car0!ina — CS2 Stats

76561198217953507[U:1:257687779]

707Tracked matches67%Win rate2026Tracked since

616Hours in CS18Hrs last 2 wks

CSDB Rating5.1 Developing

Ladder ranks via Leetify

Performance scores

Aim52

Positioning39

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateWWLWLTLWWL

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

Player DNA

Aim5.2

Aggression4.7

Utility5.1

Positioning3.9

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 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 609ms 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

Aim5.2

Positioning3.9

Utility5.1

Mechanics6.3

Opening Duels0.6

Win Impact10.0

Composite 5.1/10 (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-0.03+0.00

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time609ms−23ms

first ⅓ avg 633ms → last ⅓ avg 609ms

Headshot accuracy11.6%−4.1%

first ⅓ avg 15.7% → last ⅓ avg 11.6%

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

0.05Best rating — nuke 13–3

13–1Biggest win — dust2

5Longest win streak

W2Current streak

1Overtime games

Map breakdown

infernoBest map · 60% over 5nukeWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	47	26–21	55%	-0.04
nuke	D	15	5–10	33%	-0.02
cache	B	12	6–6	50%	-0.05
mirage	D	6	2–4	33%	-0.05
inferno	A	5	3–2	60%	-0.05
vertigo	—	4	3–1	75%	-0.03
ancient	—	3	2–1	67%	-0.05
anubis	—	3	1–2	33%	-0.01
office	—	2	0–2	0%	-0.03
shelter	—	1	1–0	100%	-0.03
overpass	—	1	1–0	100%	-0.05
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,702Lifetime kills

0.77K/D

821Matches

52.1%Match win rate · Top 25% of tracked players

34.4%Headshot %

0.0%Shot accuracy

1,074MVPs

291Hours (in match)

1,048Bombs planted

157Bombs defused

Most-used weapons

M4A4 / M4A1-S2,591

AK-472,300

Galil AR1,021

AWP521

P2000 / USP-S467

FAMAS365

MP9327

Glock-18320

MP7287

Five-SeveN224

Lifetime map wins

1,582dust2

1,015nuke

945inferno

574vertigo

105office

101train

2ar_baggage

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.

12.2%Headshot accuracy

33.3%Accuracy (enemy spotted)

