Cazpinator — CS2 Stats

76561198106202516[U:1:145936788]✓ No bans

1,317Tracked matches52%Win rate2025Tracked since

1,189Hours in CS20Hrs last 2 wks

CSDB Rating4.3 Developing

Premier CS Rating12,245Blue band · top ~43% of ranked players (population est.)

CSDB Leaderboard#15320 of 21832 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48

Positioning48

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLWLWLWLWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim4.8

Aggression5.9

Utility4.4

Positioning4.8

Opening Duels1.4

Clutch1.8

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 NiKo 81% 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

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim4.8

Positioning4.8

Utility4.4

Mechanics4.7

Opening Duels1.8

Win Impact5.6

Composite 4.3/10 (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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time596ms−46ms

first ⅓ avg 642ms → last ⅓ avg 596ms

Headshot accuracy11.4%−3.0%

first ⅓ avg 14.4% → last ⅓ avg 11.4%

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

0.18Best rating — nuke 13–0

13–0Biggest win — nuke

5Longest win streak

7–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 62% over 13infernoWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	0.02
mirage	A	17	10–7	59%	0.00
inferno	D	16	5–11	31%	0.00
anubis	B	15	8–7	53%	0.00
dust2	C	14	5–9	36%	-0.00
ancient	A	13	8–5	62%	0.01
cache	B	6	3–3	50%	-0.01
office	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,481Lifetime kills

0.79K/D

1,893Matches

35.8%Match win rate

38.7%Headshot %

0.0%Shot accuracy

2,720MVPs

846Hours (in match)

2,015Bombs planted

320Bombs defused

Most-used weapons

AK-478,943

M4A4 / M4A1-S6,118

AWP3,311

Desert Eagle1,527

P2000 / USP-S1,274

Galil AR899

Glock-18865

MP7836

FAMAS786

SSG 08660

Lifetime map wins

2,745nuke

1,855inferno

1,461dust2

852train

174vertigo

153office

46ar_shoots

26cbble

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

Faceit stats

Combat

50Matches

42%Win rate

0.70Avg K/D

60.1ADR

36%Headshot %

Clutches & streaks

29%1v1 clutch win

8%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	14	57%	0.77	9.9
Mirage	9	56%	0.73	9.8
Overpass	8	50%	0.67	10.5
Ancient	7	29%	0.58	11.0
Inferno	5	20%	0.58	9.2
Train	3	0%	0.64	11.3
Dust2	3	0%	0.83	16.0
Anubis	1	100%	1.08	27.0

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.

12.0%Headshot accuracy

33.7%Accuracy (enemy spotted)

38.0%Spray accuracy

71.2%Counter-strafing

11.6°Preaim

596msReaction time

26.9%T opening success

44.2%CT opening success

0.47Enemies flashed / flash

2.5%Flash assists

3.98HE damage / grenade

10.63Flashes / 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 11.9759% — 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 0.4676 — 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 26.9466% — 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.

