21 — CS2 Stats

76561199035471541[U:1:1075205813]✓ No bans

521Tracked matches53%Win rate2020Tracked since

546Hours in CS

CSDB Rating5.8 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim75

Positioning49

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLLWLWLLWWL

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.5

Aggression5.5

Utility6.3

Positioning4.9

Opening Duels0.6

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 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 588ms 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

Aim7.5

Positioning4.9

Utility6.3

Mechanics6.6

Opening Duels0.6

Win Impact6.1

Composite 5.8/10 (Solid), 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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time590ms−46ms

first ⅓ avg 635ms → last ⅓ avg 590ms

Headshot accuracy20.8%−1.6%

first ⅓ avg 22.4% → last ⅓ avg 20.8%

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

0.15Best rating — dust2 13–3

13–1Biggest win — dust2

7Longest win streak

L2Current streak

6–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	58	37–21	64%	0.01
inferno	C	22	9–13	41%	0.02
ancient	S	10	7–3	70%	0.02
nuke	—	4	3–1	75%	-0.00
overpass	—	3	1–2	33%	0.04
mirage	—	2	0–2	0%	0.01
anubis	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,585Lifetime kills

1.08K/D · Top 50% of tracked players

1,153Matches

62.6%Match win rate · Top 5% of tracked players

48.9%Headshot % · Top 50% of tracked players

15.9%Shot accuracy · Top 25% of tracked players

2,990MVPs

546Hours (in match)

1,662Bombs planted

472Bombs defused

Most-used weapons

AK-477,400

M4A4 / M4A1-S4,321

Desert Eagle2,252

AWP1,986

P2000 / USP-S1,672

SSG 081,391

Glock-181,104

MAC-10891

Galil AR593

FAMAS544

Lifetime map wins

12,712dust2

945inferno

97vertigo

80nuke

22train

1ar_shoots

1ar_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.

20.2%Headshot accuracy

34.6%Accuracy (enemy spotted)

39.7%Spray accuracy

79.8%Counter-strafing

9.5°Preaim

588msReaction time

33.8%T opening success

30.7%CT opening success

0.60Enemies flashed / flash

6.4%Flash assists

8.10HE damage / grenade

11.70Flashes / 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
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 33.8063% — 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.

