s1ap3 — CS2 Stats

76561199224022765[U:1:1263757037]✓ No bans

489Tracked matches48%Win rate2021Tracked since

239Hours in CS

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating12,623Blue band · top ~41% of ranked players (population est.)

CSDB Leaderboard#14131 of 20309 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning48

Utility47

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLLLWLWLLLW

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

Player DNA

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

Aim6.2

Aggression5.4

Utility4.7

Positioning4.8

Opening Duels1.8

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 86% 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

Reaction time. 606ms 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

Aim6.2

Positioning4.8

Utility4.7

Mechanics7.4

Opening Duels1.8

Win Impact4.4

Composite 5.0/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time608ms−10ms

first ⅓ avg 619ms → last ⅓ avg 608ms

Headshot accuracy15.2%−3.9%

first ⅓ avg 19.0% → last ⅓ avg 15.2%

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

0.21Best rating — vertigo 13–1

13–0Biggest win — mirage

4Longest win streak

L3Current streak

5–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 67% over 6anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	33	14–19	42%	-0.01
dust2	B	20	10–10	50%	0.00
inferno	C	15	6–9	40%	-0.01
overpass	C	10	4–6	40%	0.03
anubis	D	6	1–5	17%	-0.01
nuke	S	6	4–2	67%	0.03
ancient	B	6	3–3	50%	-0.00
vertigo	—	2	1–1	50%	0.07
train	—	1	1–0	100%	0.06
thera	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,791Lifetime kills

1.00K/D

625Matches

43.7%Match win rate

56.2%Headshot % · Top 25% of tracked players

16.7%Shot accuracy · Top 25% of tracked players

1,351MVPs

239Hours (in match)

251Bombs planted

162Bombs defused

Most-used weapons

AK-475,855

M4A4 / M4A1-S2,560

P2000 / USP-S1,398

SSG 081,104

Desert Eagle1,037

AWP1,004

Glock-18468

Galil AR454

FAMAS268

P250174

Lifetime map wins

937dust2

633inferno

324nuke

166vertigo

41train

26office

22cbble

9lake

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.

14.6%Headshot accuracy

35.5%Accuracy (enemy spotted)

