GänseHoden

GänseHoden — CS2 Stats

DE76561198356131296[U:1:395865568]Steam profile ↗✓ No bans

1,063Tracked matches48%Win rate2024Tracked since
2,529Hours in CS44Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating16,744Purple band · top ~21.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+20Premier CS Rating · 16,724 → 16,744

Rating over time

Premier CS Rating: 16,744 +1,253 31 Aug – 1 Nov · 24 days played
13,07917,453peak 17,45331 Aug1 Nov
17,807Peak Premier in tracked matches
22Days played since 2026-08-31

Premier CS Rating

  • 709 below peak (17,453)
  • +3,665 over 30 days · improving
  • Next: Pink band at 20,000 — 3,256 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate37.9%41.3%41.8%3.9% short
Shot accuracy4.9%12.7%12.2%7.3% short
Kill/death ratio1.000.950.98above
Match win rate38.8%42.6%43.3%4.5% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGänseHodenFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER16,744 · Purple 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

Aim65
Positioning61
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWWLLWTLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.4pp headshot accuracy · +9ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

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).

Aim6.5
Utility4.6
Positioning6.1
Opening Duels3.5
Clutch3.0

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 573ms 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

Aim6.5
Positioning6.1
Utility4.6
Mechanics6.4
Opening Duels6.6
Win Impact4.4

Composite 5.9/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time573ms−28ms
first ⅓ avg 601ms → last ⅓ avg 573ms
Headshot accuracy18.8%+2.6%
first ⅓ avg 16.2% → last ⅓ avg 18.8%

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

0.18Best match rating · 13–7 · nuke, 21 Oct →
37%Best headshot accuracy · 13–7 · inferno, 25 Oct →
422msFastest reaction time · 13–3 · ancient, 9 Oct →
13–0Biggest win · mirage, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB1910–953%0.03
dust2C176–1135%0.01
mirageB168–850%0.01
infernoD164–1225%-0.00
ancientA117–464%0.01
anubisA117–464%0.03
cacheB105–550%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,058Lifetime kills
1.00K/D · Top 50% of Level 2 players
3,961Matches
38.8%Match win rate
37.9%Headshot %
4.9%Shot accuracy
9,182MVPs
1,248Hours (in match)
5,057Bombs planted
923Bombs defused

Most-used weapons

AK-4719,080
AWP4,003
P902,286
Molotov2,041
MP91,850
MAC-101,594

Lifetime map wins

9,329dust2
4,513nuke
4,213inferno
585train
572lake
553vertigo
498cbble
45office

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

Faceit stats

Combat

21Matches
43%Win rate
1.05Avg K/D
83.2ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
30%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis633%1.0318.7
Nuke560%0.9914.0
Dust2450%1.2321.3
Overpass20%0.8414.5
Inferno2100%1.4423.0
Ancient10%0.6210.0
Mirage10%0.8511.0

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.

19.6%Headshot accuracy
31.7%Accuracy (enemy spotted)
38.9%Spray accuracy
78.8%Counter-strafing
11.1°Preaim
573msReaction time
60.0%T opening success
52.9%CT opening success
0.49Enemies flashed / flash
5.0%Flash assists
5.82HE damage / grenade
7.52Flashes / 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 0.4864 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0415%1 Nov →
ancient13–60.0010%1 Nov →
anubis13–100.0313%30 Oct →
mirage7–13-0.0210%30 Oct →
mirage9–130.0127%30 Oct →
anubis13–1-0.0419%30 Oct →
inferno15–15-0.0714%30 Oct →
nuke1–13-0.0712%30 Oct →
cache11–130.0125%30 Oct →
anubis13–3-0.0227%30 Oct →
mirage13–6-0.0525%30 Oct →
ancient8–13-0.0011%29 Oct →
dust213–50.1116%29 Oct →
mirage13–100.0117%29 Oct →
anubis13–50.0420%29 Oct →
dust214–16-0.0225%29 Oct →
dust213–160.0122%29 Oct →
dust210–13-0.0019%29 Oct →
nuke16–120.0122%28 Oct →
dust213–110.0020%27 Oct →
anubis3–13-0.0416%27 Oct →
ancient4–13-0.0123%26 Oct →
ancient8–13-0.029%26 Oct →
cache4–13-0.0326%26 Oct →
ancient13–90.0824%26 Oct →
nuke6–130.0525%25 Oct →
ancient13–80.0215%25 Oct →
inferno13–70.0637%25 Oct →
nuke9–130.0422%25 Oct →
anubis13–100.1620%25 Oct →
inferno13–30.0110%23 Oct →
mirage13–100.0012%23 Oct →
anubis9–130.0012%23 Oct →
inferno4–9-0.1110%23 Oct →
nuke7–13-0.0122%23 Oct →
mirage15–150.0413%23 Oct →
mirage13–100.0119%23 Oct →
ancient13–100.0221%23 Oct →
ancient6–130.0020%23 Oct →
inferno2–13-0.029%22 Oct →
nuke13–50.0117%22 Oct →
nuke13–40.0126%21 Oct →
nuke13–70.1822%21 Oct →
mirage11–130.0522%21 Oct →
cache16–140.0021%20 Oct →
dust210–13-0.008%20 Oct →
nuke13–50.0117%20 Oct →
inferno3–13-0.0820%20 Oct →
inferno13–110.0417%20 Oct →
anubis13–100.0625%20 Oct →
inferno6–13-0.017%20 Oct →
dust28–13-0.0215%19 Oct →
nuke13–110.0329%19 Oct →
inferno10–13-0.0117%19 Oct →
dust213–90.0723%19 Oct →
dust210–130.0424%19 Oct →
inferno3–130.0412%19 Oct →
ancient13–100.0628%17 Oct →
cache16–120.0225%17 Oct →
nuke15–15-0.0017%17 Oct →
inferno8–130.0620%17 Oct →
nuke7–13-0.0313%17 Oct →
inferno10–13-0.0223%17 Oct →
inferno11–130.0621%13 Oct →
dust213–10-0.0420%13 Oct →
mirage14–16-0.0213%11 Oct →
inferno8–13-0.0414%11 Oct →
inferno15–150.0715%11 Oct →
dust27–13-0.0420%11 Oct →
dust23–130.0713%10 Oct →
mirage6–13-0.0418%10 Oct →
cache13–50.0318%10 Oct →
anubis13–40.0918%10 Oct →
inferno13–11-0.0014%10 Oct →
nuke13–90.1231%9 Oct →
ancient13–30.0014%9 Oct →
nuke13–100.1011%9 Oct →
cache8–130.0718%9 Oct →
mirage16–120.0319%8 Oct →
mirage13–00.1717%8 Oct →
mirage9–13-0.0416%7 Oct →
cache2–13-0.0414%7 Oct →
nuke4–13-0.0421%7 Oct →
anubis6–130.0210%5 Oct →
mirage13–90.0018%5 Oct →
cache13–90.0212%4 Oct →
dust213–110.0514%4 Oct →
nuke9–130.0019%4 Oct →
ancient13–4-0.018%4 Oct →
mirage13–100.058%4 Oct →
mirage5–13-0.0113%4 Oct →
nuke13–90.0713%4 Oct →
anubis4–13-0.0112%3 Oct →
nuke13–30.0213%3 Oct →
dust213–30.0112%3 Oct →
dust211–130.0013%3 Oct →
dust27–13-0.0626%3 Oct →
cache13–30.0720%3 Oct →
dust28–130.0323%3 Oct →
nuke9–130.0124%3 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.