♿Fuckenmann — CS2 Stats

76561198181523841[U:1:221258113]✓ No bans

3,295Tracked matches40%Win rate2020Tracked since
CSDB Rating3.5 LearningClutch Specialist
Premier CS Rating13,157Blue band · top ~38.2% of ranked players (population est.)
CSDB Leaderboard#14816 of 21672 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GG♿FuckenmannFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER13,157 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning34
Utility34

0–100 skill scores via Leetify.

Recent form

COLD424216Last 10042%Win rateLTLTLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.4
Aggression2.5
Utility3.4
Positioning3.4
Opening Duels0.1
Clutch8.6

Strong CT-side openerLimited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 71% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 43% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim4.4
Positioning3.4
Utility3.4
Mechanics5.4
Opening Duels1.7
Win Impact1.7

Composite 3.5/10 (Learning), 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 time676ms−3ms
first ⅓ avg 679ms → last ⅓ avg 676ms
Headshot accuracy17.7%+1.1%
first ⅓ avg 16.6% → last ⅓ avg 17.7%

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.

Highlights

0.32Best rating — inferno 9–3
131Biggest win — cache
5Longest win streak
117In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 49% over 53cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB53262749%-0.00
dust2D2251723%-0.03
cacheD51420%-0.02
anubisD51420%-0.03
mirage42250%-0.02
ancient43175%-0.03
nuke42250%-0.08
fachwerk1010%-0.00
train110100%0.00
vertigo110100%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

73Matches
60%Win rate
0.96Avg K/D
58.2ADR
41%Headshot %

Clutches & streaks

63%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust22861%0.8813.4
Inferno1759%1.0012.5
Nuke1060%1.1716.2
Anubis786%1.0915.9
Ancient650%0.6713.0
Vertigo333%1.1116.0
Mirage1100%1.1820.0
Train10%0.315.0

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.

16.6%Headshot accuracy
28.8%Accuracy (enemy spotted)
32.5%Spray accuracy
74.2%Counter-strafing
9.8°Preaim
661msReaction time
17.3%T opening success
43.4%CT opening success
0.45Enemies flashed / flash
8.3%Flash assists
8.96HE damage / grenade
1.63Flashes / 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 0.4505 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 17.2785% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache11–130.0216%25 Aug
fachwerk12–12-0.0016%25 Aug
anubis11–13-0.0621%25 Aug
dust212–12-0.0422%25 Aug
anubis7–13-0.0613%21 Aug
dust25–130.0421%21 Aug
dust210–13-0.0324%21 Aug
dust27–13-0.0810%21 Aug
dust27–13-0.0624%18 Aug
inferno13–11-0.008%18 Aug
anubis13–80.0123%18 Aug
mirage4–130.0210%18 Aug
dust213–30.0311%18 Aug
dust28–13-0.0710%18 Aug
cache12–12-0.0616%18 Aug
inferno9–60.065%15 Aug
inferno7–9-0.0630%15 Aug
inferno2–9-0.1420%13 Aug
inferno9–20.1621%13 Aug
inferno8–80.0136%13 Aug
dust213–7-0.058%10 Aug
inferno13–5-0.0218%10 Aug
inferno9–6-0.0029%9 Aug
inferno8–8-0.0319%9 Aug
inferno9–40.1428%9 Aug
inferno8–8-0.0611%9 Aug
inferno8–80.0213%9 Aug
inferno9–60.0515%9 Aug
cache6–130.0130%8 Aug
ancient13–9-0.078%7 Aug
dust213–60.0420%7 Aug
dust213–7-0.085%7 Aug
inferno6–9-0.0624%7 Aug
inferno4–9-0.0829%7 Aug
inferno7–13-0.0618%7 Aug
ancient15–15-0.0514%7 Aug
inferno8–80.0130%5 Aug
inferno9–7-0.0114%5 Aug
inferno9–10.0918%5 Aug
inferno9–4-0.127%5 Aug
inferno6–90.0216%5 Aug
inferno5–9-0.0416%5 Aug
inferno9–70.1216%5 Aug
dust212–120.0215%5 Aug
train13–20.0012%5 Aug
vertigo13–9-0.0535%5 Aug
inferno9–7-0.0213%5 Aug
inferno9–50.0426%5 Aug
inferno7–10.030%5 Aug
inferno7–9-0.0421%5 Aug
inferno2–9-0.2821%5 Aug
inferno6–9-0.0717%4 Aug
inferno7–9-0.0330%4 Aug
inferno9–30.2014%4 Aug
inferno9–30.3226%4 Aug
inferno8–80.0319%4 Aug
inferno9–30.0121%4 Aug
inferno8–8-0.090%4 Aug
inferno9–7-0.0925%4 Aug
nuke4–9-0.1514%4 Aug
inferno4–9-0.0723%4 Aug
inferno9–5-0.0519%4 Aug
inferno8–8-0.0116%4 Aug
inferno8–80.0417%4 Aug
dust210–13-0.0217%4 Aug
anubis8–13-0.0619%4 Aug
inferno9–7-0.0618%4 Aug
inferno9–50.0818%4 Aug
dust25–13-0.0813%4 Aug
dust211–13-0.0317%3 Aug
nuke9–13-0.0915%3 Aug
inferno13–110.0117%3 Aug
ancient13–110.0720%3 Aug
nuke13–9-0.0514%3 Aug
dust26–13-0.0615%3 Aug
dust26–13-0.0314%3 Aug
inferno7–13-0.0216%3 Aug
mirage13–10-0.0324%3 Aug
inferno13–110.0413%31 Jul
dust27–13-0.0116%31 Jul
cache13–1-0.0011%31 Jul
mirage12–12-0.0313%31 Jul
dust213–11-0.0212%31 Jul
mirage13–5-0.0312%31 Jul
dust212–120.0020%31 Jul
dust210–13-0.0211%31 Jul
inferno16–13-0.0224%31 Jul
nuke13–8-0.045%31 Jul
anubis9–130.0416%31 Jul
inferno9–70.026%29 Jul
inferno7–9-0.0315%29 Jul
inferno5–9-0.0318%29 Jul
inferno4–9-0.119%29 Jul
inferno5–9-0.1413%29 Jul
inferno9–10.1830%29 Jul
inferno5–9-0.0830%29 Jul
dust26–13-0.0911%29 Jul
dust28–13-0.0132%29 Jul
cache9–13-0.0521%26 Jul
ancient13–2-0.0824%26 Jul

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 →