skunK🥹

skunK🥹 — CS2 Stats

SE76561198263463916[U:1:303198188]Steam profile ↗✓ No bans

715Tracked matches27%Win rate2021Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating20,804Top 50% of 208,191 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)
CSDB Leaderboard#71037 of 255818 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,804 -804 3 Feb – 28 Sept · 15 days played
20,80422,526peak 22,5263 Feb28 Sept
22,642Peak Premier in tracked matches
23Days played since 2026-02-01

Premier CS Rating

  • 1,722 below peak (22,526)
  • Next: Red band at 25,000 — 4,196 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGskunK🥹PREMIER20,804 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

COLD36–63–1Last 10036%Win rateLLLLWLLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +4.9pp headshot accuracy · +11ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 540ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 557ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 552ms

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).

Aim8.1
Utility4.9
Positioning3.9
Opening Duels0.0

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

b1t

Plays most like b1t 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1
Positioning3.9
Utility4.9
Mechanics7.4
Opening Duels1.1
Win Impact0.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time546ms−24ms
first ⅓ avg 569ms → last ⅓ avg 546ms
Headshot accuracy18.1%+1.5%
first ⅓ avg 16.6% → last ⅓ avg 18.1%

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

0.11Best match rating · 13–0 · mirage, 11 Sept →
75%Best headshot accuracy · 2–13 · mirage, 16 Sept →
359msFastest reaction time · 2–13 · inferno, 8 Sept →
13–0Biggest win · mirage, 11 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
8–1In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 46% over 13nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC3011–1937%-0.02
infernoC2610–1638%-0.01
cacheB136–746%-0.00
ancientC114–736%-0.02
nukeD92–722%-0.02
dust2—42–250%-0.03
anubis—31–233%-0.01
overpass—20–20%-0.10
train—10–10%-0.04
fachwerk—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.8%Spray accuracy
83.4%Counter-strafing
8.1°Preaim
550msReaction time
38.8%T opening success
28.6%CT opening success
0.54Enemies flashed / flash
6.3%Flash assists
9.31HE damage / grenade
5.71Flashes / 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 38.7931% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0815%28 Sept →
nuke5–13-0.0322%27 Sept →
cache3–13-0.0315%27 Sept →
cache3–13-0.1016%24 Sept →
mirage13–70.0125%24 Sept →
cache5–13-0.0312%24 Sept →
mirage2–13-0.0917%20 Sept →
mirage2–13-0.0421%20 Sept →
mirage4–13-0.0531%20 Sept →
ancient9–130.0113%19 Sept →
cache13–11-0.0322%19 Sept →
inferno10–13-0.0615%19 Sept →
mirage13–10-0.009%19 Sept →
inferno8–13-0.0428%19 Sept →
mirage10–13-0.0313%18 Sept →
anubis4–13-0.0210%18 Sept →
inferno13–10-0.0110%18 Sept →
dust213–50.026%18 Sept →
ancient6–13-0.027%18 Sept →
inferno16–140.0417%18 Sept →
nuke10–13-0.0222%16 Sept →
cache3–130.0719%16 Sept →
mirage3–13-0.0816%16 Sept →
ancient2–13-0.0219%16 Sept →
mirage2–13-0.1175%16 Sept →
inferno5–130.0125%15 Sept →
inferno10–130.038%15 Sept →
anubis13–50.0413%15 Sept →
cache8–13-0.0233%14 Sept →
mirage13–80.0110%13 Sept →
cache13–40.0513%13 Sept →
dust21–13-0.096%13 Sept →
train3–13-0.0417%13 Sept →
inferno6–13-0.0612%13 Sept →
mirage9–13-0.0417%13 Sept →
cache13–90.0014%13 Sept →
nuke10–130.0314%12 Sept →
mirage13–11-0.055%12 Sept →
inferno13–80.0122%12 Sept →
fachwerk10–13-0.0238%12 Sept →
mirage10–130.0123%12 Sept →
inferno9–13-0.0016%12 Sept →
mirage7–13-0.0611%12 Sept →
nuke1–13-0.0327%12 Sept →
ancient13–10-0.0715%12 Sept →
inferno13–7-0.0311%12 Sept →
inferno15–15-0.0214%11 Sept →
mirage5–0-0.040%11 Sept →
inferno10–130.0421%11 Sept →
inferno5–130.0036%11 Sept →
ancient10–13-0.0314%11 Sept →
inferno3–13-0.0628%11 Sept →
ancient13–60.0510%11 Sept →
mirage2–13-0.0714%11 Sept →
cache9–13-0.0312%11 Sept →
mirage5–13-0.0522%11 Sept →
mirage5–130.0635%11 Sept →
mirage2–13-0.0420%11 Sept →
nuke7–130.0138%11 Sept →
mirage13–00.1119%11 Sept →
cache13–100.0420%10 Sept →
mirage11–13-0.0415%10 Sept →
inferno1–13-0.139%10 Sept →
nuke13–3-0.0711%10 Sept →
ancient8–130.0515%10 Sept →
nuke3–13-0.084%10 Sept →
mirage13–160.0110%9 Sept →
inferno6–13-0.0119%9 Sept →
mirage16–140.0312%9 Sept →
cache4–130.0115%9 Sept →
inferno13–110.098%9 Sept →
mirage13–60.0116%9 Sept →
inferno13–110.0215%9 Sept →
dust29–130.0322%8 Sept →
inferno2–13-0.0316%8 Sept →
mirage3–13-0.0215%8 Sept →
nuke9–13-0.0710%8 Sept →
cache13–8-0.0120%8 Sept →
cache13–70.0419%8 Sept →
ancient10–130.029%7 Sept →
inferno13–11-0.0514%7 Sept →
inferno13–20.0820%7 Sept →
ancient13–8-0.0413%6 Sept →
mirage3–13-0.069%6 Sept →
nuke13–30.0718%6 Sept →
mirage13–50.0230%22 Feb →
inferno3–130.0537%16 Feb →
mirage5–13-0.0626%16 Feb →
mirage5–130.0014%16 Feb →
inferno6–13-0.0513%15 Feb →
mirage16–14-0.0324%15 Feb →
inferno13–60.0319%15 Feb →
overpass0–9-0.1613%15 Feb →
mirage13–3-0.016%8 Feb →
inferno4–13-0.0511%8 Feb →
dust213–4-0.0742%8 Feb →
overpass1–13-0.0420%8 Feb →
inferno13–80.077%3 Feb →
anubis9–13-0.045%1 Feb →
ancient13–2-0.0514%1 Feb →

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 →

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