Jozzma — CS2 Stats

SE76561198042857727[U:1:82591999]Steam profile ↗✓ No bans

832Tracked matches41%Win rate2022Tracked since

3,363Hours in CS11Hrs last 2 wks

CSDB Rating4.1 Developing

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim51

Positioning34

Utility49

0–100 skill scores via Leetify.

Recent form

COLD36–59–5Last 10036%Win rateLLLLLTWLWL

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim5.1

Aggression2.9

Utility4.9

Positioning3.4

Opening Duels0.0

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 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 642ms 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

Aim5.1

Positioning3.4

Utility4.9

Mechanics6.6

Opening Duels0.1

Win Impact1.9

Composite 4.1/10 (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 rating-0.01−0.06

first ⅓ avg 0.05 → last ⅓ avg -0.01

Reaction time647ms−29ms

first ⅓ avg 676ms → last ⅓ avg 647ms

Headshot accuracy11.7%−2.5%

first ⅓ avg 14.2% → last ⅓ avg 11.7%

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

0.16Best rating — mirage 13–4

13–1Biggest win — palacio

5Longest win streak

L5Current streak

4–10In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	29	10–19	34%	0.02
inferno	D	14	3–11	21%	0.01
dust2	C	12	5–7	42%	0.02
ancient	D	9	3–6	33%	0.01
nuke	B	8	4–4	50%	0.03
cache	D	7	2–5	29%	0.04
anubis	A	5	3–2	60%	-0.00
vertigo	—	4	1–3	25%	0.06
palacio	—	3	2–1	67%	0.03
overpass	—	2	0–2	0%	-0.05
agency	—	2	1–1	50%	0.09
train	—	1	1–0	100%	-0.02
boulder	—	1	0–1	0%	-0.02
fachwerk	—	1	0–1	0%	-0.03
alpine	—	1	0–1	0%	0.02
warden	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,999Lifetime kills

1.77K/D · Top 5% of tracked players

7,567Matches

46.1%Match win rate · Top 50% of tracked players

62.3%Headshot % · Top 5% of tracked players

16.1%Shot accuracy · Top 25% of tracked players

10,381MVPs

1,692Hours (in match)

4,400Bombs planted

693Bombs defused

Most-used weapons

AK-4717,780

M4A4 / M4A1-S13,064

Negev10,076

AWP8,375

P2000 / USP-S7,523

Desert Eagle6,316

P905,822

AUG4,803

SG 5534,416

MAC-104,216

Lifetime map wins

4,915inferno

4,853dust2

2,944nuke

1,746vertigo

851office

712train

404cbble

208italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.7%Headshot accuracy

32.8%Accuracy (enemy spotted)