33.2%Spray accuracy

83.1%Counter-strafing

10.6°Preaim

606msReaction time

34.8%T opening success

39.9%CT opening success

0.51Enemies flashed / flash

7.3%Flash assists

5.51HE damage / grenade

5.23Flashes / 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 14.5567% — 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 34.8103% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–9	-0.10	24%	15 Jun →
inferno	4–9	-0.06	10%	15 Jun →
anubis	4–13	-0.08	12%	14 Jun →
mirage	13–2	-0.01	11%	14 Jun →
inferno	13–16	0.00	3%	6 Jun →
dust2	13–3	0.17	18%	6 Jun →
overpass	6–13	0.07	23%	6 Jun →
mirage	5–13	-0.02	15%	3 Jun →
mirage	7–13	0.02	14%	3 Jun →
inferno	13–7	0.05	9%	3 Jun →
nuke	13–8	0.02	13%	3 Jun →
dust2	6–13	0.02	15%	3 Jun →
mirage	10–13	-0.02	20%	2 Jun →
ancient	14–16	-0.03	13%	2 Jun →
mirage	13–4	0.08	20%	2 Jun →
mirage	13–11	0.03	13%	29 May →
anubis	9–13	0.01	11%	29 May →
dust2	16–13	0.07	24%	28 May →
inferno	13–9	-0.07	13%	28 May →
mirage	9–13	-0.09	15%	25 May →
dust2	13–10	-0.02	12%	25 May →
dust2	10–13	-0.02	19%	25 May →
ancient	5–13	-0.05	11%	25 May →
ancient	13–5	0.02	17%	25 May →
mirage	10–13	-0.05	14%	25 May →
mirage	13–8	0.09	15%	24 May →
mirage	13–3	0.00	10%	24 May →
dust2	15–15	-0.07	12%	24 May →
ancient	11–13	-0.04	19%	23 May →
nuke	13–9	0.06	15%	23 May →
overpass	0–6	0.04	26%	23 May →
dust2	13–6	-0.01	14%	23 May →
overpass	6–13	0.01	20%	23 May →
inferno	11–13	0.07	15%	23 May →
dust2	13–11	-0.00	9%	23 May →
overpass	10–13	0.01	14%	22 May →
mirage	13–0	0.06	17%	22 May →
overpass	13–2	0.08	16%	22 May →
dust2	15–15	0.04	26%	21 May →
mirage	13–8	0.06	16%	21 May →
inferno	8–13	-0.00	21%	21 May →
anubis	6–13	-0.01	10%	14 May →
mirage	15–15	-0.02	14%	14 May →
overpass	13–3	0.05	17%	14 May →
inferno	7–13	-0.02	19%	12 May →
mirage	10–13	-0.06	15%	12 May →
mirage	3–13	-0.06	18%	4 May →
dust2	8–13	-0.06	20%	4 May →
overpass	16–13	0.02	15%	30 Apr →
inferno	13–8	0.06	20%	30 Apr →
dust2	13–6	0.03	17%	30 Apr →
mirage	10–13	-0.03	11%	30 Apr →
nuke	13–16	0.01	9%	30 Apr →
dust2	13–5	-0.05	14%	30 Apr →
inferno	13–7	-0.03	14%	28 Apr →
mirage	13–3	0.06	33%	28 Apr →
inferno	16–14	-0.04	21%	28 Apr →
dust2	13–16	-0.07	16%	27 Apr →
mirage	13–16	0.03	22%	27 Apr →
dust2	13–10	-0.05	21%	27 Apr →
dust2	8–13	-0.05	18%	27 Apr →
mirage	13–11	-0.02	11%	27 Apr →
nuke	13–1	0.07	17%	27 Apr →
mirage	7–13	-0.08	5%	27 Apr →
mirage	12–5	-0.01	13%	9 Sept →
mirage	2–13	-0.03	15%	9 Sept →
nuke	11–13	-0.01	16%	8 Sept →
dust2	6–13	-0.01	26%	8 Sept →
train	13–6	0.06	14%	27 Nov →
mirage	12–12	-0.05	16%	31 Oct →
mirage	11–13	-0.02	8%	31 Oct →
inferno	12–12	0.02	10%	26 Oct →
ancient	13–2	0.06	14%	26 Oct →
anubis	3–13	0.00	11%	26 Oct →
dust2	10–13	0.01	35%	20 Aug →
thera	13–7	0.02	14%	20 Aug →
mirage	13–10	-0.01	21%	19 Aug →
inferno	5–13	-0.07	18%	24 Jun →
vertigo	8–13	-0.06	22%	19 Jun →
dust2	16–14	0.03	11%	19 Jun →
inferno	13–2	-0.02	18%	18 Jun →
vertigo	13–1	0.21	27%	18 Jun →
overpass	13–8	0.09	22%	6 Jun →
dust2	7–13	-0.00	24%	6 Jun →
ancient	13–6	0.04	20%	3 Jun →
mirage	2–9	-0.06	11%	24 Apr →
mirage	8–13	-0.08	15%	30 Mar →
anubis	8–13	0.01	19%	30 Mar →
overpass	10–13	-0.06	30%	30 Mar →
mirage	13–9	0.03	29%	24 Mar →
mirage	8–13	-0.01	22%	24 Mar →
mirage	13–6	-0.01	14%	20 Mar →
dust2	13–8	0.10	29%	20 Mar →
mirage	4–4	0.04	22%	19 Mar →
mirage	8–4	0.03	31%	16 Mar →
overpass	10–13	-0.01	20%	16 Mar →
anubis	13–8	0.03	13%	9 Mar →
mirage	12–12	-0.00	14%	9 Mar →
inferno	5–13	0.05	15%	7 Mar →
nuke	13–7	0.02	13%	4 Mar →