[BB] Jocke — CS2 Stats

SE76561198030514428[U:1:70248700]Steam profile ↗

515Tracked matches64%Win rate2023Tracked since

CSDB Rating4.1 Developing

Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#29290 of 40574 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning44

Utility27

0–100 skill scores via Leetify.

Recent form

COLD56–39–5Last 10056%Win rateTWTLLWLLLW

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Aim3.7

Aggression5.9

Utility2.7

Positioning4.4

Opening Duels1.8

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

Plays most like Twistzz 75% playstyle similarity

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

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 45% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 683ms 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

Aim3.7

Positioning4.4

Utility2.7

Mechanics5.3

Opening Duels1.9

Win Impact9.8

Composite 4.1/10 (Developing), 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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time711ms+3ms

first ⅓ avg 707ms → last ⅓ avg 711ms

Headshot accuracy16.5%−2.7%

first ⅓ avg 19.2% → last ⅓ avg 16.5%

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

0.16Best rating — inferno 9–3

13–2Biggest win — ancient

7Longest win streak

10–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 89% over 9anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	15–12	56%	-0.03
nuke	B	23	11–12	48%	-0.05
ancient	A	12	7–5	58%	-0.03
anubis	D	10	2–8	20%	-0.04
overpass	S	9	8–1	89%	-0.02
mirage	S	8	7–1	88%	-0.00
vertigo	—	4	3–1	75%	-0.05
dust2	—	3	1–2	33%	-0.05
debris	—	1	1–0	100%	0.02
eldorado	—	1	0–1	0%	-0.05
poseidon	—	1	0–1	0%	-0.16
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches

25%Win rate

0.69Avg K/D

—ADR

50%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	4	25%	0.74	10.5
Mirage	2	0%	0.58	13.0
Nuke	2	50%	0.86	15.5
Vertigo	1	0%	0.23	3.0
Overpass	1	100%	1.11	20.0
Anubis	1	0%	0.71	12.0

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.

16.2%Headshot accuracy

30.3%Accuracy (enemy spotted)

30.1%Spray accuracy

73.6%Counter-strafing

11.0°Preaim

683msReaction time

29.7%T opening success

45.0%CT opening success

0.35Enemies flashed / flash

0.9%Flash assists

7.35HE damage / grenade

1.97Flashes / 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.

