(ง'̀-'́)ง — CS2 Stats

76561198813553834[U:1:853288106]

1,021Tracked matches52%Win rate2020Tracked since

CSDB Rating4.7 DevelopingHybrid Rifler

Premier CS Rating19,112Purple band · top ~12% of ranked players (population est.)

CSDB Leaderboard#21966 of 50292 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning40

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY36–55–9Last 10036%Win rateLLWLWWWWTL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim6.4

Aggression5.2

Utility2.4

Positioning4.0

Opening Duels0.9

Strong CT-side openerLimited utility dependence

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, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.4

Positioning4.0

Utility2.4

Mechanics6.1

Opening Duels1.4

Win Impact5.6

Composite 4.7/10 (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-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time593ms−29ms

first ⅓ avg 623ms → last ⅓ avg 593ms

Headshot accuracy19.7%−1.4%

first ⅓ avg 21.1% → last ⅓ avg 19.7%

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

0.16Best rating — inferno 13–4

13–0Biggest win — dust2

8Longest win streak

L2Current streak

4–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 71% over 7anubisWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	18	9–9	50%	0.01
cache	C	15	6–9	40%	-0.03
anubis	D	11	1–10	9%	-0.05
nuke	C	10	4–6	40%	-0.04
ancient	B	10	5–5	50%	-0.02
vertigo	D	9	2–7	22%	-0.01
mirage	D	8	1–7	13%	-0.01
inferno	S	7	5–2	71%	0.01
train	—	4	2–2	50%	-0.01
office	—	2	0–2	0%	-0.08
alpine	—	2	1–1	50%	0.02
overpass	—	2	0–2	0%	0.01
fachwerk	—	1	0–1	0%	-0.01
italy	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.6%Headshot accuracy

31.7%Accuracy (enemy spotted)

37.9%Spray accuracy

77.6%Counter-strafing

9.5°Preaim

609msReaction time

25.5%T opening success

41.5%CT opening success

0.42Enemies flashed / flash

1.0%Flash assists

5.02HE damage / grenade

3.56Flashes / 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.

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 0.4209 — 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 25.5269% — 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.

9% win rate across 11 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
anubis	4–13	-0.04	12%	28 Aug →
inferno	2–13	-0.04	22%	28 Aug →
nuke	13–9	-0.07	12%	23 Aug →
nuke	4–13	0.00	15%	22 Aug →
vertigo	13–7	0.10	19%	22 Aug →
train	13–5	0.09	27%	21 Aug →
cache	13–10	-0.03	19%	21 Aug →
cache	13–11	0.00	25%	15 Aug →
vertigo	12–12	-0.03	27%	15 Aug →
cache	1–13	-0.09	0%	14 Aug →
mirage	13–9	-0.01	24%	14 Aug →
train	6–13	-0.07	13%	10 Aug →
mirage	11–13	-0.01	26%	10 Aug →
dust2	14–16	-0.03	23%	31 Jul →
cache	5–13	-0.07	12%	31 Jul →
nuke	11–13	-0.09	30%	31 Jul →
ancient	7–13	-0.04	10%	27 Jul →
ancient	9–13	-0.00	25%	27 Jul →
anubis	8–13	-0.05	19%	26 Jul →
dust2	13–5	-0.03	19%	26 Jul →
anubis	13–10	-0.08	5%	25 Jul →
cache	13–7	-0.08	13%	25 Jul →
ancient	13–3	0.01	26%	25 Jul →
dust2	13–10	0.01	24%	25 Jul →
inferno	16–12	-0.06	16%	24 Jul →
dust2	13–3	0.03	27%	24 Jul →
ancient	16–14	0.02	13%	24 Jul →
dust2	6–13	-0.07	9%	22 Jul →
nuke	2–13	-0.00	20%	19 Jul →
ancient	16–14	0.03	15%	19 Jul →
dust2	13–5	0.06	24%	19 Jul →
cache	13–9	0.04	27%	18 Jul →
dust2	13–0	0.08	50%	18 Jul →
cache	6–13	-0.10	27%	18 Jul →
fachwerk	7–13	-0.01	13%	17 Jul →
office	0–13	-0.07	14%	17 Jul →
ancient	11–13	-0.07	20%	17 Jul →
nuke	13–4	-0.08	8%	17 Jul →
nuke	13–16	-0.06	19%	16 Jul →
dust2	4–13	-0.01	10%	15 Jul →
ancient	13–11	-0.00	22%	15 Jul →
nuke	13–4	-0.08	13%	15 Jul →
dust2	3–13	-0.04	24%	13 Jul →
inferno	13–7	-0.05	2%	13 Jul →
italy	12–12	-0.02	15%	13 Jul →
dust2	13–6	0.03	17%	12 Jul →
ancient	13–10	0.02	10%	12 Jul →
inferno	13–2	0.02	13%	12 Jul →
cache	15–15	-0.07	13%	11 Jul →
cache	13–7	-0.01	14%	11 Jul →
dust2	6–13	-0.08	18%	11 Jul →
dust2	15–15	0.02	26%	10 Jul →
nuke	12–12	0.04	26%	7 Jul →
vertigo	13–5	0.03	14%	7 Jul →
mirage	7–13	-0.00	17%	6 Jul →
dust2	13–7	0.03	15%	6 Jul →
nuke	13–9	0.02	18%	28 Jun →
train	8–13	0.00	15%	28 Jun →
mirage	12–12	0.04	14%	28 Jun →
mirage	10–13	-0.02	11%	28 Jun →
train	13–5	-0.07	13%	27 Jun →
cache	9–13	0.02	22%	26 Jun →
cache	12–12	-0.04	23%	26 Jun →
alpine	8–13	0.00	16%	24 Jun →
mirage	11–13	-0.02	29%	24 Jun →
cache	3–13	-0.07	20%	21 Jun →
overpass	11–13	-0.01	21%	13 Jun →
vertigo	6–13	0.00	20%	13 Jun →
cache	2–13	0.01	16%	12 Jun →
cache	13–2	0.04	17%	12 Jun →
ancient	2–13	-0.03	32%	11 Jun →
inferno	13–9	0.03	17%	11 Jun →
dust2	13–5	0.02	23%	11 Jun →
inferno	13–4	0.16	19%	11 Jun →
vertigo	10–13	-0.04	13%	6 Jun →
vertigo	5–13	0.01	21%	6 Jun →
vertigo	8–8	-0.01	10%	6 Jun →
nuke	2–9	-0.12	14%	5 Jun →
inferno	11–13	-0.01	22%	5 Jun →
vertigo	5–13	-0.06	50%	3 Jun →
dust2	13–2	0.12	24%	2 Jun →
dust2	11–13	0.01	11%	2 Jun →
ancient	5–13	-0.09	13%	2 Jun →
anubis	8–13	0.00	18%	2 Jun →
anubis	10–13	-0.04	17%	2 Jun →
anubis	12–12	-0.08	13%	31 May →
anubis	8–13	-0.06	17%	31 May →
anubis	9–13	-0.01	11%	31 May →
anubis	6–13	-0.11	14%	30 May →
anubis	3–13	-0.04	28%	29 May →
dust2	8–13	0.03	15%	26 May →
overpass	8–13	0.03	24%	24 May →
cache	2–13	-0.03	27%	24 May →
mirage	1–13	-0.06	30%	24 May →
dust2	3–13	-0.08	29%	24 May →
office	8–13	-0.09	67%	23 May →
alpine	13–8	0.03	21%	23 May →
vertigo	0–2	-0.06	0%	23 May →
anubis	11–13	-0.03	21%	23 May →
mirage	11–13	0.01	23%	23 May →