4446 — CS2 Stats

76561198813752023[U:1:853486295]✓ No bans

2,642Tracked matches52%Win rate2021Tracked since

4,334Hours in CS21Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim84

Positioning54

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLWWLLLWLLW

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression7.2

Utility3.4

Positioning5.4

Opening Duels3.9

Clutch3.0

Limited 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 ropz 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Reaction time. 557ms 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

Aim8.4

Positioning5.4

Utility3.4

Mechanics6.7

Opening Duels3.9

Win Impact5.6

Composite 5.8/10 (Solid), 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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time559ms−22ms

first ⅓ avg 581ms → last ⅓ avg 559ms

Headshot accuracy25.3%−1.8%

first ⅓ avg 27.1% → last ⅓ avg 25.3%

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

0.26Best rating — inferno 9–0

13–0Biggest win — train

5Longest win streak

6–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 60% over 10vertigoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	34	16–18	47%	0.02
dust2	B	20	9–11	45%	-0.01
mirage	A	10	6–4	60%	-0.01
cache	C	9	4–5	44%	0.02
vertigo	C	5	2–3	40%	-0.04
anubis	A	5	3–2	60%	0.00
office	—	4	1–3	25%	-0.02
nuke	—	4	2–2	50%	-0.01
italy	—	3	1–2	33%	-0.01
ancient	—	3	3–0	100%	0.02
train	—	2	2–0	100%	0.01
eldorado	—	1	1–0	100%	-0.19

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,809Lifetime kills

0.97K/D

6,682Matches

46.2%Match win rate · Top 50% of tracked players

48.1%Headshot % · Top 50% of tracked players

6.2%Shot accuracy

12,771MVPs

2,731Hours (in match)

4,462Bombs planted

1,370Bombs defused

Most-used weapons

AK-4738,821

AWP23,369

M4A4 / M4A1-S18,350

Desert Eagle10,694

P2000 / USP-S6,897

SSG 085,637

Glock-185,536

MP92,513

Galil AR2,100

P2501,844

Lifetime map wins

22,870dust2

8,789inferno

2,178nuke

1,882vertigo

1,455cbble

661office

385lake

332train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

341Matches

51%Win rate

1.06Avg K/D

72.3ADR

50%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	113	51%	0.99	14.1
Dust2	92	54%	1.06	14.5
Inferno	56	59%	1.41	16.9
Ancient	32	47%	1.01	14.9
Anubis	25	40%	0.83	12.8
Nuke	6	50%	0.75	12.7
Vertigo	4	50%	1.05	18.3
Biome	1	0%	1.19	19.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

25.4%Headshot accuracy

33.7%Accuracy (enemy spotted)

37.3%Spray accuracy

80.0%Counter-strafing

7.8°Preaim

557msReaction time

39.2%T opening success

51.9%CT opening success

0.44Enemies flashed / flash

7.0%Flash assists

6.37HE damage / grenade

4.26Flashes / 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 0.4362 — 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 39.2223% — below the 40% mark we flag