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 0.3503 — below the 0.5 mark we flag
Grenade Lineups →
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 29.7154% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	12–12	-0.06	11%	24 Jul →
debris	9–2	0.02	21%	17 Jul →
eldorado	8–8	-0.05	10%	17 Jul →
inferno	7–9	-0.16	14%	17 Jul →
inferno	8–13	-0.05	24%	3 Jul →
nuke	13–4	-0.00	16%	3 Jul →
anubis	7–13	-0.02	10%	3 Jul →
inferno	6–9	-0.03	17%	3 Jul →
nuke	11–13	-0.02	12%	12 Jun →
overpass	9–6	0.15	24%	12 Jun →
anubis	7–13	-0.06	17%	5 Jun →
overpass	16–13	-0.04	15%	5 Jun →
anubis	2–13	-0.09	21%	5 Jun →
inferno	13–4	-0.03	25%	29 May →
anubis	13–9	-0.03	18%	29 May →
inferno	13–11	-0.05	10%	29 May →
mirage	9–13	-0.06	13%	29 May →
ancient	13–2	-0.05	18%	22 May →
mirage	13–8	-0.03	20%	22 May →
anubis	11–13	-0.02	14%	22 May →
inferno	9–5	0.06	11%	22 May →
inferno	9–6	0.08	20%	22 May →
overpass	13–10	-0.08	15%	8 May →
anubis	9–13	-0.05	20%	8 May →
inferno	13–11	-0.06	13%	8 May →
nuke	6–13	-0.08	16%	30 Apr →
overpass	13–9	-0.02	12%	30 Apr →
inferno	13–9	-0.01	10%	30 Apr →
anubis	13–11	-0.04	29%	30 Apr →
dust2	13–9	-0.05	13%	24 Apr →
inferno	15–15	-0.13	24%	24 Apr →
ancient	13–9	-0.07	15%	24 Apr →
mirage	13–6	0.03	17%	24 Apr →
anubis	5–13	-0.06	8%	17 Apr →
inferno	13–5	-0.04	19%	17 Apr →
ancient	13–2	0.03	17%	17 Apr →
mirage	13–5	0.01	18%	17 Apr →
nuke	7–13	-0.05	7%	17 Apr →
overpass	13–5	-0.04	23%	17 Apr →
overpass	13–8	-0.05	17%	17 Apr →
ancient	13–5	0.01	24%	17 Apr →
inferno	3–9	-0.11	33%	17 Apr →
dust2	15–15	-0.05	14%	10 Apr →
nuke	9–13	-0.12	13%	10 Apr →
ancient	13–10	-0.01	10%	10 Apr →
ancient	11–13	-0.02	23%	10 Apr →
ancient	12–16	-0.04	25%	2 Apr →
nuke	13–8	-0.05	17%	2 Apr →
inferno	13–9	-0.10	11%	2 Apr →
nuke	6–13	-0.03	20%	27 Mar →
inferno	7–13	-0.02	23%	27 Mar →
mirage	13–10	-0.03	26%	27 Mar →
nuke	14–16	-0.06	8%	20 Mar →
inferno	13–10	-0.07	23%	20 Mar →
ancient	13–5	-0.01	7%	20 Mar →
nuke	6–9	-0.08	23%	20 Mar →
inferno	2–9	-0.13	18%	20 Mar →
nuke	3–9	-0.19	33%	20 Mar →
ancient	5–13	-0.10	21%	14 Mar →
mirage	13–3	0.09	18%	14 Mar →
nuke	6–9	-0.06	33%	14 Mar →
nuke	9–7	-0.02	19%	14 Mar →
poseidon	4–9	-0.16	24%	14 Mar →
vertigo	9–6	0.01	24%	14 Mar →
nuke	9–1	0.10	32%	14 Mar →
nuke	13–6	0.01	11%	6 Mar →
inferno	7–13	-0.06	10%	6 Mar →
ancient	2–13	-0.11	30%	6 Mar →
ancient	13–11	0.02	19%	20 Feb →
nuke	13–10	0.04	14%	20 Feb →
nuke	9–5	0.03	15%	20 Feb →
overpass	9–4	-0.00	24%	20 Feb →
vertigo	9–5	-0.07	27%	20 Feb →
nuke	9–7	-0.07	23%	20 Feb →
inferno	9–5	0.08	33%	20 Feb →
inferno	9–13	0.01	12%	6 Feb →
mirage	13–6	0.01	16%	6 Feb →
nuke	13–9	-0.09	13%	6 Feb →
nuke	9–5	-0.11	18%	6 Feb →
inferno	7–9	-0.00	22%	6 Feb →
dust2	5–13	-0.04	9%	30 Jan →
nuke	10–13	-0.09	15%	30 Jan →
overpass	9–7	-0.05	15%	30 Jan →
inferno	7–9	-0.05	12%	30 Jan →
vertigo	9–5	-0.09	13%	30 Jan →
overpass	10–13	-0.07	26%	23 Jan →
nuke	14–16	-0.06	10%	23 Jan →
inferno	13–7	0.01	19%	23 Jan →
mirage	13–11	-0.01	28%	23 Jan →
anubis	8–13	0.06	21%	23 Jan →
inferno	9–7	0.07	23%	23 Jan →
inferno	7–9	-0.05	21%	23 Jan →
nuke	0–9	-0.16	13%	23 Jan →
vertigo	7–9	-0.04	5%	23 Jan →
train	16–12	-0.00	13%	16 Jan →
inferno	13–11	-0.03	23%	16 Jan →
inferno	13–9	0.00	20%	16 Jan →
nuke	13–7	-0.03	24%	16 Jan →
ancient	12–12	-0.05	23%	16 Jan →
inferno	9–3	0.16	33%	16 Jan →