1748 — CS2 Stats

76561199038496704[U:1:1078230976]Steam profile ↗

1,432Tracked matches43%Win rate2022Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,385Pink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#12744 of 33481 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning56

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWLWLLWWWL

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.4

Aggression7.3

Utility6.1

Positioning5.6

Opening Duels3.2

Clutch2.4

Excellent counter-strafingStrong 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 b1t 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim7.4

Positioning5.6

Utility6.1

Mechanics9.1

Opening Duels3.2

Win Impact2.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time604ms+13ms

first ⅓ avg 591ms → last ⅓ avg 604ms

Headshot accuracy15.9%+2.0%

first ⅓ avg 13.9% → last ⅓ avg 15.9%

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

0.08Best rating — anubis 13–11

13–4Biggest win — inferno

6Longest win streak

7–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	41	18–23	44%	-0.01
mirage	C	21	8–13	38%	-0.02
ancient	B	20	9–11	45%	-0.02
anubis	S	7	5–2	71%	0.00
nuke	B	6	3–3	50%	-0.02
dust2	A	5	3–2	60%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

355Matches

54%Win rate

0.90Avg K/D

73.4ADR

44%Headshot %

Clutches & streaks

32%1v1 clutch win

29%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	101	55%	0.89	13.4
Inferno	71	65%	1.03	14.9
Anubis	38	53%	0.94	15.8
Ancient	34	47%	0.81	14.6
Nuke	22	68%	0.98	15.2
Dust2	10	40%	0.96	16.1
Train	3	100%	0.87	17.7
Vertigo	3	100%	0.85	15.7

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.

16.0%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.1%Spray accuracy

90.7%Counter-strafing

12.0°Preaim

599msReaction time

32.5%T opening success

53.3%CT opening success

0.73Enemies flashed / flash

11.3%Flash assists

10.97HE damage / grenade

6.57Flashes / 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 32.5261% — below the 40% mark we flag

Spend your practice time on Mirage

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 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–13	0.02	18%	29 Aug →
inferno	7–2	0.04	10%	29 Aug →
mirage	7–13	-0.07	2%	29 Aug →
dust2	13–7	-0.05	16%	29 Aug →
inferno	9–13	-0.03	16%	28 Aug →
dust2	2–13	-0.05	18%	28 Aug →
inferno	13–9	0.01	16%	28 Aug →
dust2	13–9	-0.06	22%	27 Aug →
nuke	13–8	0.03	13%	27 Aug →
inferno	4–13	-0.09	8%	27 Aug →
inferno	11–13	-0.01	20%	26 Aug →
ancient	12–12	-0.03	13%	25 Aug →
inferno	13–9	-0.00	19%	25 Aug →
dust2	10–13	0.02	22%	25 Aug →
inferno	10–13	-0.02	19%	24 Aug →
ancient	4–13	-0.03	10%	24 Aug →
inferno	9–13	0.04	19%	24 Aug →
inferno	12–12	-0.03	17%	23 Aug →
inferno	13–8	0.04	6%	23 Aug →
mirage	9–13	-0.00	18%	23 Aug →
inferno	5–13	-0.01	22%	22 Aug →
inferno	6–13	-0.09	17%	22 Aug →
inferno	13–7	0.01	15%	19 Aug →
ancient	13–7	-0.00	12%	19 Aug →
dust2	6–2	-0.09	17%	19 Aug →
inferno	13–4	0.00	19%	19 Aug →
mirage	3–13	-0.01	15%	5 May →
nuke	1–13	-0.09	20%	1 May →
ancient	13–11	0.01	11%	1 May →
inferno	3–13	0.01	29%	30 Apr →
inferno	3–13	-0.08	22%	30 Apr →
ancient	11–13	-0.05	10%	30 Apr →
inferno	13–8	0.04	12%	29 Apr →
inferno	6–13	0.05	17%	29 Apr →
anubis	13–5	0.01	15%	29 Apr →
inferno	10–13	0.03	11%	29 Apr →
ancient	8–13	0.02	25%	28 Apr →
inferno	13–10	-0.01	32%	28 Apr →
mirage	12–12	-0.07	8%	28 Apr →
ancient	13–11	-0.00	20%	27 Apr →
mirage	4–13	-0.01	10%	27 Apr →
inferno	10–13	-0.06	7%	26 Apr →
mirage	3–13	-0.04	26%	26 Apr →
ancient	10–13	-0.03	15%	26 Apr →
mirage	13–8	0.01	15%	26 Apr →
ancient	13–10	0.04	18%	25 Apr →
nuke	13–10	-0.01	23%	25 Apr →
anubis	13–11	0.08	25%	25 Apr →
inferno	13–10	0.03	27%	24 Apr →
inferno	7–13	-0.06	18%	24 Apr →
mirage	12–12	-0.02	7%	14 Mar →
ancient	11–13	-0.01	9%	14 Mar →
anubis	8–13	-0.01	11%	14 Mar →
inferno	13–11	-0.00	17%	14 Mar →
inferno	13–6	-0.05	11%	3 Mar →
inferno	5–13	-0.02	14%	3 Mar →
ancient	4–4	0.00	23%	28 Feb →
inferno	7–13	-0.05	16%	28 Feb →
mirage	3–13	-0.06	10%	28 Feb →
ancient	11–13	-0.04	15%	27 Feb →
inferno	5–13	-0.06	11%	24 Feb →
inferno	11–13	0.01	29%	23 Feb →
inferno	13–11	0.00	11%	18 Feb →
inferno	13–10	-0.04	13%	18 Feb →
mirage	7–13	-0.04	20%	15 Feb →
ancient	3–13	-0.03	14%	15 Feb →
ancient	12–12	-0.06	12%	14 Feb →
inferno	13–7	0.01	12%	14 Feb →
anubis	13–8	-0.03	10%	14 Feb →
mirage	13–6	-0.04	7%	14 Feb →
anubis	12–12	-0.02	20%	7 Feb →
ancient	13–9	-0.04	10%	7 Feb →
mirage	3–13	-0.06	22%	6 Feb →
mirage	13–6	0.02	18%	6 Feb →
inferno	12–12	-0.01	23%	6 Feb →
mirage	13–5	0.05	24%	5 Feb →
nuke	10–13	0.03	18%	5 Feb →
inferno	8–13	-0.02	18%	30 Jan →
mirage	5–13	0.00	11%	30 Jan →
ancient	7–13	-0.07	9%	28 Jan →
mirage	8–13	-0.06	8%	28 Jan →
mirage	13–7	-0.01	24%	28 Jan →
inferno	8–0	0.01	21%	27 Jan →
inferno	12–12	-0.03	23%	27 Jan →
mirage	13–9	-0.02	11%	27 Jan →
anubis	13–4	-0.03	11%	27 Jan →
anubis	13–5	0.01	19%	27 Jan →
nuke	13–7	0.01	10%	27 Jan →
mirage	13–10	0.03	18%	27 Jan →
inferno	13–8	0.01	10%	26 Jan →
nuke	9–13	-0.08	8%	26 Jan →
ancient	16–14	-0.03	10%	26 Jan →
mirage	8–13	0.00	13%	26 Jan →
inferno	13–6	0.03	6%	26 Jan →
mirage	13–7	-0.03	7%	25 Jan →
ancient	13–9	-0.05	13%	25 Jan →
ancient	13–10	0.02	10%	25 Jan →
ancient	13–8	0.06	7%	24 Jan →
inferno	13–11	0.04	15%	24 Jan →
inferno	9–13	-0.06	15%	24 Jan →