Spend your practice time on Vertigo

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	-0.04	13%	28 Aug →
italy	13–6	-0.01	32%	27 Aug →
inferno	9–5	0.01	27%	27 Aug →
inferno	5–13	-0.01	4%	18 Aug →
inferno	5–13	0.02	28%	18 Aug →
italy	11–13	-0.06	28%	17 Aug →
cache	13–4	0.06	41%	17 Aug →
italy	5–13	0.02	26%	17 Aug →
inferno	5–9	-0.06	21%	16 Aug →
train	13–0	0.04	43%	16 Aug →
train	13–2	-0.03	16%	14 Aug →
dust2	13–4	-0.05	21%	11 Aug →
dust2	13–9	-0.05	25%	11 Aug →
inferno	9–6	0.07	9%	11 Aug →
cache	10–13	-0.03	20%	9 Aug →
vertigo	13–6	-0.02	28%	9 Aug →
mirage	7–13	-0.02	14%	9 Aug →
cache	13–1	0.13	26%	8 Aug →
inferno	13–3	-0.02	11%	8 Aug →
inferno	9–4	0.03	26%	7 Aug →
mirage	13–7	0.08	25%	7 Aug →
vertigo	13–11	0.01	45%	6 Aug →
dust2	14–16	-0.01	24%	6 Aug →
dust2	1–6	-0.07	75%	4 Aug →
anubis	8–13	-0.10	21%	4 Aug →
mirage	4–13	-0.10	11%	3 Aug →
dust2	13–8	-0.05	35%	3 Aug →
cache	12–12	-0.03	22%	3 Aug →
inferno	13–10	-0.03	32%	30 Jul →
office	2–13	-0.06	18%	30 Jul →
dust2	4–13	0.02	12%	30 Jul →
inferno	9–2	0.06	31%	29 Jul →
vertigo	12–12	-0.02	25%	29 Jul →
mirage	13–11	-0.03	23%	29 Jul →
cache	12–12	-0.04	42%	28 Jul →
nuke	13–11	0.01	28%	28 Jul →
ancient	13–5	0.07	34%	24 Jul →
vertigo	11–13	-0.06	14%	24 Jul →
anubis	13–7	0.08	24%	23 Jul →
inferno	8–8	-0.07	25%	19 Jul →
inferno	12–12	0.05	33%	18 Jul →
inferno	9–3	0.11	60%	17 Jul →
inferno	9–4	-0.16	12%	17 Jul →
mirage	13–10	-0.02	29%	17 Jul →
dust2	13–7	-0.05	17%	17 Jul →
cache	8–13	0.11	34%	17 Jul →
inferno	6–9	-0.07	13%	15 Jul →
vertigo	6–13	-0.10	40%	15 Jul →
office	13–5	0.03	13%	14 Jul →
inferno	9–0	0.26	19%	12 Jul →
eldorado	9–7	-0.19	18%	12 Jul →
dust2	11–13	0.04	26%	10 Jul →
dust2	13–6	-0.03	12%	10 Jul →
office	11–13	-0.01	39%	9 Jul →
office	5–13	-0.04	23%	9 Jul →
inferno	9–2	0.21	48%	6 Jul →
dust2	10–13	0.04	43%	6 Jul →
dust2	13–8	0.02	29%	6 Jul →
inferno	9–4	0.13	24%	29 Jun →
dust2	0–13	-0.05	0%	29 Jun →
cache	13–7	0.05	13%	28 Jun →
mirage	13–9	0.04	31%	28 Jun →
inferno	4–9	-0.08	41%	25 Jun →
ancient	13–10	-0.02	31%	25 Jun →
mirage	3–13	-0.04	4%	19 Jun →
dust2	7–13	-0.00	13%	19 Jun →
mirage	13–7	0.07	30%	17 Jun →
dust2	8–13	-0.04	21%	17 Jun →
anubis	10–13	-0.02	27%	17 Jun →
inferno	5–9	-0.02	36%	16 Jun →
inferno	7–9	-0.02	26%	16 Jun →
inferno	8–8	-0.04	35%	16 Jun →
inferno	8–13	-0.05	18%	12 Jun →
inferno	9–1	0.16	25%	9 Jun →
mirage	13–11	-0.01	13%	9 Jun →
dust2	13–5	0.01	21%	2 Jun →
mirage	10–13	-0.03	16%	2 Jun →
inferno	9–2	0.21	32%	31 May →
inferno	2–9	-0.10	56%	31 May →
inferno	4–13	-0.05	36%	27 May →
inferno	9–1	0.25	20%	23 May →
inferno	9–4	0.05	26%	23 May →
nuke	1–13	0.00	33%	18 May →
anubis	16–14	0.00	22%	18 May →
dust2	10–13	-0.04	32%	18 May →
nuke	3–9	-0.05	40%	13 May →
inferno	6–9	-0.12	33%	13 May →
inferno	7–9	0.04	20%	13 May →
inferno	6–9	-0.03	13%	13 May →
nuke	13–4	-0.02	29%	9 May →
dust2	13–1	-0.03	24%	9 May →
inferno	6–13	-0.06	29%	9 May →
dust2	13–1	0.09	36%	9 May →
cache	8–13	-0.06	17%	9 May →
anubis	13–3	0.05	13%	9 May →
dust2	8–13	0.00	21%	8 May →
cache	13–2	-0.01	36%	8 May →
inferno	13–1	0.15	24%	7 May →
dust2	10–13	0.03	31%	7 May →
ancient	13–6	0.01	34%	4 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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