careful — CS2 Stats

76561198298993654[U:1:338727926]

364Tracked matches37%Win rate2020Tracked since

412Hours in CS

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim35

Positioning39

Utility50

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLTLWWWLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Aim3.5

Aggression4.2

Utility5.0

Positioning3.9

Opening Duels0.5

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 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. 670ms 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

Aim3.5

Positioning3.9

Utility5.0

Mechanics4.8

Opening Duels0.5

Win Impact0.7

Composite 3.4/10 (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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time670ms+41ms

first ⅓ avg 630ms → last ⅓ avg 670ms

Headshot accuracy13.1%−0.7%

first ⅓ avg 13.8% → last ⅓ avg 13.1%

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

0.17Best rating — nuke 13–3

13–1Biggest win — dust2

7Longest win streak

L3Current streak

7–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 65% over 23ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	13–14	48%	0.01
nuke	S	23	15–8	65%	0.00
dust2	C	17	7–10	41%	-0.01
inferno	B	13	6–7	46%	-0.01
ancient	D	11	3–8	27%	-0.01
overpass	—	4	1–3	25%	-0.07
cache	—	2	0–2	0%	-0.01
train	—	2	1–1	50%	-0.03
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,406Lifetime kills

0.94K/D

873Matches

57.8%Match win rate · Top 5% of tracked players

36.3%Headshot %

6.7%Shot accuracy

1,725MVPs

412Hours (in match)

1,060Bombs planted

285Bombs defused

Most-used weapons

AK-473,627

AWP2,903

M4A4 / M4A1-S1,689

P2000 / USP-S831

Glock-18657

Desert Eagle568

P250564

MP9457

Tec-9346

Negev338

Lifetime map wins

2,045dust2

1,301nuke

1,092inferno

365train

106vertigo

66cbble

23office

8italy

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.

12.6%Headshot accuracy

35.1%Accuracy (enemy spotted)

34.6%Spray accuracy

71.6%Counter-strafing

13.4°Preaim

670msReaction time

32.4%T opening success

31.8%CT opening success

0.63Enemies flashed / flash

6.8%Flash assists

8.32HE damage / grenade

7.31Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.4377° — above the 12° mark we flag
Aim Training →
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 12.6078% — below the 15% mark we flag
Aim Training →