41% win rate across 22 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	2–13	-0.02	25%	27 Jun →
inferno	3–13	0.01	24%	26 Jun →
dust2	13–6	0.02	25%	15 Jun →
dust2	1–13	-0.01	59%	15 Jun →
inferno	13–11	0.02	11%	15 Jun →
dust2	0–4	-0.06	33%	31 May →
mirage	4–13	-0.07	29%	31 May →
dust2	13–6	-0.07	43%	26 Apr →
dust2	13–10	-0.03	24%	26 Apr →
inferno	8–13	-0.01	13%	26 Apr →
inferno	13–4	0.02	16%	26 Apr →
dust2	13–9	0.07	18%	26 Apr →
ancient	13–11	-0.01	23%	25 Apr →
overpass	13–9	0.09	26%	25 Apr →
inferno	13–11	0.01	17%	25 Apr →
dust2	13–8	0.07	20%	25 Apr →
inferno	8–13	0.08	20%	25 Apr →
inferno	8–13	-0.00	12%	25 Apr →
inferno	1–13	-0.05	17%	21 Apr →
inferno	13–7	0.01	25%	21 Apr →
ancient	16–14	0.01	8%	21 Apr →
dust2	11–5	0.05	21%	21 Apr →
dust2	7–13	-0.02	18%	21 Apr →
dust2	6–13	-0.11	15%	20 Apr →
ancient	13–8	0.04	15%	13 Apr →
dust2	3–10	0.02	17%	13 Apr →
dust2	13–8	0.03	16%	13 Apr →
dust2	8–13	0.02	20%	13 Apr →
dust2	13–7	-0.00	17%	7 Apr →
inferno	10–13	0.01	14%	7 Apr →
dust2	13–9	0.01	15%	7 Apr →
dust2	13–11	0.01	20%	6 Apr →
dust2	16–13	-0.02	13%	6 Apr →
overpass	11–13	0.06	27%	6 Apr →
inferno	13–6	0.11	23%	5 Apr →
ancient	13–6	0.08	19%	5 Apr →
inferno	13–16	-0.02	20%	5 Apr →
inferno	13–7	0.03	12%	5 Apr →
dust2	13–7	0.01	18%	5 Apr →
ancient	9–13	-0.00	9%	5 Apr →
dust2	16–13	0.00	15%	5 Apr →
dust2	9–13	0.01	21%	1 Apr →
dust2	13–10	0.02	33%	24 Mar →
dust2	13–9	0.03	15%	24 Mar →
inferno	16–12	0.07	20%	21 Mar →
dust2	8–3	0.03	18%	4 Mar →
dust2	12–12	0.04	13%	2 Mar →
dust2	13–10	0.01	20%	2 Mar →
inferno	11–13	0.01	22%	27 Feb →
inferno	7–13	0.02	11%	27 Feb →
dust2	12–16	0.08	31%	26 Feb →
dust2	7–13	-0.01	23%	26 Feb →
dust2	13–1	0.03	29%	26 Feb →
dust2	13–4	0.06	20%	24 Feb →
inferno	4–13	0.01	23%	24 Feb →
nuke	13–3	0.11	23%	24 Feb →
ancient	13–9	0.08	10%	24 Feb →
dust2	13–7	0.00	16%	24 Feb →
inferno	13–16	0.01	27%	23 Feb →
inferno	9–13	-0.00	40%	23 Feb →
ancient	13–5	0.01	18%	19 Feb →
dust2	13–5	0.05	14%	19 Feb →
anubis	0–8	-0.05	15%	17 Feb →
dust2	13–5	0.12	26%	16 Feb →
dust2	15–15	0.00	15%	14 Feb →
dust2	13–5	0.03	19%	3 Feb →
ancient	8–13	0.02	25%	1 Feb →
inferno	8–13	0.02	14%	1 Feb →
dust2	8–13	0.03	30%	24 Jan →
dust2	13–11	0.01	29%	13 Jan →
dust2	2–13	-0.03	24%	26 Oct →
dust2	0–13	-0.05	26%	26 Oct →
ancient	3–13	0.05	31%	26 Oct →
mirage	3–9	0.10	19%	30 Sept →
overpass	6–13	-0.03	16%	30 Sept →
dust2	14–16	-0.04	17%	27 Sept →
ancient	13–10	-0.05	10%	18 Sept →
nuke	0–2	-0.17	0%	23 Aug →
nuke	13–5	-0.01	18%	23 Aug →
nuke	13–4	0.06	24%	22 Aug →
inferno	13–8	0.02	23%	16 Aug →
inferno	13–3	-0.02	33%	21 Jul →
dust2	13–6	-0.01	24%	20 Jul →
dust2	9–4	-0.02	26%	9 Jul →
dust2	13–1	-0.01	27%	9 Jul →
dust2	10–13	-0.05	15%	20 Jun →
dust2	13–8	0.01	24%	4 Jun →
dust2	13–2	0.06	26%	4 Jun →
dust2	13–4	0.02	19%	4 Jun →
dust2	13–4	0.05	31%	31 May →
dust2	13–9	0.04	35%	31 May →
dust2	13–6	-0.05	20%	29 May →
dust2	6–13	-0.03	41%	29 May →
dust2	13–6	0.01	10%	26 May →
dust2	8–13	-0.04	30%	26 May →
dust2	13–10	0.06	15%	26 May →
dust2	13–7	-0.02	25%	26 May →
dust2	11–13	0.00	19%	10 Apr →
dust2	13–3	0.15	24%	10 Apr →
dust2	3–13	-0.09	16%	20 Feb →