GÖNNERGY GÜNTHER

GÖNNERGY GÜNTHER — CS2 Stats

DE76561198263100557[U:1:302834829]Steam profile ↗✓ No bans

1,540Tracked matches40%Win rate2020Tracked since
3,463Hours in CS15Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating20,388Top 50% of 204,316 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#75280 of 251456 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (36 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: 20,388 -811 12 May – 8 Sept · 16 days played
19,61121,199peak 21,19912 May8 Sept
21,923Peak Premier in tracked matches
42Days played since 2026-05-12

Premier CS Rating

  • 811 below peak (21,199)
  • +388 over 30 days · steady
  • Next: Red band at 25,000 — 4,612 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.3%46.8%48.2%5.0% short
Shot accuracy10.6%13.0%13.3%2.6% short
Kill/death ratio0.951.061.070.12 short
Match win rate46.2%46.3%46.9%meets

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGÖNNERGY GÜNTHERFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,388 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWLWLLWLWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +3.1pp headshot accuracy · −24ms reaction

Win rate up 50pp 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 18%
  • Avg reaction 520ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 521ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 533ms

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 (+1.1 against its own average).

Aim7.3
Utility5.5
Positioning6.1
Opening Duels4.3
Clutch4.0

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

s1mple

Plays most like s1mple 89% 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. 561ms 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

Aim7.3
Positioning6.1
Utility5.5
Mechanics5.9
Opening Duels5.3
Win Impact1.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time572ms−27ms
first ⅓ avg 599ms → last ⅓ avg 572ms
Headshot accuracy20.9%+2.3%
first ⅓ avg 18.6% → last ⅓ avg 20.9%

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

0.11Best match rating · 9–4 · inferno, 1 Aug →
40%Best headshot accuracy · 13–4 · inferno, 20 Aug →
336msFastest reaction time · 7–9 · inferno, 27 Jul →
13–0Biggest win · inferno, 21 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
11–15In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%0.00
dust2C239–1439%-0.01
infernoC207–1335%-0.03
ancientC104–640%-0.01
nukeA95–456%0.01
cacheA85–363%0.00
anubisC52–340%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,352Lifetime kills
0.95K/D
4,940Matches
46.2%Match win rate
43.3%Headshot %
10.6%Shot accuracy
9,757MVPs
1,937Hours (in match)
2,644Bombs planted
744Bombs defused

Most-used weapons

AK-4721,894
AWP8,009
MP95,115
MAC-102,911
SSG 082,114

Lifetime map wins

14,446dust2
10,161inferno
1,144nuke
435train
279cbble
220vertigo
79lake
45safehouse

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

Faceit stats

Combat

305Matches
51%Win rate
1.06Avg K/D
81.5ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust28351%1.1816.6
Mirage7543%0.9815.5
Ancient3456%1.0116.7
Inferno2861%1.0614.9
Anubis2846%0.9315.5
Cache2273%1.1917.9
Nuke1759%1.0818.1
Vertigo20%0.7516.5

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.

20.8%Headshot accuracy
31.8%Accuracy (enemy spotted)
32.3%Spray accuracy
76.5%Counter-strafing
7.4°Preaim
561msReaction time
47.6%T opening success
54.6%CT opening success
0.57Enemies flashed / flash
3.8%Flash assists
9.39HE damage / grenade
10.53Flashes / match

Recommended for you

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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0622%13 Oct →
mirage10–130.0026%6 Oct →
dust216–14-0.0111%1 Oct →
mirage4–13-0.0213%29 Sept →
nuke11–13-0.0820%29 Sept →
cache13–110.0228%21 Sept →
mirage16–19-0.0522%17 Sept →
cache13–70.0321%15 Sept →
ancient13–110.0419%13 Sept →
mirage13–5-0.0423%12 Sept →
mirage11–130.0420%12 Sept →
dust22–13-0.0618%8 Sept →
dust29–13-0.0215%8 Sept →
dust211–130.0116%3 Sept →
mirage3–13-0.1015%3 Sept →
ancient4–13-0.0213%2 Sept →
mirage4–13-0.0519%29 Aug →
ancient1–13-0.0413%26 Aug →
cache13–5-0.0133%24 Aug →
mirage11–13-0.0115%24 Aug →
cache13–110.0423%24 Aug →
dust211–130.0037%20 Aug →
dust28–13-0.0420%20 Aug →
inferno13–40.0540%20 Aug →
mirage9–13-0.0120%20 Aug →
anubis13–70.0224%18 Aug →
mirage7–13-0.0320%11 Aug →
dust215–19-0.0419%11 Aug →
dust213–90.0216%6 Aug →
ancient13–50.0625%1 Aug →
inferno9–40.1129%1 Aug →
ancient9–130.0223%1 Aug →
mirage14–160.0114%30 Jul →
dust23–13-0.0510%30 Jul →
inferno9–7-0.1018%30 Jul →
cache13–11-0.0410%29 Jul →
dust213–90.0421%29 Jul →
inferno8–8-0.0226%29 Jul →
inferno9–50.0025%29 Jul →
inferno3–9-0.1015%29 Jul →
dust23–13-0.0329%29 Jul →
nuke13–70.0427%29 Jul →
dust213–10-0.0020%28 Jul →
inferno7–9-0.0815%27 Jul →
anubis11–13-0.0223%27 Jul →
anubis13–5-0.0318%27 Jul →
inferno9–13-0.0513%27 Jul →
inferno1–9-0.2240%25 Jul →
inferno1–9-0.2527%25 Jul →
inferno9–60.0438%25 Jul →
dust213–90.0316%25 Jul →
anubis9–13-0.0317%25 Jul →
mirage14–160.0122%24 Jul →
nuke1–110.0516%22 Jul →
inferno13–00.0214%21 Jul →
dust214–160.0215%20 Jul →
cache10–13-0.0020%17 Jul →
ancient5–13-0.0627%15 Jul →
cache15–19-0.0217%15 Jul →
mirage13–60.0015%15 Jul →
dust29–130.0011%15 Jul →
dust213–11-0.0120%15 Jul →
nuke13–7-0.0320%14 Jul →
nuke13–80.0921%14 Jul →
dust24–130.0415%9 Jul →
dust213–10-0.0219%9 Jul →
dust27–130.0023%9 Jul →
cache15–150.0011%9 Jul →
ancient16–14-0.0020%6 Jul →
anubis14–16-0.0410%2 Jul →
mirage13–10-0.0212%25 Jun →
dust28–13-0.0814%22 Jun →
mirage13–110.0516%19 Jun →
nuke16–130.0213%20 May →
nuke5–13-0.1116%19 May →
mirage13–110.0419%19 May →
nuke15–150.0216%19 May →
mirage13–100.0825%19 May →
ancient12–16-0.0516%19 May →
mirage5–13-0.0727%19 May →
ancient7–13-0.0519%19 May →
mirage13–00.1118%19 May →
mirage9–130.057%13 May →
mirage11–130.0320%13 May →
mirage16–130.0112%13 May →
inferno3–13-0.0324%13 May →
dust211–13-0.0515%12 May →
mirage11–130.0118%12 May →
ancient13–90.0210%12 May →
inferno6–9-0.0023%12 May →
inferno3–9-0.0319%12 May →
inferno6–90.0628%12 May →
inferno9–5-0.0423%12 May →
inferno7–90.0527%12 May →
dust213–90.0325%12 May →
mirage16–140.0011%12 May →
inferno5–90.0322%12 May →
inferno8–8-0.0435%12 May →
mirage2–13-0.0618%12 May →
dust213–100.0425%12 May →

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.