jonZ — CS2 Stats

76561198225761336[U:1:265495608]✓ No bans

318Tracked matches48%Win rate2021Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating17,618Purple band · top ~18% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning48

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLWWLLLWWWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.3

Aggression5.7

Utility4.5

Positioning4.8

Opening Duels2.1

Clutch1.2

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 NiKo 87% 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

Reaction time. 588ms 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

Positioning4.8

Utility4.5

Mechanics5.8

Opening Duels2.1

Win Impact4.4

Composite 5.3/10 (Developing), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time575ms−62ms

first ⅓ avg 638ms → last ⅓ avg 575ms

Headshot accuracy22.0%+1.4%

first ⅓ avg 20.5% → last ⅓ avg 22.0%

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

0.14Best rating — ancient 13–4

13–1Biggest win — nuke

5Longest win streak

9–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 90% over 10dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	9–10	47%	0.00
ancient	B	17	8–9	47%	0.01
inferno	B	17	8–9	47%	-0.00
dust2	D	12	4–8	33%	0.01
nuke	C	12	5–7	42%	0.01
anubis	C	10	4–6	40%	-0.01
cache	S	10	9–1	90%	0.04
vertigo	—	3	1–2	33%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

140Matches

48%Win rate

1.14Avg K/D

80.2ADR

53%Headshot %

Clutches & streaks

26%1v1 clutch win

23%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	28	54%	1.26	17.6
Mirage	27	59%	1.32	16.4
Dust2	24	46%	1.02	15.6
Nuke	22	45%	1.11	15.0
Ancient	21	38%	1.10	16.9
Train	7	29%	0.78	12.3
Overpass	5	80%	1.03	16.0
Anubis	4	0%	0.93	15.3

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.

22.2%Headshot accuracy

37.1%Accuracy (enemy spotted)

41.5%Spray accuracy

75.9%Counter-strafing

11.8°Preaim

588msReaction time

41.4%T opening success

35.3%CT opening success

0.43Enemies flashed / flash

5.6%Flash assists

5.37HE damage / grenade

13.69Flashes / 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 0.435 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.2782% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	0.03	20%	28 Aug →
vertigo	9–5	0.03	14%	27 Aug →
cache	13–4	0.06	14%	27 Aug →
ancient	6–13	0.04	12%	26 Aug →
dust2	10–13	0.04	18%	26 Aug →
dust2	11–13	0.03	12%	26 Aug →
mirage	13–11	-0.04	39%	25 Aug →
ancient	13–4	0.14	29%	25 Aug →
dust2	13–9	-0.05	25%	25 Aug →
nuke	13–6	-0.02	30%	25 Aug →
inferno	6–13	-0.09	23%	25 Aug →
anubis	13–9	-0.07	20%	25 Aug →
ancient	9–13	-0.06	14%	24 Aug →
nuke	12–12	-0.01	29%	24 Aug →
mirage	9–13	0.03	30%	23 Aug →
inferno	13–5	0.04	4%	23 Aug →
mirage	3–13	0.04	29%	23 Aug →
dust2	13–5	0.01	17%	23 Aug →
nuke	8–13	0.05	35%	23 Aug →
vertigo	11–9	0.02	25%	23 Aug →
nuke	13–3	0.10	24%	22 Aug →
anubis	13–7	-0.01	17%	22 Aug →
inferno	13–9	0.04	30%	22 Aug →
ancient	13–6	0.06	22%	22 Aug →
vertigo	12–12	-0.01	21%	22 Aug →
anubis	11–13	-0.00	12%	20 Aug →
inferno	10–13	0.01	22%	19 Aug →
dust2	12–12	0.05	22%	19 Aug →
inferno	10–13	0.09	22%	18 Aug →
nuke	13–1	0.04	11%	18 Aug →
mirage	5–13	-0.03	31%	10 Aug →
inferno	15–15	0.03	23%	9 Aug →
inferno	6–13	0.05	27%	7 Aug →
ancient	13–11	0.02	20%	7 Aug →
dust2	13–9	0.03	32%	7 Aug →
ancient	16–14	0.10	17%	7 Aug →
ancient	15–15	0.01	20%	7 Aug →
cache	13–4	0.08	24%	6 Aug →
anubis	7–13	-0.01	12%	6 Aug →
ancient	15–15	-0.03	24%	5 Aug →
inferno	13–6	-0.02	21%	3 Aug →
nuke	15–15	0.00	11%	2 Aug →
ancient	6–13	-0.02	18%	2 Aug →
cache	13–11	0.04	18%	2 Aug →
dust2	13–10	-0.01	13%	2 Aug →
ancient	12–16	-0.07	21%	1 Aug →
nuke	3–13	-0.01	26%	1 Aug →
cache	13–11	-0.01	13%	31 Jul →
anubis	10–13	-0.04	28%	31 Jul →
dust2	8–13	-0.02	18%	31 Jul →
mirage	14–16	0.03	27%	30 Jul →
ancient	13–9	-0.01	19%	30 Jul →
inferno	13–11	-0.05	18%	30 Jul →
anubis	6–13	0.03	20%	29 Jul →
ancient	10–13	-0.03	31%	29 Jul →
nuke	4–13	-0.02	4%	29 Jul →
mirage	4–13	-0.03	23%	29 Jul →
inferno	8–1	-0.03	24%	25 Jul →
mirage	13–8	0.00	13%	25 Jul →
cache	13–8	0.04	27%	25 Jul →
mirage	13–11	0.05	29%	25 Jul →
ancient	13–6	0.01	19%	25 Jul →
inferno	8–13	0.01	17%	24 Jul →
anubis	13–7	-0.01	18%	24 Jul →
mirage	4–13	-0.03	24%	24 Jul →
cache	13–9	0.06	17%	24 Jul →
mirage	13–11	0.03	15%	24 Jul →
inferno	13–5	0.00	18%	24 Jul →
cache	13–7	0.07	29%	23 Jul →
inferno	13–6	0.03	16%	23 Jul →
anubis	10–13	-0.02	19%	23 Jul →
nuke	13–10	-0.02	16%	23 Jul →
cache	13–4	0.02	12%	23 Jul →
ancient	13–6	0.02	29%	23 Jul →
dust2	3–13	-0.05	18%	23 Jul →
mirage	13–5	0.02	14%	23 Jul →
inferno	8–13	0.01	13%	22 Jul →
ancient	7–13	-0.03	22%	22 Jul →
inferno	13–9	-0.03	15%	22 Jul →
mirage	13–7	-0.04	16%	22 Jul →
dust2	11–13	0.01	27%	21 Jul →
anubis	13–4	-0.00	31%	21 Jul →
cache	8–13	0.01	22%	21 Jul →
mirage	13–4	0.08	23%	21 Jul →
inferno	1–9	-0.07	31%	21 Jul →
ancient	15–15	0.03	23%	20 Jul →
dust2	7–13	0.05	28%	20 Jul →
mirage	8–13	-0.06	11%	20 Jul →
ancient	13–10	0.04	21%	20 Jul →
cache	13–7	-0.01	25%	20 Jul →
nuke	5–13	0.01	22%	20 Jul →
nuke	13–11	0.04	18%	20 Jul →
mirage	11–13	-0.04	17%	19 Jul →
mirage	13–2	-0.02	18%	19 Jul →
dust2	8–13	-0.01	25%	19 Jul →
inferno	4–9	-0.08	24%	12 Oct →
mirage	15–15	-0.00	18%	22 Sept →
mirage	7–13	0.04	23%	16 Sept →
nuke	6–13	-0.04	13%	16 Sept →
mirage	13–2	0.01	18%	15 Sept →