SpongeBob SchwammKopf

SpongeBob SchwammKopf — CS2 Stats

DE76561199009523788[U:1:1049258060]Steam profile ↗✓ No bans

1,048Tracked matches64%Win rate2020Tracked since
840Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating13,160Blue band · top ~38.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 13,160 -3,913 23 Sept – 31 Oct · 19 days played
10,29617,073peak 17,07323 Sept31 Oct
17,073Peak Premier in tracked matches
18Days played since 2026-09-23

Premier CS Rating

  • 3,913 below peak (17,073)
  • Next: Purple band at 15,000 — 1,840 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.6%42.0%44.4%6.7% short
Shot accuracy7.6%9.6%11.9%4.2% short
Kill/death ratio0.850.981.030.18 short
Match win rate45.0%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

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CSDB.GGSpongeBob SchwammKopfPREMIER13,160 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning64
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWLWLWLWWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.5pp headshot accuracy · +30ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 619ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 592ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

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 (+1.8 against its own average).

Aim7.2
Utility4.0
Positioning6.4
Opening Duels2.2
Clutch6.0

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

iM

Plays most like iM 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 571ms 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

Aim7.2
Positioning6.4
Utility4.0
Mechanics5.7
Opening Duels3.5
Win Impact9.8

Composite 5.9/10 (Solid), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time586ms+17ms
first ⅓ avg 569ms → last ⅓ avg 586ms
Headshot accuracy16.8%+4.8%
first ⅓ avg 12.0% → last ⅓ avg 16.8%

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 · 9–0 · inferno, 22 Oct →
37%Best headshot accuracy · 13–6 · dust2, 26 Oct →
406msFastest reaction time · 13–11 · ancient, 27 Oct →
13–1Biggest win · dust2, 21 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 16cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%-0.02
mirageC197–1237%-0.02
infernoA1610–663%0.00
nukeC146–843%-0.02
anubisB137–654%-0.02
cacheD113–827%-0.01
ancientC83–538%0.00

Across the last 100 tracked matches.

Lifetime stats

34,028Lifetime kills
0.85K/D
2,109Matches
45.0%Match win rate · Top 50% of Blue band
37.6%Headshot %
7.6%Shot accuracy
4,485MVPs
840Hours (in match)
1,545Bombs planted
442Bombs defused

Most-used weapons

Lifetime map wins

3,644dust2
2,483nuke
2,461inferno
557train
454vertigo
142cbble
43lake
42office

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

Faceit stats

Combat

13Matches
54%Win rate
0.58Avg K/D
74.7ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%1.0715.0
Nuke1100%0.9416.0

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.

17.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
41.3%Spray accuracy
75.6%Counter-strafing
9.3°Preaim
571msReaction time
49.0%T opening success
39.3%CT opening success
0.44Enemies flashed / flash
2.2%Flash assists
8.17HE damage / grenade
5.56Flashes / 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. 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 0.442 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.2728% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.057%31 Oct →
dust213–8-0.0331%31 Oct →
nuke8–130.0126%31 Oct →
anubis13–80.0227%30 Oct →
dust29–13-0.0019%30 Oct →
inferno13–100.0316%29 Oct →
ancient9–13-0.0514%28 Oct →
cache13–70.039%28 Oct →
nuke16–14-0.0413%28 Oct →
mirage13–50.0421%28 Oct →
nuke13–110.0113%28 Oct →
ancient13–50.0424%28 Oct →
dust213–90.0419%28 Oct →
inferno3–13-0.0211%27 Oct →
nuke3–13-0.078%27 Oct →
dust213–110.0314%27 Oct →
mirage15–150.0017%27 Oct →
anubis13–60.0527%27 Oct →
dust29–13-0.0118%27 Oct →
inferno13–90.0115%27 Oct →
ancient13–110.0118%27 Oct →
inferno5–13-0.059%27 Oct →
nuke13–8-0.0519%26 Oct →
inferno13–20.019%26 Oct →
dust213–60.0437%26 Oct →
ancient11–130.0312%26 Oct →
anubis13–100.0013%26 Oct →
inferno13–11-0.0410%26 Oct →
nuke9–13-0.099%26 Oct →
inferno15–15-0.0325%26 Oct →
cache12–16-0.0515%26 Oct →
mirage16–130.0213%26 Oct →
anubis4–13-0.0917%25 Oct →
mirage12–160.0422%25 Oct →
cache13–90.0114%25 Oct →
mirage10–13-0.0211%25 Oct →
anubis13–60.0224%25 Oct →
anubis13–60.0111%25 Oct →
dust27–13-0.029%25 Oct →
cache11–130.0110%25 Oct →
anubis6–13-0.0513%25 Oct →
anubis3–13-0.0610%25 Oct →
inferno13–110.0010%25 Oct →
cache14–16-0.0114%25 Oct →
cache10–13-0.057%24 Oct →
nuke8–13-0.0113%24 Oct →
mirage5–13-0.0215%24 Oct →
dust29–13-0.0923%24 Oct →
mirage9–13-0.0615%24 Oct →
dust25–13-0.0135%24 Oct →
cache13–7-0.0025%23 Oct →
inferno13–100.0333%23 Oct →
nuke10–130.0119%23 Oct →
inferno13–80.018%23 Oct →
cache6–13-0.0010%22 Oct →
nuke3–13-0.0313%22 Oct →
anubis13–90.0113%22 Oct →
mirage7–13-0.049%22 Oct →
dust29–13-0.0322%22 Oct →
inferno9–00.1523%22 Oct →
ancient15–150.0012%22 Oct →
mirage16–13-0.017%22 Oct →
dust213–60.0413%22 Oct →
dust213–9-0.1016%21 Oct →
dust213–6-0.0511%21 Oct →
inferno11–130.0119%21 Oct →
dust213–11-0.0016%21 Oct →
dust213–1-0.0315%21 Oct →
mirage10–13-0.0417%21 Oct →
cache9–130.049%21 Oct →
ancient7–130.044%21 Oct →
ancient16–14-0.056%21 Oct →
dust25–13-0.0315%20 Oct →
inferno13–7-0.0610%20 Oct →
dust213–40.0117%20 Oct →
anubis11–13-0.029%20 Oct →
nuke13–7-0.0016%20 Oct →
inferno13–100.0412%20 Oct →
mirage6–130.0120%20 Oct →
inferno10–13-0.0316%20 Oct →
cache11–13-0.0321%19 Oct →
ancient9–13-0.036%19 Oct →
mirage13–8-0.0118%19 Oct →
mirage10–13-0.095%19 Oct →
mirage4–13-0.0323%19 Oct →
mirage13–9-0.059%18 Oct →
nuke10–13-0.056%18 Oct →
anubis3–13-0.009%18 Oct →
nuke16–130.0410%18 Oct →
mirage13–50.0115%18 Oct →
anubis9–4-0.0613%18 Oct →
cache4–13-0.068%17 Oct →
mirage16–130.0810%17 Oct →
dust27–13-0.0113%16 Oct →
anubis6–13-0.0511%15 Oct →
nuke15–15-0.0113%14 Oct →
dust28–13-0.057%14 Oct →
mirage5–13-0.0619%14 Oct →
mirage11–13-0.058%14 Oct →
nuke13–11-0.0710%14 Oct →

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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