jizz — CS2 Stats

76561198416219571[U:1:455953843]

617Tracked matches41%Win rate2021Tracked since

716Hours in CS3Hrs last 2 wks

CSDB Rating2.3 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim26

Positioning39

Utility10

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateWWWLWLLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim2.6

Aggression5.3

Utility1.0

Positioning3.9

Opening Duels1.1

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 69% 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

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.6

Positioning3.9

Utility1.0

Mechanics2.0

Opening Duels1.1

Win Impact1.9

Composite 2.3/10 (Learning), 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-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time653ms−38ms

first ⅓ avg 691ms → last ⅓ avg 653ms

Headshot accuracy12.2%+1.8%

first ⅓ avg 10.5% → last ⅓ avg 12.2%

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

0.10Best rating — dust2 13–7

13–1Biggest win — inferno

8Longest win streak

W3Current streak

6–8In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 56% over 18cacheWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	9–15	38%	-0.04
nuke	C	20	8–12	40%	-0.03
mirage	A	18	10–8	56%	-0.03
inferno	B	16	8–8	50%	-0.04
cache	D	12	3–9	25%	-0.06
fachwerk	—	2	2–0	100%	-0.02
office	—	2	0–2	0%	-0.02
ancient	—	2	1–1	50%	-0.05
vertigo	—	2	1–1	50%	-0.05
overpass	—	1	0–1	0%	-0.03
alpine	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

15,001Lifetime kills

0.71K/D

1,404Matches

40.5%Match win rate

30.6%Headshot %

17.4%Shot accuracy · Top 25% of tracked players

1,247MVPs

409Hours (in match)

1,320Bombs planted

133Bombs defused

Most-used weapons

AWP2,588

M4A4 / M4A1-S2,527

AK-472,152

SSG 081,035

P2000 / USP-S890

Glock-18736

Galil AR710

SG 553582

FAMAS460

Desert Eagle401

Lifetime map wins

2,599dust2

1,849inferno

1,530nuke

176vertigo

63train

51office

33lake

24safehouse

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.

11.8%Headshot accuracy

29.9%Accuracy (enemy spotted)