31% win rate across 16 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	13–1	-0.01	5%	27 Aug →
inferno	10–13	-0.08	8%	25 Aug →
mirage	16–13	-0.01	7%	25 Aug →
inferno	7–13	-0.02	18%	25 Aug →
cache	13–5	-0.02	8%	24 Aug →
dust2	11–13	-0.01	24%	24 Aug →
ancient	13–3	0.02	15%	24 Aug →
cache	8–13	-0.01	13%	24 Aug →
ancient	13–3	0.03	5%	24 Aug →
ancient	13–10	-0.03	11%	24 Aug →
anubis	11–13	-0.03	19%	20 Aug →
inferno	13–1	0.01	7%	20 Aug →
nuke	13–8	0.03	5%	20 Aug →
anubis	6–13	-0.03	19%	18 Aug →
ancient	13–11	-0.04	6%	18 Aug →
dust2	3–13	-0.13	8%	18 Aug →
inferno	7–13	-0.01	18%	16 Aug →
mirage	9–13	0.04	18%	16 Aug →
nuke	13–10	0.01	19%	16 Aug →
cache	9–13	0.01	13%	16 Aug →
mirage	13–7	-0.01	5%	15 Aug →
dust2	9–13	0.01	8%	15 Aug →
nuke	13–10	0.05	8%	14 Aug →
mirage	6–13	-0.04	14%	13 Aug →
anubis	13–6	0.05	9%	13 Aug →
dust2	2–13	-0.10	8%	13 Aug →
anubis	15–15	0.05	10%	13 Aug →
nuke	13–10	-0.04	11%	13 Aug →
inferno	13–11	0.09	15%	13 Aug →
cache	9–13	-0.02	17%	12 Aug →
inferno	6–13	-0.02	11%	12 Aug →
nuke	13–11	-0.01	6%	12 Aug →
anubis	13–10	0.04	5%	12 Aug →
dust2	13–6	0.04	19%	12 Aug →
dust2	8–13	-0.02	8%	11 Aug →
anubis	13–7	-0.02	11%	11 Aug →
cache	13–6	0.11	19%	11 Aug →
mirage	13–7	0.05	20%	11 Aug →
inferno	13–11	0.07	11%	11 Aug →
nuke	10–13	-0.02	21%	11 Aug →
dust2	11–13	0.06	16%	11 Aug →
nuke	10–13	0.03	16%	11 Aug →
dust2	5–13	-0.04	13%	11 Aug →
inferno	6–13	-0.03	13%	11 Aug →
ancient	7–13	0.02	21%	11 Aug →
nuke	15–15	-0.02	7%	10 Aug →
ancient	13–6	0.09	12%	10 Aug →
anubis	13–3	0.03	4%	10 Aug →
mirage	13–11	0.03	7%	10 Aug →
dust2	10–13	0.07	13%	10 Aug →
mirage	13–4	-0.02	9%	10 Aug →
mirage	10–13	0.09	6%	9 Aug →
nuke	13–8	-0.04	14%	9 Aug →
mirage	10–13	-0.07	4%	9 Aug →
nuke	8–13	0.05	20%	8 Aug →
mirage	13–5	-0.08	9%	8 Aug →
anubis	3–13	-0.07	12%	8 Aug →
nuke	13–4	0.05	5%	8 Aug →
mirage	12–16	-0.06	13%	8 Aug →
inferno	11–13	0.00	10%	7 Aug →
mirage	13–7	0.09	10%	7 Aug →
inferno	5–13	-0.05	11%	7 Aug →
nuke	13–9	0.07	17%	6 Aug →
nuke	13–0	0.18	9%	6 Aug →
ancient	4–13	0.03	7%	1 Aug →
inferno	7–13	-0.01	11%	1 Aug →
anubis	13–10	0.02	16%	1 Aug →
nuke	6–13	-0.06	12%	31 Jul →
ancient	6–13	0.01	20%	31 Jul →
office	5–13	-0.04	10%	29 Jul →
dust2	13–5	0.03	21%	29 Jul →
inferno	14–16	0.06	14%	29 Jul →
inferno	15–15	0.01	17%	28 Jul →
ancient	13–8	-0.01	11%	28 Jul →
dust2	13–10	0.04	9%	27 Jul →
nuke	11–13	0.05	7%	26 Jul →
anubis	6–13	-0.07	24%	26 Jul →
inferno	13–1	0.11	17%	26 Jul →
ancient	12–16	-0.01	18%	25 Jul →
dust2	8–13	0.02	28%	25 Jul →
mirage	3–13	-0.05	11%	22 Jul →
mirage	6–13	-0.00	14%	22 Jul →
dust2	13–8	-0.01	17%	22 Jul →
cache	13–11	-0.11	15%	22 Jul →
nuke	6–13	0.02	18%	22 Jul →
mirage	13–9	0.00	10%	22 Jul →
nuke	13–6	-0.00	4%	21 Jul →
nuke	9–13	-0.03	7%	21 Jul →
ancient	15–15	-0.02	9%	21 Jul →
anubis	13–7	0.13	21%	21 Jul →
ancient	13–8	0.09	20%	21 Jul →
mirage	13–11	0.01	22%	21 Jul →
inferno	6–13	-0.03	12%	20 Jul →
anubis	8–13	-0.01	14%	20 Jul →
anubis	7–13	-0.02	14%	19 Jul →
anubis	13–3	-0.05	19%	19 Jul →
ancient	13–2	-0.06	17%	19 Jul →
inferno	13–2	-0.06	3%	19 Jul →
anubis	13–6	0.00	6%	19 Jul →
mirage	13–6	0.04	12%	17 Jul →