R3 — CS2 Stats

76561198448483788[U:1:488218060]Steam profile ↗

4,223Tracked matches50%Win rate2020Tracked since

2,952Hours in CS

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10 · 2,441 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	50.6%	52.8%
Shot accuracy	11.1%	13.7%
Kill/death ratio	0.94	1.08
Match win rate	51.7%	49.2%

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Performance scores

Aim81

Positioning59

Utility57

0–100 skill scores via Leetify.

Recent form

COLD55–45Last 10055%Win rateLLLLWWLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.1

Aggression7.4

Utility5.7

Positioning5.9

Opening Duels3.2

Clutch3.4

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 b1t 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 595ms 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

Aim8.1

Positioning5.9

Utility5.7

Mechanics6.5

Opening Duels3.2

Win Impact5.0

Composite 6.3/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time608ms+9ms

first ⅓ avg 598ms → last ⅓ avg 608ms

Headshot accuracy25.1%+3.3%

first ⅓ avg 21.8% → last ⅓ avg 25.1%

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 — mirage 13–3

13–0Biggest win — mirage

6Longest win streak

L4Current streak

10–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

mirageBest map · 68% over 25dust2Weakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	25	17–8	68%	0.01
ancient	S	20	13–7	65%	0.01
inferno	C	15	6–9	40%	0.01
dust2	C	13	5–8	38%	-0.00
anubis	B	11	5–6	45%	-0.01
overpass	S	6	4–2	67%	0.00
train	C	5	2–3	40%	-0.03
vertigo	—	2	1–1	50%	-0.00
cache	—	1	1–0	100%	-0.03
nuke	—	1	0–1	0%	0.01
dogtown	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,355Lifetime kills

0.94K/D

6,123Matches

51.7%Match win rate · Top 50% of Level 10 players

50.6%Headshot %

11.1%Shot accuracy

16,384MVPs

2,952Hours (in match)

6,583Bombs planted

2,079Bombs defused

Most-used weapons

AK-4742,120

M4A4 / M4A1-S27,184

AWP14,773

Desert Eagle7,816

P2000 / USP-S7,490

Glock-185,199

MAC-104,483

MP94,181

Knife3,971

Galil AR1,880

Lifetime map wins

13,149inferno

6,548vertigo

6,199dust2

2,294nuke

1,819train

313cbble

36office

32safehouse

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

Faceit stats

Combat

4,621Matches

52%Win rate

0.91Avg K/D

73.7ADR

49%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	703	52%	0.92	14.5
Ancient	545	57%	0.95	14.8
Anubis	393	53%	0.91	14.2
Inferno	260	51%	0.98	14.9
Dust2	225	50%	0.85	13.8
Vertigo	192	61%	0.99	14.6
Overpass	105	48%	0.91	13.6
Nuke	55	42%	0.82	14.2

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.

23.9%Headshot accuracy

37.1%Accuracy (enemy spotted)

