate
54.8%Headshot % · Top 25% of tracked players
2.9%Shot accuracy
2,134MVPs
496Hours (in match)
1,006Bombs planted
227Bombs defused

Most-used weapons

Lifetime map wins

1,315inferno
1,270dust2
741nuke
498vertigo
288train
38office
8italy
1ar_baggage

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

Faceit stats

Combat

234Matches
53%Win rate
1.05Avg K/D
78.6ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7151%0.9915.4
Dust24443%1.0915.5
Anubis3656%1.1115.2
Ancient3367%1.2316.0
Inferno1839%0.8613.9
Nuke1267%1.0115.5
Overpass540%1.1817.6
Vertigo5100%1.2016.0

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.

19.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
42.1%Spray accuracy
87.0%Counter-strafing
9.8°Preaim
567msReaction time
23.1%T opening success
37.9%CT opening success
0.59Enemies flashed / flash
8.3%Flash assists
9.78HE damage / grenade
7.36Flashes / 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 23.0932% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis11–130.0828%28 Aug
cache13–90.1824%17 Aug
ancient7–0-0.0336%17 Aug
inferno10–13-0.0215%15 Aug
anubis13–80.026%15 Aug
anubis3–130.0512%14 Aug
mirage5–2-0.0212%14 Aug
nuke13–3-0.0520%11 Aug
anubis9–10.0420%11 Aug
cache4–13-0.0513%11 Aug
inferno13–70.0718%11 Aug
ancient13–60.0214%11 Aug
mirage13–10-0.0016%10 Aug
dust211–13-0.0111%6 Aug
nuke1–5-0.1222%6 Aug
anubis13–6-0.0127%6 Aug
ancient13–80.0123%6 Aug
cache13–5-0.0728%31 Jul
ancient8–130.0418%24 Jul
nuke16–140.0014%14 Jul
cache11–13-0.0220%10 Jul
dust213–11-0.0331%10 Jul
nuke2–8-0.0138%7 Jul
ancient7–00.0633%7 Jul
cache13–11-0.0021%7 Jul
mirage11–130.0521%5 Jul
anubis13–60.0417%5 Jul
nuke11–13-0.0418%5 Jul
cache0–3-0.01100%4 Jul
anubis13–70.0419%4 Jul
mirage13–11-0.0112%4 Jul
dust213–100.1026%2 Jul
dust213–80.0324%2 Jul
cache13–00.0626%1 Jul
inferno0–13-0.010%1 Jul
anubis0–4-0.090%1 Jul
ancient13–7-0.067%1 Jul
inferno13–4-0.0323%1 Jul
dust213–4-0.0013%26 Jun
inferno13–9-0.0713%25 Jun
ancient9–13-0.0815%25 Jun
mirage16–140.0115%25 Jun
dust213–160.0022%25 Jun
train10–130.0540%23 Jun
mirage11–130.1021%23 Jun
dust23–13-0.0227%18 Jun
dust210–130.0725%17 Jun
dust24–13-0.0512%17 Jun
mirage13–110.0014%13 Jun
ancient7–10.0021%9 Jun
cache13–40.1226%8 Jun
ancient13–20.0915%8 Jun
dust214–16-0.0115%8 Jun
inferno13–30.0522%28 May
train13–50.0039%28 May
cache1–13-0.0725%28 May
ancient13–6-0.0936%28 May
overpass13–40.0514%28 May
dust21–13-0.0613%27 May
dust210–13-0.0523%27 May
anubis13–80.0721%27 May
train13–110.0125%27 May
overpass13–4-0.0529%25 May
mirage0–13-0.0415%24 May
ancient13–100.0617%24 May
cache13–110.0312%23 May
dust215–150.0121%22 May
ancient13–90.0414%22 May
cache10–13-0.0328%20 May
train13–10.0616%20 May
anubis13–11-0.0114%20 May
ancient12–120.0222%19 May
nuke13–10-0.0114%19 May
cache13–8-0.0314%19 May
inferno13–10-0.0824%19 May
overpass13–50.0120%19 May
nuke10–0-0.0214%16 May
cache10–13-0.0622%16 May
dust211–2-0.0240%14 May
overpass11–13-0.0721%14 May
ancient12–12-0.0217%14 May
anubis9–13-0.0724%12 May
ancient13–70.0114%12 May
train13–20.0512%12 May
inferno3–10-0.0720%11 May
anubis13–40.0217%10 May
inferno13–1-0.0327%10 May
ancient8–13-0.040%10 May
nuke13–70.0417%10 May
train13–8-0.067%9 May
ancient13–50.0216%9 May
cache13–7-0.0514%9 May
mirage11–13-0.0015%9 May
dust211–13-0.0217%8 May
nuke7–13-0.0213%7 May
ancient13–80.0423%7 May
overpass13–10-0.0223%6 May
nuke13–0-0.060%6 May
inferno13–4-0.0127%6 May
overpass11–13-0.0119%4 May

Match data via Leetify.

Recent teammates

Milestones

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