36.0%Spray accuracy

78.6%Counter-strafing

11.1°Preaim

609msReaction time

23.7%T opening success

34.7%CT opening success

0.65Enemies flashed / flash

6.4%Flash assists

11.43HE damage / grenade

6.20Flashes / 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 12.1925% — 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 23.7093% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–4	0.00	15%	25 Aug →
dust2	13–5	-0.04	15%	25 Aug →
cache	8–13	-0.09	11%	24 Aug →
dust2	13–8	0.03	9%	24 Aug →
office	4–13	-0.04	15%	23 Aug →
cache	12–12	-0.05	11%	23 Aug →
dust2	5–13	-0.07	11%	23 Aug →
vertigo	13–11	-0.04	13%	23 Aug →
shelter	7–1	-0.03	0%	23 Aug →
nuke	10–13	-0.05	9%	22 Aug →
dust2	13–7	-0.01	9%	22 Aug →
dust2	13–2	-0.01	7%	22 Aug →
vertigo	13–7	0.00	14%	21 Aug →
inferno	13–9	-0.06	22%	21 Aug →
dust2	8–13	-0.05	12%	21 Aug →
dust2	13–5	-0.01	19%	20 Aug →
cache	12–12	-0.04	18%	20 Aug →
ancient	13–9	-0.06	7%	20 Aug →
dust2	5–13	-0.13	9%	19 Aug →
nuke	13–7	-0.01	9%	19 Aug →
dust2	13–10	-0.02	31%	18 Aug →
cache	13–10	-0.04	10%	17 Aug →
dust2	13–11	-0.03	11%	17 Aug →
nuke	12–12	-0.04	10%	17 Aug →
mirage	1–13	-0.03	6%	17 Aug →
anubis	13–9	0.03	13%	16 Aug →
nuke	7–13	0.03	13%	16 Aug →
inferno	13–4	0.04	2%	16 Aug →
dust2	7–13	-0.07	16%	16 Aug →
dust2	13–5	-0.05	7%	15 Aug →
dust2	9–13	-0.06	5%	15 Aug →
dust2	5–13	-0.09	13%	13 Aug →
dust2	13–4	-0.05	13%	13 Aug →
nuke	7–13	-0.05	2%	13 Aug →
cache	13–8	-0.09	14%	13 Aug →
dust2	10–13	-0.04	11%	12 Aug →
dust2	6–13	-0.07	13%	11 Aug →
anubis	8–13	-0.02	21%	11 Aug →
nuke	12–12	-0.08	17%	11 Aug →
dust2	13–1	-0.01	8%	11 Aug →
vertigo	3–13	-0.05	7%	11 Aug →
dust2	8–13	-0.08	27%	11 Aug →
mirage	12–12	-0.06	8%	10 Aug →
cache	13–3	-0.02	15%	9 Aug →
dust2	13–7	-0.04	9%	9 Aug →
nuke	4–13	-0.09	14%	8 Aug →
nuke	13–3	0.05	11%	7 Aug →
dust2	5–13	-0.02	13%	7 Aug →
vertigo	13–2	-0.01	21%	7 Aug →
dust2	9–13	-0.08	22%	7 Aug →
dust2	13–5	-0.00	22%	7 Aug →
nuke	8–13	-0.03	8%	7 Aug →
dust2	13–4	-0.09	36%	6 Aug →
cache	9–13	-0.03	14%	5 Aug →
dust2	8–3	0.02	19%	5 Aug →
dust2	8–13	-0.04	30%	4 Aug →
nuke	13–9	0.01	16%	4 Aug →
mirage	6–13	-0.07	21%	4 Aug →
dust2	6–13	-0.00	7%	3 Aug →
ancient	13–5	-0.07	27%	3 Aug →
dust2	10–13	-0.10	10%	2 Aug →
dust2	13–10	-0.06	16%	2 Aug →
inferno	13–9	-0.04	15%	2 Aug →
nuke	13–7	0.04	23%	2 Aug →
dust2	3–13	-0.08	7%	1 Aug →
dust2	13–2	-0.00	7%	1 Aug →
dust2	13–10	0.02	21%	1 Aug →
dust2	13–7	0.03	21%	1 Aug →
dust2	13–11	-0.06	26%	31 Jul →
cache	13–2	-0.06	8%	31 Jul →
dust2	7–13	-0.03	15%	30 Jul →
cache	13–6	0.01	16%	30 Jul →
dust2	13–9	-0.03	24%	29 Jul →
dust2	11–1	-0.02	21%	29 Jul →
nuke	8–13	0.00	16%	28 Jul →
nuke	7–13	-0.06	21%	27 Jul →
dust2	1–13	-0.10	16%	27 Jul →
nuke	10–13	-0.03	21%	27 Jul →
anubis	6–13	-0.05	21%	26 Jul →
nuke	13–8	-0.03	16%	25 Jul →
cache	10–13	-0.08	12%	25 Jul →
dust2	7–13	-0.02	9%	25 Jul →
mirage	13–8	-0.07	8%	25 Jul →
cache	13–16	-0.04	21%	24 Jul →
dust2	7–1	-0.02	33%	24 Jul →
mirage	1–9	-0.09	0%	24 Jul →
inferno	2–13	-0.12	14%	23 Jul →
cache	13–7	-0.04	8%	22 Jul →
mirage	13–6	0.04	22%	22 Jul →
inferno	5–13	-0.09	19%	21 Jul →
dust2	8–13	-0.05	13%	21 Jul →
dust2	6–13	-0.04	14%	19 Jul →
dust2	7–13	-0.05	10%	19 Jul →
dust2	11–4	-0.02	18%	19 Jul →
dust2	13–7	-0.01	18%	19 Jul →
dust2	13–9	-0.03	12%	17 Jul →
overpass	13–7	-0.05	13%	17 Jul →
train	4–13	-0.07	8%	16 Jul →
office	3–13	-0.01	16%	13 Jul →
ancient	12–12	-0.01	9%	13 Jul →