40.4%Spray accuracy

79.0%Counter-strafing

9.4°Preaim

595msReaction time

39.3%T opening success

46.2%CT opening success

0.63Enemies flashed / flash

7.5%Flash assists

7.91HE damage / grenade

7.47Flashes / 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 39.2626% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.04	30%	25 Aug →
inferno	7–13	0.00	24%	22 Aug →
dust2	7–13	-0.06	33%	21 Aug →
ancient	6–13	-0.04	32%	18 Aug →
cache	13–8	-0.03	22%	18 Aug →
inferno	13–7	0.01	32%	15 Aug →
ancient	9–13	0.13	23%	28 Jul →
inferno	4–13	0.00	21%	27 Jul →
mirage	6–13	-0.02	41%	23 Jul →
mirage	13–10	0.03	24%	22 Jul →
anubis	13–16	-0.00	17%	22 Jul →
mirage	19–17	-0.00	13%	22 Jul →
train	2–13	-0.10	29%	22 Jul →
dust2	4–13	-0.04	14%	27 May →
mirage	13–6	0.07	25%	27 May →
inferno	13–2	0.01	20%	27 May →
mirage	11–13	0.02	35%	18 May →
dust2	13–7	0.03	14%	14 May →
mirage	13–0	0.14	28%	14 May →
dust2	11–13	0.04	31%	10 May →
mirage	13–3	0.15	22%	10 May →
ancient	13–10	-0.03	32%	9 May →
anubis	16–12	0.01	23%	9 May →
dust2	13–10	-0.05	17%	9 May →
mirage	11–2	0.04	40%	9 May →
dust2	9–13	-0.01	28%	9 May →
anubis	8–13	-0.01	21%	9 May →
mirage	13–11	0.00	24%	9 May →
vertigo	16–19	-0.06	10%	3 May →
mirage	13–7	-0.00	17%	3 May →
mirage	13–7	0.11	29%	3 May →
dust2	10–13	0.06	34%	24 Jan →
anubis	10–13	-0.04	24%	23 Jan →
ancient	11–13	-0.03	20%	18 Jan →
anubis	9–13	-0.06	12%	18 Jan →
mirage	13–11	-0.07	21%	15 Jan →
anubis	13–7	-0.01	13%	15 Jan →
anubis	5–13	-0.03	18%	12 Jan →
train	12–16	-0.06	16%	10 Jan →
inferno	13–7	0.11	20%	10 Jan →
dust2	13–11	0.04	8%	9 Jan →
anubis	16–13	-0.03	19%	7 Jan →
dust2	10–13	-0.02	26%	5 Jan →
ancient	16–13	0.00	23%	5 Jan →
overpass	13–4	0.05	9%	1 Jan →
overpass	13–4	0.04	17%	1 Jan →
dust2	13–8	0.07	17%	30 Dec →
dust2	13–10	0.04	23%	22 Dec →
train	16–13	0.03	21%	21 Dec →
inferno	11–13	-0.00	48%	17 Dec →
vertigo	16–12	0.05	26%	15 Dec →
anubis	13–8	0.10	41%	12 Dec →
anubis	13–8	-0.03	26%	12 Dec →
ancient	5–13	-0.02	16%	12 Dec →
mirage	3–13	-0.04	27%	9 Dec →
inferno	13–5	-0.08	27%	7 Dec →
ancient	13–7	-0.07	22%	3 Dec →
inferno	11–13	-0.08	28%	27 Nov →
mirage	11–13	0.01	26%	26 Nov →
mirage	8–13	-0.04	15%	9 Nov →
inferno	13–10	0.03	22%	7 Nov →
overpass	3–13	-0.09	38%	30 Oct →
ancient	13–2	-0.02	31%	30 Oct →
mirage	13–7	0.10	33%	30 Oct →
mirage	16–14	-0.04	29%	26 Oct →
dust2	3–13	-0.09	17%	19 Oct →
dust2	3–13	-0.03	16%	13 Oct →
ancient	13–7	0.06	21%	11 Oct →
train	16–14	0.04	31%	9 Oct →
nuke	9–13	0.01	30%	3 Oct →
overpass	13–8	0.03	30%	3 Oct →
ancient	13–9	-0.01	13%	22 Sept →
train	9–13	-0.06	18%	21 Sept →
ancient	1–13	-0.06	6%	13 Sept →
ancient	13–6	0.06	21%	6 Sept →
overpass	13–10	0.03	25%	5 Sept →
ancient	13–5	-0.04	28%	31 Aug →
ancient	13–4	0.03	23%	26 Aug →
overpass	8–13	-0.04	9%	18 Aug →
inferno	9–13	0.05	42%	13 Aug →
mirage	13–9	0.04	26%	12 Aug →
mirage	16–13	-0.04	24%	7 Aug →
mirage	13–11	-0.02	33%	6 Aug →
inferno	9–13	0.02	21%	27 Jul →
ancient	14–15	0.03	18%	25 Jul →
inferno	10–13	-0.03	16%	24 Jul →
mirage	8–13	-0.04	22%	24 Jul →
inferno	13–9	0.09	25%	22 Jul →
mirage	13–11	-0.02	21%	15 Jul →
inferno	10–13	0.00	17%	19 May →
ancient	13–11	0.08	18%	12 May →
ancient	13–6	0.01	18%	12 May →
mirage	13–5	0.01	16%	11 May →
dogtown	9–5	0.09	23%	9 May →
anubis	11–13	0.00	23%	2 May →
ancient	11–13	0.06	20%	23 Apr →
inferno	8–13	-0.01	17%	21 Apr →
ancient	16–14	0.04	20%	17 Apr →
mirage	8–13	-0.04	19%	16 Apr →
ancient	13–8	0.01	24%	16 Apr →