Strudelin Gabber le retour

Strudelin Gabber le retour — CS2 Stats

SY76561198397309593[U:1:437043865]Steam profile ↗✓ No bans

410Tracked matches66%Win rate2020Tracked since
732Hours in CS
CSDB Rating6.8 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 410 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 6 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,991 +1,163 6 Mar3 Jul · 28 days played
18,64720,991peak 20,9916 Mar3 Jul
Faceit ELO: 1,529 +0 31 Aug15 Sept · 6 observations
1,5291,529peak 1,52931 Aug15 Sept
21,002Peak Premier in tracked matches
1,529Highest Faceit ELO seen on CSDB
47Days played since 2026-03-06

Faceit ELO

  • At peak — 1,529
  • Next: Level 8 at 1,531 2 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-31
  • Level 6 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

No matches recorded between 12 Sep 2026 and 17 Sep 2026.

Measured 12 Sep 202617 Sep 2026; previous 4 Sep 2026 → 12 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGStrudelin Gabber le retourPEAK ELO1,529csdb.gg/stats

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Performance scores

Aim83
Positioning63
Utility52

0–100 skill scores via Leetify.

Recent form

HOT513712Last 10051%Win rateWLWWWWTLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · +4ms 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

  • 41 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 26%
  • Avg reaction 700ms

Last 10

  • 721 · 70% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 30%
  • Avg reaction 639ms

Last 20

  • 1451 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 31%
  • Avg reaction 637ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim8.3
Utility5.2
Positioning6.3
Opening Duels6.2
Clutch3.2

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

donk

Plays most like donk 98% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 609ms 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

Aim8.3
Positioning6.3
Utility5.2
Mechanics7.6
Opening Duels5.3
Win Impact10.0

Composite 6.8/10 (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 rating0.04−0.00
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time620ms+11ms
first ⅓ avg 609ms → last ⅓ avg 620ms
Headshot accuracy28.7%+4.6%
first ⅓ avg 24.1% → last ⅓ avg 28.7%

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 · 13–3 · dust2, 14 May
47%Best headshot accuracy · 13–4 · dust2, 1 Jul
438msFastest reaction time · 10–13 · nuke, 10 May
13–1Biggest win · dust2, 22 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
84In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 64% over 39mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A39251464%0.05
nukeC2191243%0.03
infernoB147750%0.06
mirageD92722%0.03
cacheD62433%0.06
overpassA53260%0.07
anubis42250%0.01
ancient1010%0.03
vertigo110100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,609Lifetime kills
1.23K/D · Top 25% of tracked players
1,786Matches
51.2%Match win rate · Top 25% of tracked players
58.6%Headshot % · Top 10% of tracked players
15.1%Shot accuracy · Top 50% of tracked players
7,101MVPs
732Hours (in match)
1,690Bombs planted
850Bombs defused

Most-used weapons

AK-4715,967
AWP1,311
P250597
Knife444
MP9439

Lifetime map wins

4,374dust2
2,595inferno
1,300cbble
1,160nuke
369train
184vertigo
75lake
50office

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

Faceit stats

Combat

165Matches
52%Win rate
1.46Avg K/D
102.1ADR
54%Headshot %

Clutches & streaks

36%1v1 clutch win
32%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust23171%1.7724.0
Inferno1947%1.5120.5
Mirage1942%1.3218.8
Nuke1155%1.4818.4
Ancient757%1.2320.1
Train650%1.7624.7
Overpass10%0.9416.0
Anubis1100%1.1416.0

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.

28.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.9%Spray accuracy
84.0%Counter-strafing
9.4°Preaim
609msReaction time
53.5%T opening success
48.9%CT opening success
0.65Enemies flashed / flash
7.2%Flash assists
10.00HE damage / grenade
2.88Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8799 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–140.0127%4 Aug
cache3–130.0418%12 Jul
nuke13–40.1418%12 Jul
overpass5–00.0838%12 Jul
dust213–30.1427%3 Jul
inferno13–70.1034%3 Jul
dust215–150.0932%3 Jul
anubis8–130.0121%2 Jul
nuke13–40.0444%2 Jul
dust213–40.0247%1 Jul
inferno7–130.0845%1 Jul
inferno10–130.0543%22 Jun
dust213–70.1030%22 Jun
dust213–10.1137%22 Jun
overpass13–110.0924%17 Jun
inferno13–80.0827%17 Jun
dust213–70.0122%16 Jun
inferno13–90.0230%16 Jun
mirage4–13-0.0521%15 Jun
dust216–12-0.0132%15 Jun
nuke16–140.0334%9 Jun
dust213–70.0419%9 Jun
dust22–13-0.0523%7 Jun
dust214–160.0443%1 Jun
dust213–5-0.0121%29 May
nuke8–13-0.0124%27 May
anubis13–100.0112%26 May
mirage9–13-0.0227%26 May
nuke13–50.0024%26 May
ancient8–130.0322%26 May
dust213–110.0236%25 May
nuke10–130.0227%25 May
inferno13–80.1120%24 May
dust213–50.1538%24 May
dust213–90.0235%24 May
nuke13–30.0220%24 May
mirage3–13-0.0317%24 May
overpass9–130.0230%24 May
overpass13–100.0716%24 May
dust213–50.0725%24 May
cache13–90.0821%19 May
nuke9–13-0.0225%19 May
mirage10–130.0527%18 May
dust25–13-0.0124%18 May
inferno13–90.1727%18 May
inferno5–130.0128%17 May
cache12–120.1136%17 May
mirage11–130.0941%17 May
dust27–10.1125%17 May
nuke11–130.0624%17 May
dust213–90.0533%17 May
cache12–120.0932%16 May
anubis7–130.0125%14 May
nuke15–150.0522%14 May
dust213–30.1843%14 May
nuke13–30.0828%14 May
dust29–130.0428%14 May
nuke13–10-0.0022%11 May
nuke10–130.0330%10 May
mirage13–90.1126%10 May
dust213–70.0222%10 May
cache13–100.0420%10 May
nuke6–130.0420%10 May
inferno15–150.0728%10 May
dust28–130.0022%10 May
cache9–13-0.0019%9 May
inferno7–13-0.0128%22 Apr
dust215–150.0824%21 Apr
mirage13–40.0634%21 Apr
nuke12–120.0317%21 Apr
dust213–90.0718%20 Apr
inferno13–100.0419%16 Apr
inferno15–150.0631%12 Apr
nuke4–130.0322%12 Apr
dust213–50.0217%12 Apr
dust213–110.0730%9 Apr
dust213–100.0637%8 Apr
dust24–130.0828%6 Apr
dust212–120.0030%6 Apr
inferno16–140.0824%5 Apr
nuke13–100.0317%31 Mar
dust213–11-0.0414%30 Mar
mirage10–130.0831%29 Mar
dust212–120.1337%29 Mar
dust210–130.0334%26 Mar
nuke11–13-0.0112%25 Mar
dust213–100.0125%25 Mar
nuke8–130.0018%24 Mar
inferno8–130.0022%23 Mar
dust213–50.1026%23 Mar
dust212–120.0934%22 Mar
nuke6–130.0224%16 Mar
anubis13–60.0213%15 Mar
vertigo13–110.0223%15 Mar
dust213–60.0416%10 Mar
nuke13–100.1323%9 Mar
overpass8–130.0824%9 Mar
dust26–130.0233%9 Mar
dust215–150.0323%6 Mar
mirage9–130.0114%6 Mar

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 →