Woof Woof

Woof Woof — CS2 Stats

US76561198830469942[U:1:870204214]Steam profile ↗

456Tracked matches43%Win rate2021Tracked since
645Hours in CS6Hrs last 2 wks
CSDB Rating5.1 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate42.6%42.1%42.5%meets
Shot accuracy4.4%12.1%10.9%6.4% short
Kill/death ratio0.990.990.99meets
Match win rate42.3%43.9%44.2%1.9% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWoof WoofFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning55
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY4654Last 10046%Win rateWWLWLLWLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.4
Aggression6.9
Utility3.4
Positioning5.5
Opening Duels2.9
Clutch4.2

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.

Your pro match

ropz

Plays most like ropz 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 607ms 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

Aim6.4
Positioning5.5
Utility3.4
Mechanics6.4
Opening Duels2.9
Win Impact2.8

Composite 5.1/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time606ms−5ms
first ⅓ avg 611ms → last ⅓ avg 606ms
Headshot accuracy14.7%+0.0%
first ⅓ avg 14.7% → last ⅓ avg 14.7%

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

0.14Best rating — cache 13–3
131Biggest win — mirage
4Longest win streak
W2Current streak
711In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 86% over 7infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B21111052%-0.00
mirageB20101050%-0.01
nukeA148657%0.01
ancientD124833%-0.00
anubisD124833%-0.01
infernoD81713%0.00
cacheS76186%0.02
overpass31233%-0.04
vertigo21150%0.02
office1010%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,662Lifetime kills
0.99K/D
859Matches
42.3%Match win rate
42.6%Headshot % · Top 50% of Level 3 players
4.4%Shot accuracy
1,624MVPs
323Hours (in match)
688Bombs planted
206Bombs defused

Most-used weapons

Lifetime map wins

1,905dust2
725inferno
560nuke
533vertigo
248train
214office
26italy
11bank

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

Faceit stats

Combat

143Matches
49%Win rate
0.95Avg K/D
70.3ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3557%1.0811.9
Dust22050%0.9214.1
Anubis1947%0.8012.4
Ancient1436%1.0215.1
Inferno147%0.7411.5
Overpass1471%0.8315.3
Nuke1346%0.9414.3
Cache1070%1.1813.8

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.

15.0%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.7%Spray accuracy
79.0%Counter-strafing
10.6°Preaim
607msReaction time
40.4%T opening success
42.5%CT opening success
0.48Enemies flashed / flash
3.8%Flash assists
7.78HE damage / grenade
3.00Flashes / 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. 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 14.985% — below the 15% mark we flag

    Aim Training
  2. 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 0.4848 — below the 0.5 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–70.0916%22 Aug
cache13–30.0617%22 Aug
nuke7–13-0.0713%16 Aug
mirage13–60.0616%16 Aug
ancient6–13-0.0914%16 Aug
dust213–160.1117%13 Aug
mirage13–6-0.014%12 Aug
inferno1–13-0.029%10 Aug
ancient9–13-0.0522%9 Aug
anubis13–30.0516%9 Aug
inferno11–130.0515%9 Aug
dust28–12-0.0410%9 Aug
mirage5–13-0.058%9 Aug
inferno3–13-0.0913%9 Aug
cache13–30.1422%9 Aug
dust28–13-0.0012%9 Aug
cache13–5-0.0714%9 Aug
nuke8–13-0.0118%8 Aug
dust213–9-0.0023%8 Aug
nuke11–130.0116%8 Aug
dust213–80.0811%8 Aug
mirage12–10.077%8 Aug
ancient13–160.0520%8 Aug
vertigo7–130.0419%8 Aug
nuke16–14-0.0120%8 Aug
ancient13–80.0210%8 Aug
mirage11–13-0.0315%8 Aug
mirage13–9-0.0516%6 Aug
anubis10–13-0.047%6 Aug
dust22–13-0.0924%6 Aug
mirage13–10-0.0014%5 Aug
ancient6–130.0117%4 Aug
anubis9–13-0.0012%4 Aug
anubis9–13-0.0820%4 Aug
ancient6–13-0.0510%4 Aug
nuke13–60.0617%4 Aug
mirage1–8-0.0231%4 Aug
ancient13–9-0.0215%2 Aug
dust216–12-0.0413%2 Aug
ancient13–80.0412%2 Aug
nuke13–40.0112%2 Aug
ancient7–130.0011%2 Aug
anubis8–13-0.0410%2 Aug
nuke13–40.1322%2 Aug
nuke13–110.0416%1 Aug
dust213–80.1014%1 Aug
nuke11–13-0.0310%1 Aug
mirage14–16-0.038%1 Aug
anubis14–160.0424%1 Aug
mirage13–90.0413%31 Jul
nuke9–130.0518%31 Jul
cache10–13-0.0118%31 Jul
dust213–100.0122%30 Jul
inferno9–13-0.0423%30 Jul
mirage7–130.0224%28 Jul
mirage13–90.0117%28 Jul
ancient10–130.0617%28 Jul
anubis14–160.0212%27 Jul
ancient7–13-0.108%25 Jul
mirage9–13-0.0512%22 Jul
anubis16–130.0311%22 Jul
dust216–14-0.0118%19 Jul
anubis11–13-0.026%18 Jul
dust213–80.0621%15 Jul
anubis13–110.0313%15 Jul
anubis13–16-0.044%12 Jul
mirage4–130.0110%11 Jul
nuke13–10-0.049%11 Jul
cache13–10-0.037%11 Jul
dust213–50.0528%11 Jul
mirage9–13-0.0419%11 Jul
cache13–5-0.0116%23 Jun
inferno8–130.0222%23 Jun
inferno5–130.0611%22 Jun
overpass13–80.0210%13 Jun
overpass2–13-0.1017%29 May
dust211–130.0121%26 May
inferno13–50.0519%25 May
overpass14–16-0.0418%24 May
mirage16–140.0327%23 May
nuke13–11-0.0319%23 May
cache13–110.0423%2 May
dust23–130.0213%20 Apr
mirage10–13-0.0316%16 Apr
nuke13–60.0411%8 Apr
office9–130.0813%5 Apr
vertigo13–50.0116%5 Apr
mirage16–12-0.048%2 Apr
mirage2–13-0.0716%25 Mar
dust213–4-0.047%24 Mar
dust210–13-0.0713%22 Mar
anubis13–9-0.0211%11 Mar
mirage13–10.029%9 Mar
dust26–13-0.0514%8 Mar
inferno6–13-0.0124%8 Mar
dust28–13-0.0213%3 Mar
nuke9–13-0.067%1 Mar
dust211–13-0.026%4 Feb
dust213–100.0111%3 Feb
dust213–10-0.0410%18 Jan

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 →