Godissvampen

Godissvampen — CS2 Stats

SE76561197996350723[U:1:36084995]Steam profile ↗✓ No bans

976Tracked matches43%Win rate2023Tracked since
2,682Hours in CS19Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Premier CS Rating14,165Blue band · top ~32.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 14,165 -983 22 Aug – 1 Nov · 18 days played
14,05915,304peak 15,30422 Aug1 Nov
15,304Peak Premier in tracked matches
29Days played since 2026-08-21

Premier CS Rating

  • 1,139 below peak (15,304)
  • -719 over 30 days · declining
  • Next: Purple band at 15,000 — 835 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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 Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate47.5%43.8%44.8%above
Shot accuracy10.6%12.0%12.4%1.8% short
Kill/death ratio1.181.021.03above
Match win rate44.2%44.7%45.2%1.0% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGodissvampenFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,165 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim42
Positioning53
Utility68

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateWLLLLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.3pp headshot accuracy · +140ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 628ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 638ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 568ms

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 (+2.5 against its own average).

Aim4.2
Utility6.8
Positioning5.3
Opening Duels2.3
Clutch3.0

Strong CT-side openerEffective flashes

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

ZywOo

Plays most like ZywOo 63% 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. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.2
Positioning5.3
Utility6.8
Mechanics4.3
Opening Duels3.1
Win Impact2.8

Composite 4.3/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time570ms+38ms
first ⅓ avg 532ms → last ⅓ avg 570ms
Headshot accuracy15.2%+1.6%
first ⅓ avg 13.6% → last ⅓ avg 15.2%

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 · 13–4 · dust2, 26 Aug →
33%Best headshot accuracy · 3–13 · dust2, 22 Oct →
391msFastest reaction time · 13–6 · nuke, 26 Sept →
13–1Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 50% over 16cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.03
nukeB2110–1148%-0.02
anubisB168–850%-0.03
mirageB126–650%0.00
cacheD82–625%-0.02
dust2C83–538%-0.02
ancientD72–529%-0.01
vertigo—21–150%0.04
overpass—10–10%-0.00
debris—10–10%-0.01
rush_001—10–10%-0.09

Across the last 100 tracked matches.

Lifetime stats

84,938Lifetime kills
1.18K/D · Top 25% of Level 5 players
3,825Matches
44.2%Match win rate
47.5%Headshot % · Top 50% of Level 5 players
10.6%Shot accuracy
8,327MVPs
1,650Hours (in match)
3,617Bombs planted
883Bombs defused

Most-used weapons

AK-4733,771
AWP6,464
UMP-452,438
MAC-102,259
P2501,762
FAMAS1,732

Lifetime map wins

6,700dust2
6,411inferno
3,963nuke
1,557train
1,136cbble
467vertigo
127office
88aztec

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

Faceit stats

Combat

73Matches
52%Win rate
1.04Avg K/D
73.4ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1856%1.2213.7
Nuke1450%1.1013.1
Anubis1362%0.8113.2
Ancient633%0.8314.5
Dust2650%0.9411.5
Mirage2100%1.1620.5
Vertigo10%0.7613.0

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.

