Crazy Jörg

Crazy Jörg — CS2 Stats

DE76561197999865777[U:1:39600049]Steam profile ↗✓ No bans

960Tracked matches47%Win rate2020Tracked since
CSDB Rating6.7 SolidClutch Specialist
CSDB Leaderboard#53965 of 259896 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,193 +2,181 11 Apr – 6 Jul · 10 days played
20,00022,718peak 22,71811 Apr6 Jul
23,146Peak Premier in tracked matches
37Days played since 2026-02-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim75
Positioning71
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLWWLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · −20ms reaction

Win rate up 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 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim7.5
Utility6.9
Positioning7.1
Opening Duels6.1
Clutch10.0

Reliable 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.

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 59% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim7.5
Positioning7.1
Utility6.9
Mechanics7.5
Opening Duels4.7
Win Impact3.9

Composite 6.7/10 (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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time581ms−38ms
first ⅓ avg 619ms → last ⅓ avg 581ms
Headshot accuracy17.3%−1.4%
first ⅓ avg 18.7% → last ⅓ avg 17.3%

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

0.26Best match rating · 9–1 · eldorado, 19 Jul →
46%Best headshot accuracy · 6–0 · office, 21 Mar →
383msFastest reaction time · 8–13 · ancient, 20 Jun →
13–1Biggest win · office, 21 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
13–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

officeBest map · 83% over 6cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB147–750%0.03
ancientB126–650%0.03
nukeB105–550%0.05
anubisC104–640%0.03
overpassB105–550%0.03
vertigoA95–456%0.03
cacheD72–529%0.03
officeS65–183%0.05
italyC52–340%0.02
dust2—40–40%0.02
poseidon—20–20%0.02
sanctum—22–0100%0.12
eldorado—11–0100%0.26
shelter—11–0100%-0.03
fachwerk—11–0100%0.04
boulder—11–0100%0.08
mirage—10–10%-0.01
train—11–0100%0.03
stronghold—10–10%-0.04
warden—11–0100%0.01
alpine—10–10%0.04

Across the last 100 tracked matches.

Faceit stats

Combat

11Matches
55%Win rate
1.19Avg K/D
123.8ADR
38%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

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.

18.3%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.3%Spray accuracy
83.6%Counter-strafing
9.1°Preaim
584msReaction time
39.4%T opening success
58.6%CT opening success
0.61Enemies flashed / flash
6.4%Flash assists
13.02HE damage / grenade
8.46Flashes / 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 39.3622% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0319%4 Sept →
nuke11–130.0120%4 Sept →
anubis13–110.0525%27 Jul →
eldorado9–10.2611%19 Jul →
inferno3–130.0319%19 Jul →
ancient13–110.0520%18 Jul →
anubis13–30.0820%18 Jul →
cache10–13-0.0116%18 Jul →
anubis8–130.0113%18 Jul →
shelter13–9-0.0334%10 Jul →
fachwerk13–40.0418%10 Jul →
boulder13–70.0825%10 Jul →
ancient7–13-0.0127%6 Jul →
mirage8–13-0.0123%6 Jul →
vertigo9–13-0.0127%5 Jul →
ancient6–130.0218%5 Jul →
dust25–13-0.068%5 Jul →
nuke8–130.0312%5 Jul →
inferno13–60.0420%5 Jul →
anubis11–130.019%5 Jul →
nuke13–70.1015%5 Jul →
overpass8–130.0117%5 Jul →
inferno13–5-0.0119%5 Jul →
overpass13–110.0716%21 Jun →
inferno13–110.0511%21 Jun →
inferno13–60.0723%21 Jun →
ancient8–13-0.036%20 Jun →
ancient7–130.1022%20 Jun →
overpass9–30.122%19 Jun →
inferno8–8-0.015%19 Jun →
ancient14–160.0516%19 Jun →
vertigo13–90.0820%13 Jun →
inferno13–110.0015%13 Jun →
overpass8–130.0111%12 Jun →
office4–130.0733%12 Jun →
dust28–13-0.0221%12 Jun →
office13–110.0519%11 Jun →
italy10–3-0.0113%11 Jun →
cache13–30.0320%11 Jun →
vertigo13–100.0113%9 Jun →
vertigo9–4-0.0412%9 Jun →
vertigo13–50.0910%5 Jun →
overpass2–13-0.0724%1 Jun →
train13–110.0319%1 Jun →
anubis9–130.0915%1 Jun →
inferno10–130.0716%31 May →
vertigo2–13-0.0318%31 May →
italy6–130.0420%30 May →
cache11–130.0218%30 May →
inferno13–100.0612%30 May →
dust211–130.0411%30 May →
cache3–130.0318%29 May →
ancient13–40.0118%29 May →
overpass11–13-0.0318%29 May →
nuke7–130.0121%29 May →
cache8–13-0.0215%25 May →
inferno5–13-0.0323%25 May →
overpass13–70.0723%25 May →
italy10–13-0.008%8 May →
cache12–120.0219%8 May →
ancient16–140.0114%8 May →
nuke13–60.0928%8 May →
cache13–50.1112%8 May →
inferno7–130.0336%24 Apr →
anubis13–40.0727%24 Apr →
nuke13–70.0623%24 Apr →
dust28–130.1222%23 Apr →
vertigo10–130.0512%17 Apr →
italy4–130.0413%17 Apr →
office13–110.1523%11 Apr →
italy13–110.0315%11 Apr →
anubis4–13-0.0610%11 Apr →
overpass13–90.0621%11 Apr →
ancient13–20.1212%11 Apr →
nuke13–110.0110%11 Apr →
office13–11-0.0212%10 Apr →
stronghold4–13-0.0415%10 Apr →
inferno4–130.0232%10 Apr →
ancient13–9-0.0213%10 Apr →
poseidon8–80.0226%8 Apr →
sanctum9–00.1537%8 Apr →
ancient5–13-0.0115%7 Apr →
nuke8–130.0119%7 Apr →
nuke13–90.1818%27 Mar →
ancient13–70.0816%22 Mar →
nuke10–130.0213%22 Mar →
anubis13–80.0821%22 Mar →
vertigo10–13-0.0019%21 Mar →
office13–10.0215%21 Mar →
office6–00.0546%21 Mar →
overpass13–70.0518%27 Feb →
anubis10–130.0015%23 Feb →
overpass6–130.0520%23 Feb →
sanctum9–50.0917%20 Feb →
poseidon8–80.0323%20 Feb →
inferno13–100.0714%20 Feb →
warden13–110.0119%16 Feb →
anubis9–13-0.0523%16 Feb →
alpine5–130.0416%13 Feb →
vertigo13–10.1319%6 Feb →

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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