howl enjoyer

howl enjoyer — CS2 Stats

76561197960742750[U:1:477022]Steam profile ↗✓ No bans

5,678Tracked matches59%Win rate2020Tracked since
CSDB Rating7.3 StrongSupport
Premier CS Rating27,642Top 5% of 212,695 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3751 of 259559 tracked
FaceitLevel 10 · 2,594 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 27,642 → 27,642
0Faceit ELO · 2,594 → 2,594
+71Tracked matches · now 5,678
+24.0ppWin rate · 34.6% → 58.6%

Rating over time

Premier CS Rating: 27,642 +1,078 28 Aug – 23 Sept · 4 days played
26,56427,642peak 27,64228 Aug23 Sept
Faceit ELO: 2,594 +0 28 Aug – 23 Sept · 3 observations
2,5942,594peak 2,59428 Aug23 Sept
27,642Peak Premier in tracked matches
2,594Highest Faceit ELO seen on CSDB
33Days played since 2026-08-26

Faceit ELO

  • At peak — 2,594
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 406 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier CS Rating

  • At peak — 27,642
  • +1,078 over 30 days · improving
  • Next: Gold band at 30,000 — 2,358 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGhowl enjoyerFACEITLevel 10 · 2,594 ELOSTANDINGTop 12.4% of rankedPREMIER27,642 · Red band30 DAYS0 ELOPEAK ELO2,594csdb.gg/stats

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Performance scores

Aim89
Positioning53
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLLWWWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.06 avg rating · +0.3pp headshot accuracy · +19ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 498ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 482ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 472ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim8.9
Utility6.9
Positioning5.3
Opening Duels2.3
Clutch5.0

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.

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 85% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

Aim8.9
Positioning5.3
Utility6.9
Mechanics7.5
Opening Duels2.8
Win Impact7.9

Composite 7.3/10 (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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time482ms+24ms
first ⅓ avg 458ms → last ⅓ avg 482ms
Headshot accuracy18.5%+0.9%
first ⅓ avg 17.7% → last ⅓ avg 18.5%

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

0.37Best match rating · 4–0 · rush_001, 9 Oct →
50%Best headshot accuracy · 4–0 · rush_001, 9 Oct →
234msFastest reaction time · 9–13 · cache, 4 Sept →
13–0Biggest win · dust2, 19 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
7–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 83% over 6mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC198–1142%0.02
dust2B189–950%0.03
infernoC187–1139%0.03
nukeS128–467%0.01
mirageD72–529%0.03
anubisS75–271%0.06
ancientS65–183%0.04
rush_001—42–250%0.06
vertigo—41–325%0.00
train—31–233%0.04
office—22–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,928Matches
52%Win rate
1.21Avg K/D
82.5ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno11262%1.3618.1
Anubis10352%1.2215.9
Nuke10060%1.2916.1
Dust28853%1.1816.0
Ancient7651%1.2717.3
Overpass3754%1.2818.4
Mirage2846%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.

17.2%Headshot accuracy
38.9%Accuracy (enemy spotted)
40.4%Spray accuracy
83.7%Counter-strafing
8.0°Preaim
475msReaction time
35.7%T opening success
47.1%CT opening success
0.62Enemies flashed / flash
8.0%Flash assists
7.40HE damage / grenade
15.95Flashes / 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 35.703% — below the 40% mark we flag

Spend your practice time on Mirage

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 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0814%26 Oct →
mirage11–13-0.028%26 Oct →
dust213–70.0635%26 Oct →
cache13–40.0214%22 Oct →
cache13–110.0521%22 Oct →
dust23–130.0317%22 Oct →
inferno4–13-0.0412%22 Oct →
cache7–130.0236%22 Oct →
cache6–13-0.0213%21 Oct →
inferno13–80.0712%20 Oct →
dust213–80.0815%20 Oct →
dust213–70.0417%19 Oct →
nuke13–40.0931%19 Oct →
dust213–00.053%19 Oct →
mirage12–120.0621%19 Oct →
dust28–130.0326%19 Oct →
cache10–130.1215%19 Oct →
cache17–19-0.0316%16 Oct →
dust213–110.0311%16 Oct →
anubis13–20.2223%16 Oct →
dust211–13-0.038%14 Oct →
dust26–130.0516%10 Oct →
rush_0012–6-0.2012%10 Oct →
rush_0014–00.1533%10 Oct →
rush_0014–00.3750%9 Oct →
dust213–70.0118%9 Oct →
rush_0016–8-0.0715%8 Oct →
train9–13-0.0120%7 Oct →
train13–70.0816%7 Oct →
ancient13–90.1120%7 Oct →
anubis13–70.038%7 Oct →
nuke19–150.0319%7 Oct →
dust216–140.0216%5 Oct →
inferno13–20.0612%5 Oct →
nuke13–20.0512%5 Oct →
anubis13–70.0524%5 Oct →
inferno14–160.0311%5 Oct →
inferno7–9-0.0515%5 Oct →
inferno8–8-0.0618%5 Oct →
inferno9–00.2426%5 Oct →
inferno3–9-0.0640%5 Oct →
anubis11–130.0222%4 Oct →
nuke13–11-0.0314%4 Oct →
nuke13–70.0014%4 Oct →
inferno8–130.099%2 Oct →
dust216–120.0319%2 Oct →
inferno13–90.0122%2 Oct →
cache7–130.0314%2 Oct →
dust213–40.0338%1 Oct →
cache6–130.0116%30 Sept →
inferno26–280.0418%30 Sept →
nuke6–13-0.1216%28 Sept →
ancient13–70.1317%28 Sept →
cache8–10.0129%27 Sept →
train12–120.0421%27 Sept →
inferno3–13-0.0122%27 Sept →
anubis13–110.0414%26 Sept →
cache13–8-0.0213%26 Sept →
inferno13–90.0217%13 Sept →
dust29–130.0412%11 Sept →
vertigo6–130.0420%11 Sept →
nuke13–110.0819%11 Sept →
cache13–80.0735%11 Sept →
ancient13–80.0428%11 Sept →
inferno9–130.0415%11 Sept →
mirage10–13-0.0222%10 Sept →
anubis5–130.0316%10 Sept →
vertigo13–70.0117%10 Sept →
dust211–130.0125%10 Sept →
inferno14–160.0413%10 Sept →
dust213–160.0629%10 Sept →
inferno13–100.038%9 Sept →
vertigo0–9-0.0113%9 Sept →
dust24–13-0.0716%9 Sept →
mirage11–13-0.0220%7 Sept →
ancient12–120.0021%7 Sept →
vertigo8–13-0.0214%7 Sept →
inferno10–130.0024%5 Sept →
ancient13–10-0.017%4 Sept →
dust25–13-0.0020%4 Sept →
nuke8–130.0320%4 Sept →
cache12–120.0432%4 Sept →
cache9–13-0.200%4 Sept →
cache7–13-0.0019%4 Sept →
office13–30.0727%4 Sept →
mirage12–120.0715%3 Sept →
nuke13–100.0817%3 Sept →
cache12–120.0819%2 Sept →
office13–3-0.0116%2 Sept →
cache13–110.0515%1 Sept →
cache13–100.0319%31 Aug →
nuke11–130.0212%31 Aug →
anubis13–60.0416%31 Aug →
cache13–16-0.028%31 Aug →
ancient13–4-0.0117%30 Aug →
inferno13–70.0231%29 Aug →
cache13–70.0717%29 Aug →
mirage13–50.0216%29 Aug →
mirage13–80.0924%26 Aug →
nuke13–5-0.0118%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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