Skankhunt42

Skankhunt42 — CS2 Stats

76561198036302799[U:1:76037071]Steam profile ↗✓ No bans

3,012Tracked matches55%Win rate2023Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating17,894Purple band · top ~16.9% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−1572Premier CS Rating · 19,466 → 17,894

Rating over time

Premier CS Rating: 17,894 -3,268 7 Sept – 13 Oct · 22 days played
17,14121,162peak 21,1627 Sept13 Oct
21,162Peak Premier in tracked matches
20Days played since 2026-09-07

Premier CS Rating

  • 3,268 below peak (21,162)
  • -895 over 30 days · declining
  • Next: Pink band at 20,000 — 2,106 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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

Share this profile

CSDB.GGSkankhunt42FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,894 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning64
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLLLLWWWWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · −52ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 595ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 508ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 534ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim6.7
Utility5.2
Positioning6.4
Opening Duels3.1
Clutch3.2

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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 563ms 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

Aim6.7
Positioning6.4
Utility5.2
Mechanics6.0
Opening Duels4.5
Win Impact6.7

Composite 6.1/10 (Solid), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time550ms−14ms
first ⅓ avg 564ms → last ⅓ avg 550ms
Headshot accuracy10.8%−1.5%
first ⅓ avg 12.3% → last ⅓ avg 10.8%

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

0.15Best match rating · 13–5 · train, 7 Oct →
26%Best headshot accuracy · 6–13 · dust2, 25 Sept →
391msFastest reaction time · 1–13 · inferno, 29 Sept →
13–2Biggest win · inferno, 4 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
9–14In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 69% over 16dust2Weakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
ancientA2011–955%-0.00
infernoB168–850%0.00
anubisS1611–569%0.01
mirageC146–843%-0.00
dust2D132–1115%-0.02
nukeB105–550%0.03
cacheS64–267%-0.03
train—31–233%0.07
vertigo—20–20%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

234Matches
53%Win rate
1.12Avg K/D
84.7ADR
32%Headshot %

Clutches & streaks

36%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5954%1.0817.0
Anubis4858%1.2717.4
Inferno4055%1.2016.9
Dust23142%0.9214.8
Nuke2658%1.1116.6
Mirage2548%1.0817.0
Cache425%1.0215.5
Overpass10%1.3527.0

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.

11.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.7%Spray accuracy
76.9%Counter-strafing
9.8°Preaim
563msReaction time
46.9%T opening success
49.2%CT opening success
0.58Enemies flashed / flash
10.5%Flash assists
10.05HE damage / grenade
7.14Flashes / 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 11.061% — below the 15% mark we flag

    Aim Training →
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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.057%13 Oct →
inferno5–13-0.0210%13 Oct →
cache8–13-0.0812%13 Oct →
dust24–13-0.0715%13 Oct →
dust214–160.0613%12 Oct →
cache13–50.028%12 Oct →
ancient1–00.000%12 Oct →
cache13–11-0.015%11 Oct →
ancient13–80.0513%11 Oct →
dust213–100.029%11 Oct →
anubis13–70.0813%11 Oct →
anubis13–50.0014%11 Oct →
inferno14–16-0.0613%11 Oct →
inferno13–50.007%11 Oct →
nuke13–70.058%11 Oct →
mirage13–10-0.028%11 Oct →
nuke13–70.0517%10 Oct →
mirage13–30.1215%10 Oct →
ancient8–13-0.036%10 Oct →
anubis13–110.016%10 Oct →
train12–120.0618%10 Oct →
dust211–13-0.0216%8 Oct →
anubis13–100.0117%8 Oct →
train2–130.0113%8 Oct →
dust23–130.0714%7 Oct →
nuke10–130.0010%7 Oct →
train13–50.159%7 Oct →
inferno4–13-0.057%7 Oct →
mirage13–6-0.006%7 Oct →
mirage10–130.0313%6 Oct →
inferno13–70.0517%6 Oct →
inferno13–80.006%6 Oct →
ancient13–70.1013%6 Oct →
dust26–13-0.0810%5 Oct →
mirage11–13-0.0412%5 Oct →
ancient13–9-0.0412%4 Oct →
anubis16–130.064%4 Oct →
inferno13–20.1018%4 Oct →
mirage5–130.0310%4 Oct →
inferno9–130.0313%4 Oct →
ancient16–14-0.025%4 Oct →
anubis13–110.0412%4 Oct →
anubis13–40.037%3 Oct →
ancient4–13-0.0614%3 Oct →
inferno7–13-0.0016%3 Oct →
nuke8–130.0621%3 Oct →
cache6–13-0.0213%3 Oct →
ancient10–13-0.036%3 Oct →
mirage13–80.1310%2 Oct →
inferno13–30.0812%1 Oct →
nuke13–10-0.0121%1 Oct →
ancient13–60.043%1 Oct →
anubis13–10-0.0117%1 Oct →
anubis16–140.0415%1 Oct →
nuke17–190.1013%1 Oct →
anubis13–110.0311%1 Oct →
nuke13–7-0.0316%1 Oct →
mirage11–13-0.0710%1 Oct →
dust24–13-0.0922%1 Oct →
ancient3–13-0.080%30 Sept →
ancient13–110.0111%30 Sept →
anubis11–13-0.0212%30 Sept →
dust23–13-0.0811%29 Sept →
nuke7–13-0.0211%29 Sept →
mirage9–13-0.1013%29 Sept →
ancient5–13-0.0512%29 Sept →
inferno1–13-0.128%29 Sept →
ancient15–15-0.0313%29 Sept →
anubis11–13-0.0513%29 Sept →
nuke13–60.1215%28 Sept →
ancient13–110.035%28 Sept →
anubis6–130.0020%28 Sept →
dust214–16-0.0421%28 Sept →
dust25–13-0.0510%28 Sept →
ancient16–130.0213%28 Sept →
inferno11–13-0.009%28 Sept →
cache3–0-0.040%28 Sept →
cache13–6-0.0310%27 Sept →
dust28–13-0.0014%27 Sept →
ancient13–80.0712%27 Sept →
ancient11–130.018%27 Sept →
inferno13–20.016%27 Sept →
nuke14–16-0.046%27 Sept →
inferno9–130.0717%26 Sept →
ancient10–13-0.0111%26 Sept →
anubis13–7-0.0013%26 Sept →
mirage13–6-0.047%26 Sept →
mirage3–13-0.0414%26 Sept →
anubis5–130.0211%26 Sept →
dust26–13-0.0726%25 Sept →
anubis6–13-0.057%24 Sept →
ancient13–6-0.0218%24 Sept →
mirage16–130.0215%24 Sept →
inferno13–4-0.0611%24 Sept →
ancient5–130.0414%23 Sept →
dust213–80.0324%23 Sept →
mirage11–13-0.024%23 Sept →
vertigo8–13-0.0119%23 Sept →
vertigo11–130.0812%23 Sept →
inferno13–7-0.0310%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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