36.2%Spray accuracy

79.9%Counter-strafing

10.5°Preaim

642msReaction time

27.3%T opening success

30.7%CT opening success

0.61Enemies flashed / flash

4.1%Flash assists

11.55HE damage / grenade

6.54Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.6881% — below the 15% mark we flag
Aim Training →
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 27.2919% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.10	14%	25 Aug →
inferno	6–13	0.03	9%	24 Aug →
nuke	9–13	0.03	9%	22 Aug →
dust2	2–13	-0.01	14%	22 Aug →
mirage	9–13	-0.02	10%	22 Aug →
cache	12–12	0.05	11%	21 Aug →
dust2	13–3	-0.04	5%	21 Aug →
inferno	6–13	0.04	20%	20 Aug →
train	13–6	-0.02	8%	13 Aug →
mirage	1–13	-0.02	7%	10 Aug →
mirage	13–10	-0.02	14%	5 Aug →
inferno	9–13	-0.01	24%	5 Aug →
mirage	2–13	-0.04	17%	4 Aug →
inferno	12–12	0.04	11%	2 Aug →
inferno	12–12	-0.05	8%	1 Aug →
vertigo	10–13	-0.01	10%	26 Jul →
mirage	13–10	0.03	13%	25 Jul →
anubis	13–8	0.05	7%	23 Jul →
mirage	0–13	-0.09	6%	23 Jul →
ancient	10–13	0.01	12%	21 Jul →
mirage	13–4	-0.05	12%	20 Jul →
nuke	13–8	0.01	9%	16 Jul →
mirage	13–2	0.01	9%	16 Jul →
mirage	13–5	-0.03	18%	10 Jul →
inferno	13–6	0.07	11%	10 Jul →
boulder	9–13	-0.02	16%	9 Jul →
fachwerk	2–13	-0.03	14%	9 Jul →
vertigo	11–13	0.03	11%	1 Jul →
inferno	13–9	-0.04	7%	30 Jun →
mirage	5–13	-0.05	12%	29 Jun →
mirage	1–13	-0.05	18%	21 Jun →
mirage	5–13	-0.03	13%	15 Jun →
anubis	13–3	0.01	7%	15 Jun →
inferno	11–13	-0.06	12%	3 Jun →
ancient	13–9	-0.09	10%	3 Jun →
nuke	5–0	-0.09	18%	3 Jun →
cache	4–13	-0.01	26%	28 May →
cache	10–13	0.06	9%	22 May →
inferno	11–13	0.06	16%	22 May →
inferno	2–13	0.01	19%	21 May →
mirage	1–7	0.12	15%	21 May →
dust2	9–0	0.12	7%	21 May →
mirage	11–13	-0.02	17%	8 May →
cache	13–7	0.12	17%	8 May →
anubis	7–13	0.00	15%	8 May →
mirage	6–13	0.12	16%	4 May →
cache	6–13	0.06	16%	4 May →
mirage	8–13	0.04	12%	3 May →
nuke	6–13	0.01	24%	3 May →
cache	13–4	0.01	8%	1 May →
cache	5–13	-0.02	25%	29 Apr →
overpass	10–13	-0.05	9%	27 Apr →
nuke	13–6	0.09	27%	27 Apr →
inferno	11–13	0.03	13%	19 Apr →
inferno	2–13	-0.11	11%	18 Apr →
dust2	4–13	-0.09	21%	8 Apr →
anubis	8–13	-0.07	17%	7 Apr →
mirage	13–11	0.09	19%	7 Apr →
ancient	11–13	0.13	19%	25 Mar →
mirage	13–8	0.12	14%	25 Mar →
ancient	11–13	0.04	11%	16 Mar →
nuke	13–4	0.04	25%	16 Mar →
overpass	8–13	-0.06	17%	6 Mar →
mirage	4–13	-0.01	13%	23 Feb →
inferno	13–5	0.05	17%	17 Feb →
mirage	11–13	-0.01	17%	16 Feb →
ancient	10–13	-0.03	19%	15 Feb →
ancient	13–6	0.01	15%	10 Feb →
dust2	4–13	0.05	19%	7 Feb →
mirage	8–13	0.06	13%	7 Feb →
dust2	13–11	-0.01	21%	6 Feb →
mirage	13–4	0.16	14%	6 Feb →
nuke	5–13	0.02	14%	6 Feb →
inferno	6–13	0.06	13%	2 Feb →
dust2	12–12	0.07	19%	29 Jan →
mirage	13–7	0.11	15%	26 Jan →
dust2	13–5	0.00	11%	26 Jan →
alpine	3–13	0.02	14%	25 Jan →
warden	13–4	0.10	14%	25 Jan →
ancient	8–13	-0.03	10%	25 Jan →
palacio	1–13	-0.04	17%	21 Jan →
dust2	6–13	0.05	22%	21 Jan →
agency	13–5	0.14	13%	20 Jan →
mirage	5–13	-0.00	13%	20 Jan →
agency	4–13	0.03	13%	19 Jan →
vertigo	11–13	0.14	8%	19 Jan →
mirage	2–13	-0.01	19%	18 Jan →
mirage	6–13	0.00	16%	10 Jan →
dust2	13–4	0.07	6%	10 Jan →
palacio	4–1	0.03	7%	10 Jan →
anubis	13–4	-0.01	18%	10 Jan →
ancient	4–13	0.04	10%	7 Jan →
mirage	6–13	-0.03	12%	7 Jan →
palacio	13–1	0.11	13%	4 Jan →
dust2	11–13	0.12	23%	4 Jan →
mirage	13–11	0.15	15%	2 Jan →
vertigo	13–5	0.07	12%	2 Jan →
ancient	13–11	0.02	10%	2 Jan →
mirage	12–12	0.13	13%	30 Dec →
nuke	8–13	0.10	18%	30 Dec →