Ʀǟ. — CS2 Stats

MX76561198003730347[U:1:43464619]Steam profile ↗✓ No bans

1,319Tracked matches43%Win rate2020Tracked since

3,074Hours in CS41Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating26,003Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#1611 of 14996 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning60

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWLWLWWLLL

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

Player DNA

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

Aim7.7

Aggression10.0

Utility6.9

Positioning6.0

Opening Duels4.7

Clutch4.2

Strong CT-side openerEffective flashes

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 device 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim7.7

Positioning6.0

Utility6.9

Mechanics5.3

Opening Duels4.7

Win Impact2.8

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time580ms−10ms

first ⅓ avg 589ms → last ⅓ avg 580ms

Headshot accuracy19.9%+4.0%

first ⅓ avg 15.9% → last ⅓ avg 19.9%

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

0.20Best rating — dust2 13–0

13–0Biggest win — dust2

6Longest win streak

8–12In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 56% over 16infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	16–17	48%	0.03
ancient	A	16	9–7	56%	-0.01
mirage	C	16	7–9	44%	0.01
cache	D	10	3–7	30%	-0.03
nuke	B	10	5–5	50%	0.03
inferno	D	7	1–6	14%	-0.02
anubis	B	6	3–3	50%	0.01
vertigo	—	1	0–1	0%	0.05
office	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,955Lifetime kills

1.29K/D · Top 25% of tracked players

4,227Matches

47.3%Match win rate · Top 50% of tracked players

39.1%Headshot %

14.2%Shot accuracy · Top 50% of tracked players

12,117MVPs

1,795Hours (in match)

3,172Bombs planted

1,284Bombs defused

Most-used weapons

AWP24,517

AK-4713,597

M4A4 / M4A1-S12,927

Galil AR5,304

P2505,087

Desert Eagle4,507

P2000 / USP-S4,061

Glock-183,999

FAMAS2,812

MP72,793

Lifetime map wins

12,119dust2

7,394inferno

3,443nuke

1,095train

718cbble

653vertigo

391dust

237aztec

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

Faceit stats

Combat

204Matches

52%Win rate

1.11Avg K/D

84.3ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	57	60%	1.22	17.7
Mirage	35	37%	0.94	14.5
Ancient	27	44%	1.04	17.0
Inferno	25	52%	0.92	16.0
Anubis	22	50%	0.98	16.3
Cache	12	58%	1.12	17.8
Nuke	9	67%	1.23	19.2
Overpass	3	67%	1.06	22.0

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.

19.7%Headshot accuracy

36.5%Accuracy (enemy spotted)

42.5%Spray accuracy

73.9%Counter-strafing

9.1°Preaim

573msReaction time

37.2%T opening success

60.3%CT opening success

0.73Enemies flashed / flash

3.8%Flash assists

9.43HE damage / grenade

15.30Flashes / 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 37.2088% — 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.