15.0%Headshot accuracy
28.0%Accuracy (enemy spotted)
33.9%Spray accuracy
69.6%Counter-strafing
11.4°Preaim
567msReaction time
36.8%T opening success
47.9%CT opening success
0.73Enemies flashed / flash
12.2%Flash assists
10.70HE damage / grenade
6.82Flashes / 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 36.8255% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–1-0.0111%1 Nov →
overpass9–13-0.0012%1 Nov →
inferno9–13-0.056%1 Nov →
nuke9–13-0.0827%1 Nov →
inferno3–13-0.089%31 Oct →
inferno13–4-0.0116%31 Oct →
mirage13–80.0314%31 Oct →
cache4–13-0.029%24 Oct →
cache6–13-0.095%23 Oct →
cache10–130.028%23 Oct →
nuke3–13-0.0011%23 Oct →
nuke4–13-0.0316%22 Oct →
inferno13–9-0.0212%22 Oct →
mirage7–130.0215%22 Oct →
dust23–13-0.0733%22 Oct →
debris8–8-0.0114%22 Oct →
inferno13–80.0113%20 Oct →
dust213–10-0.0019%20 Oct →
inferno5–13-0.0412%20 Oct →
ancient13–40.0323%20 Oct →
inferno7–13-0.0312%20 Oct →
nuke13–40.0317%20 Oct →
mirage13–70.0626%20 Oct →
dust211–13-0.0712%17 Oct →
mirage1–13-0.1210%17 Oct →
nuke16–14-0.0321%17 Oct →
cache13–9-0.0015%17 Oct →
ancient8–13-0.038%17 Oct →
dust213–70.0326%17 Oct →
anubis13–20.0122%17 Oct →
anubis8–13-0.1113%15 Oct →
mirage10–130.0224%12 Oct →
mirage13–50.0612%12 Oct →
mirage12–16-0.0716%11 Oct →
anubis2–13-0.0833%11 Oct →
ancient8–13-0.073%11 Oct →
inferno15–15-0.0522%10 Oct →
nuke6–13-0.0620%10 Oct →
ancient7–13-0.0618%9 Oct →
inferno4–13-0.0717%9 Oct →
mirage6–13-0.0018%8 Oct →
inferno13–100.048%8 Oct →
mirage13–70.0418%8 Oct →
inferno10–13-0.069%8 Oct →
nuke13–7-0.038%8 Oct →
rush_0015–8-0.095%7 Oct →
vertigo13–50.0713%7 Oct →
cache11–13-0.044%26 Sept →
inferno13–11-0.0721%26 Sept →
nuke13–60.0221%26 Sept →
cache12–160.0121%26 Sept →
nuke13–8-0.0713%26 Sept →
inferno5–13-0.1221%25 Sept →
anubis11–13-0.0218%25 Sept →
nuke5–13-0.0321%25 Sept →
anubis14–16-0.0317%25 Sept →
inferno13–70.0111%18 Sept →
cache13–110.0427%18 Sept →
inferno13–60.0415%17 Sept →
inferno13–4-0.0131%17 Sept →
mirage8–13-0.0211%11 Sept →
dust24–13-0.0222%11 Sept →
cache3–13-0.079%11 Sept →
nuke5–13-0.0617%10 Sept →
nuke8–13-0.0522%10 Sept →
anubis13–11-0.019%10 Sept →
anubis14–16-0.0320%5 Sept →
inferno13–6-0.048%5 Sept →
anubis13–5-0.0219%4 Sept →
dust24–13-0.0817%4 Sept →
ancient11–13-0.029%4 Sept →
anubis13–11-0.0318%4 Sept →
nuke13–10.0218%4 Sept →
nuke1–13-0.1020%29 Aug →
inferno13–9-0.0417%28 Aug →
anubis13–90.0210%26 Aug →
nuke10–130.034%26 Aug →
anubis13–60.0713%26 Aug →
mirage13–110.0315%26 Aug →
inferno6–13-0.0517%26 Aug →
dust213–40.1116%26 Aug →
anubis13–6-0.043%25 Aug →
mirage19–15-0.0013%25 Aug →
nuke13–30.0715%25 Aug →
nuke10–130.0412%25 Aug →
inferno11–130.0216%25 Aug →
ancient15–190.0515%24 Aug →
vertigo9–13-0.0017%24 Aug →
anubis13–16-0.047%24 Aug →
nuke13–6-0.0110%24 Aug →
anubis13–11-0.0316%24 Aug →
nuke8–13-0.099%24 Aug →
inferno10–13-0.0112%24 Aug →
ancient13–60.0112%22 Aug →
anubis10–13-0.0218%22 Aug →
inferno5–13-0.063%22 Aug →
dust27–13-0.0431%21 Aug →
anubis0–13-0.069%21 Aug →
inferno13–2-0.0110%21 Aug →
nuke13–5-0.0119%21 Aug →

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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