Spuge

Spuge — CS2 Stats

FI76561197999686236[U:1:39420508]Steam profile ↗✓ No bans

407Tracked matches43%Win rate2022Tracked since
284Hours in CS
CSDB Rating3.8 LearningPositional Player
Premier CS Rating4,954Grey band · top ~79% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (34 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: 4,954 +2,412 9 Aug – 2 Oct · 13 days played
2,4415,531peak 5,5319 Aug2 Oct
5,814Peak Premier in tracked matches
32Days played since 2026-07-18

Premier CS Rating

  • 577 below peak (5,531)
  • +63 over 30 days · steady
  • Next: Light Blue band at 5,000 — 46 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-20

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate42.6%38.2%39.9%above
Shot accuracy6.5%3.6%7.0%0.5% short
Kill/death ratio1.080.830.92above
Match win rate41.9%40.2%42.3%meets

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpugePREMIER4,954 · Grey bandcsdb.gg/stats

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Performance scores

Aim59
Positioning38
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLWLLLTLWWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · +34ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 652ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 613ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 596ms

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 (+1.6 against its own average).

Aim5.9
Utility2.7
Positioning3.8
Opening Duels0.0

Limited utility dependence

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 96% playstyle similarity

Most alike: aim profile, utility contribution.

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

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

Reaction time. 586ms 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

Aim5.9
Positioning3.8
Utility2.7
Mechanics6.4
Opening Duels0.2
Win Impact2.6

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time591ms−92ms
first ⅓ avg 683ms → last ⅓ avg 591ms
Headshot accuracy9.9%−1.9%
first ⅓ avg 11.8% → last ⅓ avg 9.9%

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.

Personal bests

0.17Best match rating · 13–4 · dust2, 27 Jul →
30%Best headshot accuracy · 9–0 · anubis, 17 Sept →
422msFastest reaction time · 6–1 · dust2, 21 Aug →
13–0Biggest win · cache, 17 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 65% over 20ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
cacheS2013–765%0.03
mirageB178–947%-0.01
dust2B178–947%0.01
ancientC156–940%0.00
nukeA116–555%0.03
infernoC94–544%-0.01
anubisA74–357%-0.01
vertigo—31–233%0.01
poseidon—10–10%-0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,526Lifetime kills
1.08K/D · Top 10% of Grey band
867Matches
41.9%Match win rate · Top 50% of Grey band
42.6%Headshot % · Top 50% of Grey band
6.5%Shot accuracy · Top 50% of Grey band
1,720MVPs
284Hours (in match)
1,081Bombs planted
203Bombs defused

Most-used weapons

Lifetime map wins

1,067dust2
828nuke
687inferno
201vertigo
60cbble
33train
20office
3safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

10.0%Headshot accuracy
35.7%Accuracy (enemy spotted)
35.7%Spray accuracy
78.9%Counter-strafing
9.8°Preaim
586msReaction time
26.7%T opening success
31.2%CT opening success
0.35Enemies flashed / flash
4.2%Flash assists
4.86HE damage / grenade
2.21Flashes / 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 10.021% — 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 0.354 — 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 26.7007% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0115%21 Oct →
cache13–110.0821%2 Oct →
mirage4–13-0.090%2 Oct →
ancient10–13-0.036%2 Oct →
cache5–130.0013%2 Oct →
inferno15–15-0.0112%17 Sept →
ancient9–13-0.0110%17 Sept →
inferno13–5-0.062%17 Sept →
nuke16–140.048%17 Sept →
ancient13–11-0.0613%17 Sept →
inferno13–60.020%17 Sept →
cache13–00.0813%17 Sept →
anubis9–00.0230%17 Sept →
ancient7–130.0420%9 Sept →
dust210–13-0.0410%9 Sept →
cache1–13-0.0310%9 Sept →
cache12–12-0.0311%8 Sept →
nuke8–130.0115%7 Sept →
mirage13–50.049%4 Sept →
nuke6–130.047%3 Sept →
ancient7–130.0212%3 Sept →
dust25–130.008%3 Sept →
poseidon6–9-0.1713%3 Sept →
nuke6–9-0.0411%3 Sept →
dust211–13-0.0510%1 Sept →
nuke13–60.165%1 Sept →
inferno3–13-0.028%1 Sept →
ancient3–11-0.018%31 Aug →
inferno6–13-0.055%28 Aug →
nuke9–30.076%28 Aug →
cache13–11-0.018%28 Aug →
mirage13–6-0.085%28 Aug →
cache13–110.043%28 Aug →
mirage13–20.0415%27 Aug →
ancient13–9-0.0417%26 Aug →
dust22–13-0.083%26 Aug →
mirage0–13-0.1011%26 Aug →
cache13–10.1212%26 Aug →
cache13–40.075%26 Aug →
dust213–4-0.0317%26 Aug →
anubis13–80.0719%26 Aug →
vertigo2–13-0.036%21 Aug →
dust26–10.040%21 Aug →
inferno13–60.0015%21 Aug →
nuke13–10.1011%21 Aug →
ancient13–50.0418%21 Aug →
dust213–70.0516%21 Aug →
nuke14–16-0.0222%20 Aug →
ancient13–110.0713%19 Aug →
dust213–5-0.0418%19 Aug →
ancient13–7-0.0015%18 Aug →
dust27–130.025%10 Aug →
cache10–130.039%9 Aug →
ancient13–100.0311%9 Aug →
nuke13–6-0.0113%9 Aug →
cache13–100.0713%9 Aug →
nuke13–100.0613%9 Aug →
dust24–130.0613%9 Aug →
ancient6–130.0719%8 Aug →
mirage13–100.018%6 Aug →
ancient10–13-0.0114%5 Aug →
mirage7–1-0.0722%5 Aug →
cache6–13-0.047%5 Aug →
cache13–90.1210%5 Aug →
cache4–130.017%4 Aug →
ancient15–15-0.0410%29 Jul →
nuke15–15-0.0511%29 Jul →
mirage12–120.037%28 Jul →
dust213–2-0.0313%28 Jul →
dust213–40.1713%27 Jul →
mirage13–90.089%27 Jul →
dust26–13-0.008%27 Jul →
mirage8–13-0.0013%27 Jul →
anubis13–10.1015%27 Jul →
mirage5–13-0.024%26 Jul →
anubis11–13-0.036%25 Jul →
mirage5–13-0.0124%25 Jul →
ancient4–13-0.049%23 Jul →
dust211–130.069%23 Jul →
cache13–110.0612%23 Jul →
cache13–110.032%23 Jul →
mirage6–120.0812%23 Jul →
mirage9–13-0.028%22 Jul →
inferno10–130.005%22 Jul →
cache13–100.0715%22 Jul →
anubis8–13-0.064%22 Jul →
dust213–80.0512%22 Jul →
cache13–20.0711%22 Jul →
inferno13–11-0.0118%22 Jul →
anubis6–13-0.089%22 Jul →
dust24–130.0217%22 Jul →
mirage13–11-0.0014%22 Jul →
cache13–10-0.0414%20 Jul →
vertigo9–00.0720%20 Jul →
inferno12–120.0616%20 Jul →
mirage13–7-0.059%20 Jul →
anubis13–5-0.0714%20 Jul →
mirage6–130.0218%20 Jul →
dust213–10.0216%20 Jul →
vertigo12–12-0.0218%18 Jul →

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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