Spuck Druff

Spuck Druff — CS2 Stats

76561198278873575[U:1:318607847]Steam profile ↗✓ No bans

371Tracked matches50%Win rate2024Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating12,027Blue band · top ~44.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 12,027 +389 12 May – 11 Oct · 21 days played
9,07412,467peak 12,46712 May11 Oct
13,024Peak Premier in tracked matches
34Days played since 2026-05-12

Premier CS Rating

  • 440 below peak (12,467)
  • +1,697 over 90 days
  • Next: Purple band at 15,000 — 2,973 to go
  • Reached: 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.GGSpuck DruffFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,027 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning36
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLWLLLLWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.3pp headshot accuracy · −70ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 545ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 571ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

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 (+1.5 against its own average).

Aim4.1
Utility2.8
Positioning3.6
Opening Duels1.9
Clutch0.0

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

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, 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. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning3.6
Utility2.8
Mechanics3.6
Opening Duels1.3
Win Impact5.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time607ms−74ms
first ⅓ avg 682ms → last ⅓ avg 607ms
Headshot accuracy13.8%+0.8%
first ⅓ avg 13.0% → last ⅓ avg 13.8%

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

0.16Best match rating · 6–13 · ancient, 4 Jul →
34%Best headshot accuracy · 13–7 · cache, 19 Aug →
406msFastest reaction time · 9–5 · inferno, 8 Jul →
13–2Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 60% over 15cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3014–1647%-0.03
nukeB179–853%-0.02
mirageA159–660%-0.02
ancientB136–746%0.00
infernoB115–645%-0.01
cacheD62–433%-0.03
overpass—41–325%-0.03
anubis—31–233%-0.00
train—10–10%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

30Matches
47%Win rate
0.92Avg K/D
79.1ADR
38%Headshot %

Clutches & streaks

10%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21560%0.9315.9
Inferno450%0.9815.8
Mirage425%1.0614.0
Nuke30%0.6911.3
Anubis250%0.6211.0
Cache250%1.0014.5

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.

13.1%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.5%Spray accuracy
66.3%Counter-strafing
10.5°Preaim
605msReaction time
31.2%T opening success
39.1%CT opening success
0.23Enemies flashed / flash
2.4%Flash assists
4.66HE damage / grenade
5.16Flashes / 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 13.0951% — 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 0.2273 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.1994% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–20.038%11 Oct →
dust210–13-0.0412%11 Oct →
mirage13–60.016%11 Oct →
dust213–16-0.089%9 Sept →
dust21–13-0.129%23 Aug →
nuke1–12-0.0810%19 Aug →
dust29–13-0.068%19 Aug →
dust213–11-0.0313%19 Aug →
cache13–7-0.0334%19 Aug →
cache13–9-0.0114%18 Aug →
train10–13-0.0712%11 Aug →
mirage6–13-0.0514%5 Aug →
dust21–13-0.0720%16 Jul →
nuke13–110.048%16 Jul →
nuke13–3-0.0211%15 Jul →
ancient8–13-0.0110%15 Jul →
cache9–13-0.0126%15 Jul →
cache10–13-0.0519%14 Jul →
dust213–10-0.059%12 Jul →
inferno11–2-0.0527%12 Jul →
cache13–16-0.0711%12 Jul →
nuke13–11-0.059%11 Jul →
dust213–9-0.039%11 Jul →
overpass6–90.0215%8 Jul →
overpass9–6-0.0610%8 Jul →
inferno9–50.0330%8 Jul →
cache7–13-0.0225%6 Jul →
mirage13–7-0.0110%6 Jul →
nuke3–130.0012%5 Jul →
dust213–60.0119%5 Jul →
dust216–130.0512%5 Jul →
ancient8–13-0.067%5 Jul →
mirage13–6-0.017%5 Jul →
dust29–13-0.0117%5 Jul →
mirage16–120.0314%5 Jul →
mirage4–13-0.0419%4 Jul →
ancient6–130.1613%4 Jul →
ancient13–9-0.0228%3 Jul →
inferno14–160.0013%3 Jul →
mirage13–6-0.055%3 Jul →
ancient13–11-0.0118%3 Jul →
anubis15–15-0.0420%2 Jul →
ancient13–30.0113%2 Jul →
inferno13–10-0.0219%2 Jul →
dust211–13-0.049%2 Jul →
mirage13–30.0114%2 Jul →
dust23–13-0.078%1 Jul →
mirage13–7-0.028%1 Jul →
dust28–13-0.0017%1 Jul →
ancient10–13-0.0114%30 Jun →
nuke7–130.0113%30 Jun →
dust26–13-0.0213%28 Jun →
dust213–10-0.0216%28 Jun →
ancient11–130.0012%24 Jun →
dust216–14-0.0520%24 Jun →
overpass7–13-0.054%24 Jun →
ancient12–160.059%24 Jun →
ancient13–100.0313%22 Jun →
inferno9–13-0.009%22 Jun →
nuke13–7-0.0417%22 Jun →
inferno7–13-0.0211%22 Jun →
nuke13–80.0313%22 Jun →
overpass15–15-0.0211%21 Jun →
ancient2–13-0.0615%21 Jun →
nuke5–13-0.0716%21 Jun →
anubis10–13-0.035%21 Jun →
nuke13–11-0.064%18 Jun →
mirage9–13-0.0410%18 Jun →
ancient13–7-0.0512%18 Jun →
inferno4–13-0.0311%17 Jun →
dust216–14-0.0514%17 Jun →
dust213–20.0829%17 Jun →
nuke9–130.0313%16 Jun →
inferno13–9-0.077%16 Jun →
dust213–10-0.0214%16 Jun →
nuke4–13-0.0414%16 Jun →
dust213–50.015%16 Jun →
inferno9–130.0215%27 May →
dust27–13-0.0013%27 May →
ancient16–14-0.0112%27 May →
mirage8–13-0.0310%27 May →
mirage10–13-0.0512%26 May →
dust24–13-0.118%26 May →
mirage13–10-0.127%26 May →
nuke13–10-0.0413%26 May →
dust211–130.0014%26 May →
dust213–11-0.0218%26 May →
anubis13–40.0717%26 May →
nuke13–7-0.0715%26 May →
inferno13–20.024%25 May →
inferno15–15-0.0416%25 May →
dust213–9-0.0616%25 May →
dust213–110.0118%20 May →
dust215–15-0.0116%17 May →
mirage7–13-0.0417%17 May →
nuke9–13-0.0113%17 May →
dust212–160.0117%13 May →
dust215–15-0.0911%13 May →
nuke13–110.018%12 May →
nuke6–13-0.0710%12 May →

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 →

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