howl enjoyer

howl enjoyer — CS2 Stats

76561197960742750[U:1:477022]Steam profile ↗

5,561Tracked matches79%Win rate2020Tracked since
CSDB Rating7.6 StrongAggressive Rifler
Premier CS Rating26,564Top 25% of 819 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#1376 of 19302 tracked
FaceitLevel 10 · 2,594 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGhowl enjoyerFACEITLevel 10 · 2,594 ELOSTANDINGTop 12.4% of rankedPREMIER26,564 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning57
Utility72

0–100 skill scores via Leetify.

Recent form

HOT63361Last 10063%Win rateWWWWLWWWWT

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression8.1
Utility7.2
Positioning5.7
Opening Duels3.6
Clutch4.8

Sharp aimerStrong CT-side opener

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.7
Utility7.2
Mechanics6.9
Opening Duels4.1
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time461ms−66ms
first ⅓ avg 527ms → last ⅓ avg 461ms
Headshot accuracy18.9%+1.4%
first ⅓ avg 17.5% → last ⅓ avg 18.9%

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

0.12Best rating — dust2 7–1
130Biggest win — nuke
15Longest win streak
W4Current streak
45In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 82% over 11cacheWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoS2015575%0.04
dust2C1771041%0.01
cacheD1441029%0.02
nukeS129375%0.01
anubisS119282%0.02
mirageS86275%0.03
overpassS64267%0.02
vertigo42250%0.00
train330100%0.07
ancient21150%0.05
shelter220100%0.07
boulder110100%0.11

Across the last 100 tracked matches.

Faceit stats

Combat

1,877Matches
52%Win rate
1.20Avg K/D
82.6ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno10065%1.3817.9
Anubis9551%1.2015.8
Nuke9259%1.2916.1
Dust28055%1.1715.5
Ancient7149%1.2617.3
Overpass3754%1.2818.4
Mirage2748%1.0013.4
Train2157%1.4217.5

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.

18.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.0%Spray accuracy
81.0%Counter-strafing
8.3°Preaim
478msReaction time
26.1%T opening success
62.5%CT opening success
0.67Enemies flashed / flash
10.2%Flash assists
8.56HE damage / grenade
11.15Flashes / 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 26.0711% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–80.0924%26 Aug
nuke13–5-0.0118%26 Aug
cache13–80.029%26 Aug
cache13–40.0424%26 Aug
dust23–13-0.0413%25 Aug
nuke13–110.0022%25 Aug
anubis13–100.0229%25 Aug
dust27–10.1228%25 Aug
cache13–70.0117%25 Aug
dust212–120.0320%25 Aug
cache2–13-0.0814%25 Aug
dust27–13-0.0128%24 Aug
dust28–13-0.0221%21 Aug
cache11–13-0.0214%20 Aug
boulder13–50.1122%20 Aug
inferno13–11-0.0015%20 Aug
inferno13–70.1212%20 Aug
anubis13–50.0526%19 Aug
inferno13–80.0312%19 Aug
inferno13–60.0714%19 Aug
anubis13–40.1017%19 Aug
ancient13–80.0414%18 Aug
dust213–80.0416%18 Aug
nuke13–100.0513%18 Aug
inferno13–100.0216%18 Aug
mirage2–00.000%18 Aug
mirage13–10.0228%18 Aug
dust213–9-0.0523%18 Aug
nuke13–70.0817%18 Aug
cache9–130.0627%18 Aug
cache6–13-0.0234%18 Aug
cache4–13-0.0113%17 Aug
ancient10–130.0625%17 Aug
train13–90.0732%17 Aug
nuke13–00.0316%17 Aug
vertigo13–40.0524%17 Aug
shelter13–80.0613%16 Aug
train13–70.0818%16 Aug
inferno13–100.0712%16 Aug
dust26–13-0.0327%16 Aug
nuke10–13-0.0018%16 Aug
overpass13–60.0110%16 Aug
anubis13–50.1121%16 Aug
anubis13–8-0.0518%16 Aug
overpass13–80.0427%15 Aug
vertigo9–13-0.0218%15 Aug
mirage13–60.1128%15 Aug
nuke13–80.1015%12 Aug
cache6–130.0231%12 Aug
dust23–130.0321%12 Aug
overpass9–13-0.0517%10 Aug
train13–90.0722%10 Aug
cache9–130.0418%10 Aug
anubis5–13-0.0516%10 Aug
nuke13–50.0010%10 Aug
overpass13–70.1231%10 Aug
inferno13–100.0422%9 Aug
anubis8–130.0131%9 Aug
inferno9–13-0.0115%9 Aug
anubis13–80.0216%4 Aug
mirage13–7-0.0111%4 Aug
cache10–130.0725%4 Aug
inferno13–70.0821%3 Aug
inferno13–40.0928%3 Aug
nuke13–7-0.0419%3 Aug
dust213–5-0.0138%3 Aug
inferno13–100.105%2 Aug
dust23–130.0024%2 Aug
inferno6–13-0.0011%2 Aug
mirage8–13-0.0516%2 Aug
dust213–50.0313%31 Jul
cache11–130.0818%31 Jul
vertigo11–13-0.0614%30 Jul
vertigo13–70.0526%30 Jul
inferno6–13-0.0319%30 Jul
inferno13–80.0739%30 Jul
dust20–5-0.0420%28 Jul
shelter13–20.0922%27 Jul
dust213–90.0720%27 Jul
mirage7–13-0.0316%27 Jul
cache7–130.0315%27 Jul
dust22–13-0.020%26 Jul
inferno13–9-0.028%26 Jul
inferno5–00.0418%26 Jul
anubis13–9-0.0111%25 Jul
dust211–130.0524%23 Jul
overpass7–13-0.044%23 Jul
inferno13–110.0112%23 Jul
inferno12–60.0614%22 Jul
anubis13–10-0.0318%22 Jul
mirage13–50.0811%20 Jul
overpass13–80.0218%20 Jul
nuke11–13-0.0513%20 Jul
inferno3–130.0428%20 Jul
dust213–20.0820%20 Jul
cache13–100.0625%20 Jul
anubis13–40.0721%19 Jul
nuke1–13-0.1014%19 Jul
inferno10–130.0620%19 Jul
nuke13–50.0226%19 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches15-Win Streak
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