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.01	13%	1 Aug →
vertigo	8–13	0.01	21%	1 Aug →
cache	6–13	-0.03	5%	3 May →
cache	12–12	0.02	19%	29 Apr →
ancient	10–13	-0.04	17%	11 Apr →
nuke	13–9	-0.01	19%	11 Apr →
dust2	13–10	0.03	17%	28 Mar →
nuke	16–13	0.01	5%	28 Mar →
dust2	11–13	0.02	10%	28 Mar →
ancient	2–13	-0.04	16%	27 Mar →
mirage	3–13	-0.08	8%	27 Mar →
nuke	13–11	-0.04	26%	17 Jan →
nuke	15–15	-0.02	8%	10 Jan →
dust2	8–13	-0.02	22%	8 Jan →
inferno	2–11	-0.04	13%	5 Jan →
overpass	9–13	-0.09	12%	5 Jan →
inferno	13–7	-0.02	18%	5 Jan →
ancient	11–13	0.11	13%	4 Jan →
train	13–11	-0.04	6%	4 Jan →
mirage	13–9	0.01	0%	4 Jan →
inferno	16–13	0.04	16%	2 Jan →
overpass	5–13	-0.05	10%	2 Jan →
inferno	3–13	-0.06	24%	2 Jan →
ancient	11–13	-0.02	5%	1 Jan →
nuke	13–3	0.17	4%	31 Dec →
ancient	15–15	-0.04	13%	30 Dec →
overpass	7–13	-0.07	8%	30 Dec →
dust2	4–13	-0.03	9%	30 Dec →
overpass	13–9	-0.06	19%	30 Dec →
mirage	10–13	0.10	7%	30 Dec →
mirage	5–13	-0.06	25%	30 Dec →
ancient	15–15	-0.03	13%	29 Dec →
nuke	13–10	-0.01	14%	29 Dec →
nuke	8–13	-0.06	11%	29 Dec →
ancient	7–13	-0.09	16%	28 Dec →
inferno	4–13	-0.02	14%	28 Dec →
nuke	13–10	-0.03	21%	28 Dec →
ancient	16–14	0.03	21%	28 Dec →
dust2	5–13	-0.03	16%	28 Dec →
nuke	13–5	0.02	18%	28 Dec →
nuke	13–10	0.10	13%	28 Dec →
mirage	13–4	-0.03	17%	28 Dec →
dust2	13–1	0.08	32%	28 Dec →
dust2	13–8	-0.04	12%	28 Dec →
mirage	13–1	0.00	50%	28 Dec →
nuke	13–8	0.06	18%	26 Dec →
mirage	6–13	-0.02	0%	26 Dec →
mirage	13–6	0.11	11%	26 Dec →
mirage	8–13	-0.08	14%	26 Dec →
ancient	13–7	0.04	7%	25 Dec →
dust2	5–13	0.02	11%	25 Dec →
nuke	13–5	0.06	4%	25 Dec →
nuke	8–13	-0.02	15%	24 Dec →
dust2	8–13	0.00	16%	24 Dec →
nuke	9–13	-0.04	11%	24 Dec →
mirage	13–11	0.01	18%	24 Dec →
dust2	13–16	0.04	21%	24 Dec →
mirage	13–10	0.01	6%	23 Dec →
ancient	11–13	-0.03	12%	23 Dec →
mirage	15–15	-0.01	16%	23 Dec →
inferno	14–16	0.03	5%	22 Dec →
nuke	3–13	-0.05	22%	22 Dec →
mirage	13–7	-0.03	11%	22 Dec →
dust2	13–6	-0.02	21%	22 Dec →
dust2	13–10	-0.01	14%	22 Dec →
nuke	4–9	-0.03	12%	22 Dec →
mirage	13–11	0.10	15%	21 Dec →
dust2	14–16	-0.06	13%	21 Dec →
inferno	16–13	0.01	18%	21 Dec →
mirage	10–13	0.03	9%	21 Dec →
inferno	1–13	-0.00	18%	21 Dec →
train	8–13	-0.03	12%	21 Dec →
mirage	8–13	-0.05	19%	20 Dec →
mirage	13–6	-0.01	7%	20 Dec →
nuke	8–13	-0.01	18%	20 Dec →
mirage	7–13	-0.02	15%	20 Dec →
dust2	13–7	-0.00	16%	20 Dec →
inferno	13–6	0.03	14%	20 Dec →
mirage	5–13	0.01	19%	20 Dec →
mirage	13–8	0.13	16%	20 Dec →
nuke	13–8	0.01	7%	20 Dec →
inferno	10–13	0.02	10%	19 Dec →
dust2	13–7	-0.04	19%	19 Dec →
mirage	4–13	0.04	15%	18 Dec →
dust2	11–13	-0.07	10%	18 Dec →
inferno	13–9	-0.07	16%	18 Dec →
mirage	3–13	-0.07	4%	18 Dec →
ancient	13–3	0.03	15%	18 Dec →
nuke	13–9	-0.01	12%	18 Dec →
mirage	5–13	-0.01	14%	18 Dec →
nuke	13–11	-0.03	15%	17 Dec →
dust2	10–13	-0.00	14%	17 Dec →
mirage	13–10	-0.02	13%	17 Dec →
nuke	13–9	0.02	16%	17 Dec →
inferno	15–15	-0.00	14%	17 Dec →
nuke	13–6	-0.05	15%	17 Dec →
mirage	4–13	0.03	13%	17 Dec →
mirage	13–11	0.03	6%	17 Dec →
mirage	16–13	0.09	18%	17 Dec →
inferno	11–5	-0.03	15%	16 Dec →