33.0%Spray accuracy

59.1%Counter-strafing

11.0°Preaim

645msReaction time

31.0%T opening success

38.0%CT opening success

0.21Enemies flashed / flash

3.2%Flash assists

5.86HE damage / grenade

1.61Flashes / 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 11.8259% — below the 15% mark we flag
Aim Training →
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 0.2136 — 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 31.0139% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
fachwerk	13–6	-0.04	8%	26 Aug →
fachwerk	13–8	-0.01	7%	22 Aug →
dust2	13–7	0.10	14%	19 Aug →
mirage	11–13	-0.06	2%	19 Aug →
dust2	13–8	-0.03	4%	19 Aug →
inferno	6–13	-0.02	6%	8 Aug →
cache	3–13	-0.04	0%	8 Aug →
dust2	13–9	-0.04	3%	8 Aug →
mirage	3–4	-0.02	17%	25 Jul →
nuke	6–13	-0.04	13%	25 Jul →
dust2	4–13	-0.02	28%	20 Jul →
nuke	6–13	-0.06	4%	17 Jul →
mirage	13–4	-0.02	18%	17 Jul →
nuke	12–12	-0.06	13%	12 Jul →
office	6–13	-0.04	4%	12 Jul →
inferno	9–13	-0.06	33%	12 Jul →
inferno	12–12	-0.06	17%	27 Jun →
inferno	13–9	-0.02	14%	20 Jun →
mirage	11–13	-0.05	9%	20 Jun →
nuke	13–8	-0.08	8%	20 Jun →
inferno	13–9	-0.03	9%	18 Jun →
inferno	10–13	-0.05	8%	13 Jun →
nuke	10–13	-0.02	14%	13 Jun →
dust2	6–13	-0.10	17%	6 Jun →
nuke	13–5	0.03	5%	12 May →
nuke	3–13	-0.01	9%	12 May →
cache	8–13	-0.05	14%	10 May →
nuke	4–13	-0.04	37%	7 May →
dust2	12–12	-0.03	19%	6 May →
nuke	13–8	-0.04	8%	5 May →
dust2	13–11	0.04	26%	5 May →
cache	3–13	-0.11	7%	5 May →
nuke	8–13	-0.03	10%	4 May →
dust2	10–13	-0.02	19%	4 May →
nuke	3–13	-0.09	9%	2 May →
cache	2–8	-0.00	0%	1 May →
cache	13–2	-0.01	4%	1 May →
cache	1–13	-0.15	0%	29 Apr →
dust2	3–13	-0.09	22%	29 Apr →
nuke	13–11	-0.05	6%	29 Apr →
inferno	5–13	-0.06	13%	29 Apr →
dust2	13–7	-0.05	22%	29 Apr →
cache	5–13	-0.07	18%	29 Apr →
cache	5–13	-0.10	11%	29 Apr →
cache	13–11	0.02	7%	29 Apr →
cache	3–13	-0.04	7%	29 Apr →
cache	8–13	-0.05	7%	28 Apr →
cache	13–6	-0.10	5%	28 Apr →
dust2	13–5	-0.04	14%	25 Apr →
mirage	1–13	-0.04	8%	25 Apr →
nuke	9–13	0.04	10%	25 Apr →
ancient	7–13	-0.06	4%	25 Apr →
mirage	11–13	-0.03	7%	18 Apr →
inferno	13–6	-0.05	15%	18 Apr →
nuke	13–4	-0.07	33%	15 Apr →
vertigo	13–8	-0.05	12%	14 Apr →
inferno	13–7	-0.01	14%	14 Apr →
mirage	13–11	-0.01	0%	7 Apr →
ancient	13–10	-0.03	8%	7 Apr →
dust2	13–7	-0.05	13%	5 Apr →
mirage	13–5	0.01	12%	5 Apr →
inferno	12–12	-0.04	8%	5 Apr →
inferno	2–13	-0.15	17%	4 Apr →
office	7–7	-0.01	17%	3 Apr →
inferno	13–2	-0.03	6%	3 Apr →
mirage	13–10	-0.02	10%	2 Apr →
mirage	13–4	-0.02	11%	2 Apr →
dust2	9–13	0.01	11%	1 Apr →
dust2	7–13	-0.07	13%	1 Apr →
nuke	11–13	-0.05	12%	30 Mar →
mirage	13–7	-0.06	23%	29 Mar →
mirage	13–11	-0.01	11%	29 Mar →
dust2	13–8	-0.02	3%	25 Mar →
mirage	5–13	-0.07	4%	25 Mar →
dust2	5–13	-0.02	10%	25 Mar →
dust2	9–13	-0.08	10%	22 Mar →
inferno	13–7	-0.07	6%	22 Mar →
vertigo	10–13	-0.04	8%	14 Mar →
inferno	13–1	0.04	14%	14 Mar →
nuke	13–11	0.03	6%	13 Mar →
nuke	7–13	-0.07	6%	12 Mar →
dust2	4–13	-0.05	19%	12 Mar →
inferno	9–13	-0.07	5%	12 Mar →
mirage	2–13	-0.09	11%	12 Mar →
dust2	2–13	-0.12	13%	12 Mar →
dust2	2–13	-0.05	18%	4 Mar →
overpass	8–13	-0.03	9%	24 Feb →
nuke	5–13	-0.06	0%	13 Feb →
nuke	13–3	-0.01	0%	10 Feb →
dust2	12–12	-0.02	12%	10 Feb →
inferno	13–5	-0.04	29%	9 Feb →
mirage	13–6	0.02	32%	9 Feb →
dust2	13–9	-0.06	17%	9 Feb →
mirage	13–2	-0.04	0%	9 Feb →
mirage	13–8	-0.07	5%	8 Feb →
dust2	9–13	-0.08	14%	8 Feb →
alpine	11–13	-0.08	0%	23 Jan →
mirage	12–12	-0.02	7%	23 Jan →
dust2	11–13	-0.02	11%	12 Jan →
nuke	13–9	0.02	8%	12 Jan →