14% win rate across 7 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
inferno	14–16	0.05	17%	28 Aug →
dust2	13–7	-0.02	19%	27 Aug →
cache	8–13	-0.01	38%	27 Aug →
ancient	13–5	0.01	31%	26 Aug →
dust2	10–13	-0.01	16%	26 Aug →
dust2	13–2	0.01	21%	26 Aug →
dust2	13–1	0.11	21%	26 Aug →
dust2	6–13	-0.02	14%	25 Aug →
mirage	3–13	-0.07	13%	24 Aug →
mirage	3–13	-0.09	75%	24 Aug →
anubis	20–22	0.03	12%	23 Aug →
mirage	13–5	0.09	17%	23 Aug →
nuke	9–13	-0.03	17%	23 Aug →
dust2	8–13	0.12	21%	23 Aug →
dust2	13–6	0.07	14%	23 Aug →
dust2	10–13	-0.01	25%	22 Aug →
mirage	11–13	-0.04	18%	22 Aug →
anubis	11–13	-0.04	12%	22 Aug →
nuke	8–13	-0.02	15%	21 Aug →
dust2	13–11	-0.03	28%	19 Aug →
ancient	13–9	0.01	19%	19 Aug →
cache	10–13	-0.05	22%	18 Aug →
cache	13–6	0.00	13%	18 Aug →
ancient	13–5	0.03	21%	17 Aug →
nuke	13–5	-0.02	20%	9 Aug →
nuke	13–8	0.10	8%	9 Aug →
mirage	13–6	0.00	5%	9 Aug →
dust2	11–13	-0.00	18%	9 Aug →
dust2	5–13	0.03	25%	9 Aug →
mirage	10–13	0.11	15%	8 Aug →
dust2	10–13	0.03	13%	8 Aug →
dust2	5–13	-0.06	19%	8 Aug →
nuke	11–13	0.07	13%	8 Aug →
mirage	13–10	0.10	10%	6 Aug →
vertigo	12–12	0.05	15%	6 Aug →
office	13–11	-0.07	24%	6 Aug →
ancient	9–13	0.05	31%	5 Aug →
cache	9–13	-0.02	30%	5 Aug →
cache	8–1	-0.07	29%	5 Aug →
ancient	8–0	-0.03	16%	5 Aug →
dust2	13–9	-0.01	24%	5 Aug →
cache	10–13	-0.07	14%	4 Aug →
anubis	13–10	0.04	16%	4 Aug →
cache	3–13	-0.08	9%	4 Aug →
dust2	1–7	0.00	0%	3 Aug →
inferno	9–13	-0.04	10%	3 Aug →
inferno	7–13	-0.04	13%	31 Jul →
mirage	14–16	0.02	16%	30 Jul →
dust2	13–11	0.06	31%	30 Jul →
ancient	11–13	-0.06	6%	29 Jul →
inferno	14–16	-0.04	25%	29 Jul →
anubis	13–11	0.03	33%	28 Jul →
anubis	13–1	0.05	20%	28 Jul →
ancient	8–13	-0.05	24%	28 Jul →
dust2	13–6	0.06	15%	28 Jul →
dust2	10–13	0.01	22%	28 Jul →
ancient	16–14	0.05	13%	28 Jul →
dust2	8–13	0.00	20%	28 Jul →
dust2	7–13	-0.07	17%	27 Jul →
mirage	11–13	-0.01	10%	26 Jul →
dust2	13–11	0.09	13%	26 Jul →
dust2	13–4	0.09	28%	26 Jul →
nuke	13–5	0.17	21%	26 Jul →
mirage	5–13	0.02	17%	26 Jul →
dust2	2–13	-0.05	19%	25 Jul →
nuke	7–13	0.01	24%	24 Jul →
cache	6–13	-0.02	37%	24 Jul →
inferno	13–8	-0.03	13%	24 Jul →
ancient	7–13	-0.06	15%	24 Jul →
dust2	13–5	0.01	14%	23 Jul →
ancient	4–13	-0.02	28%	22 Jul →
mirage	13–6	0.02	18%	22 Jul →
cache	15–15	0.03	21%	21 Jul →
inferno	2–13	-0.09	14%	21 Jul →
dust2	10–13	-0.00	17%	21 Jul →
ancient	13–3	0.01	14%	21 Jul →
ancient	6–13	0.07	19%	21 Jul →
inferno	11–13	0.03	17%	21 Jul →
dust2	8–13	-0.00	11%	17 Jul →
dust2	13–7	-0.01	17%	15 Jul →
nuke	13–9	0.04	12%	15 Jul →
dust2	13–9	-0.01	23%	15 Jul →
ancient	22–20	-0.00	25%	15 Jul →
mirage	8–13	-0.07	19%	15 Jul →
ancient	6–13	-0.09	22%	14 Jul →
mirage	13–5	0.05	18%	14 Jul →
anubis	11–13	-0.03	7%	14 Jul →
dust2	13–4	0.09	17%	14 Jul →
mirage	13–4	0.01	16%	14 Jul →
ancient	16–12	-0.06	11%	14 Jul →
dust2	13–2	0.09	7%	14 Jul →
nuke	16–14	-0.00	14%	10 Jul →
cache	13–9	-0.06	7%	10 Jul →
nuke	6–13	0.02	8%	10 Jul →
mirage	6–13	0.02	10%	9 Jul →
ancient	13–4	-0.01	12%	9 Jul →
dust2	8–13	0.03	18%	9 Jul →
mirage	13–6	-0.04	10%	8 Jul →
dust2	13–0	0.20	39%	8 Jul →
dust2	12–12	0.08	13%	8 Jul →