s0rrY^ — CS2 Stats

76561198016864742[U:1:56599014]Steam profile ↗

1,036Tracked matches37%Win rate2020Tracked since

CSDB Rating6.8 SolidEntry Fragger

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning68

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWLLWWLTWWW

Last 10 vs previous 10: +50pp win rate · +0.05 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.0

Aggression10.0

Utility5.7

Positioning6.8

Opening Duels6.5

Clutch4.8

Sharp aimerStrong CT-side opener

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 s1mple 93% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

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 70% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim9.0

Positioning6.8

Utility5.7

Mechanics8.0

Opening Duels6.5

Win Impact0.7

Composite 6.8/10 (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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time598ms−99ms

first ⅓ avg 697ms → last ⅓ avg 598ms

Headshot accuracy33.7%+2.1%

first ⅓ avg 31.5% → last ⅓ avg 33.7%

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

0.19Best rating — dust2 13–5

13–1Biggest win — train

11Longest win streak

9–8In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 63% over 8mirageWeakest map · 40% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	39	22–17	56%	0.05
mirage	C	20	8–12	40%	0.03
inferno	A	9	5–4	56%	0.06
cache	B	8	4–4	50%	0.07
overpass	A	8	5–3	63%	0.03
nuke	A	5	3–2	60%	0.06
anubis	C	5	2–3	40%	0.02
train	—	4	2–2	50%	0.04
ancient	—	1	0–1	0%	0.03
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

816Matches

55%Win rate

1.26Avg K/D

94.7ADR

57%Headshot %

Clutches & streaks

44%1v1 clutch win

27%1v2 clutch win

18Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	5	40%	1.38	18.8
Anubis	4	50%	1.64	22.5
Overpass	4	50%	1.24	15.5
Nuke	3	33%	1.44	17.3
Dust2	3	67%	1.52	22.3
Ancient	2	50%	1.26	18.5
Vertigo	1	100%	1.00	12.0
Train	1	0%	1.00	14.0

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.

32.7%Headshot accuracy

37.4%Accuracy (enemy spotted)

46.2%Spray accuracy

86.0%Counter-strafing

10.9°Preaim

604msReaction time

42.4%T opening success

69.8%CT opening success

0.57Enemies flashed / flash

7.2%Flash assists

8.32HE damage / grenade

8.12Flashes / match

Recommended for you

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.

40% win rate across 20 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	13–11	0.10	33%	3 Jul →
mirage	10–13	0.05	22%	3 Jul →
train	6–13	0.04	30%	3 Jul →
cache	13–8	0.12	29%	3 Jul →
nuke	13–11	0.09	18%	3 Jul →
dust2	11–13	0.08	54%	3 Jul →
dust2	12–12	0.02	39%	3 Jul →
inferno	13–9	-0.01	10%	2 Jul →
inferno	13–4	0.13	30%	2 Jul →
dust2	13–11	0.04	49%	2 Jul →
mirage	11–13	-0.04	29%	2 Jul →
anubis	8–13	0.03	17%	2 Jul →
overpass	11–13	0.07	45%	1 Jul →
ancient	7–13	0.03	41%	1 Jul →
overpass	6–0	0.11	100%	1 Jul →
mirage	6–13	0.07	26%	1 Jul →
nuke	3–13	-0.02	47%	1 Jul →
dust2	11–13	-0.04	30%	1 Jul →
anubis	3–13	-0.00	23%	1 Jul →
mirage	8–13	-0.02	33%	30 Jun →
dust2	5–13	0.03	38%	30 Jun →
inferno	4–13	-0.04	25%	30 Jun →
nuke	8–13	0.02	26%	30 Jun →
cache	9–13	0.09	27%	30 Jun →
mirage	3–13	0.06	25%	28 Jun →
dust2	13–8	0.05	45%	27 Jun →
dust2	12–12	0.08	44%	27 Jun →
dust2	13–6	0.00	23%	27 Jun →
overpass	12–12	0.05	34%	19 Jun →
cache	13–5	0.09	28%	19 Jun →
nuke	13–7	0.07	22%	19 Jun →
mirage	13–8	0.03	33%	19 Jun →
inferno	8–13	0.10	35%	19 Jun →
dust2	11–13	0.06	27%	19 Jun →
dust2	13–10	0.07	24%	19 Jun →
inferno	9–13	-0.01	35%	15 Jun →
train	13–10	0.11	34%	15 Jun →
dust2	13–4	0.19	25%	15 Jun →
dust2	13–11	0.19	35%	15 Jun →
overpass	13–7	0.02	38%	14 Jun →
cache	13–10	0.06	32%	13 Jun →
mirage	6–13	-0.05	34%	13 Jun →
train	7–13	-0.00	25%	13 Jun →
dust2	13–11	0.00	32%	13 Jun →
nuke	13–3	0.12	53%	10 Jun →
cache	13–3	0.12	25%	10 Jun →
mirage	12–12	0.09	28%	10 Jun →
dust2	6–13	0.08	27%	10 Jun →
mirage	12–12	0.05	40%	8 Jun →
cache	12–12	0.02	23%	8 Jun →
dust2	6–13	0.04	32%	8 Jun →
anubis	13–10	0.13	28%	30 May →
dust2	13–7	0.04	28%	29 May →
cache	5–13	0.01	35%	29 May →
inferno	8–13	0.00	20%	29 May →
dust2	13–10	0.04	45%	29 May →
overpass	13–11	-0.04	32%	9 May →
dust2	13–5	0.02	44%	9 May →
anubis	13–5	0.02	17%	9 May →
dust2	2–13	-0.09	25%	8 May →
dust2	13–11	0.00	22%	8 May →
mirage	1–13	-0.06	36%	8 May →
dust2	10–13	-0.00	33%	8 May →
inferno	13–9	0.13	63%	6 May →
mirage	13–5	0.11	37%	6 May →
dust2	13–3	0.06	31%	6 May →
dust2	6–13	0.09	38%	6 May →
dust2	5–13	0.06	30%	1 May →
cache	8–13	0.06	35%	1 May →
dust2	13–8	0.08	44%	1 May →
mirage	13–6	0.14	50%	24 Apr →
dust2	10–6	0.03	26%	24 Apr →
dust2	13–6	0.07	29%	24 Apr →
mirage	9–3	0.01	33%	21 Apr →
dust2	10–13	0.04	44%	21 Apr →
mirage	8–13	-0.03	33%	20 Apr →
dust2	13–10	0.06	41%	20 Apr →
dust2	13–9	0.07	47%	20 Apr →
overpass	13–8	0.02	24%	18 Apr →
dust2	13–9	0.10	38%	18 Apr →
mirage	13–9	0.07	29%	17 Apr →
mirage	13–10	0.01	47%	17 Apr →
overpass	13–5	0.04	24%	17 Apr →
inferno	13–7	0.11	43%	17 Apr →
mirage	13–10	0.08	35%	17 Apr →
dust2	13–11	0.17	33%	17 Apr →
dust2	13–5	0.19	46%	17 Apr →
dust2	3–12	-0.02	18%	11 Apr →
mirage	8–13	0.03	19%	11 Apr →
dust2	13–5	0.02	44%	11 Apr →
mirage	11–13	-0.08	33%	29 Mar →
dust2	8–13	-0.15	0%	28 Mar →
dust2	11–13	-0.02	9%	28 Mar →
vertigo	9–13	0.04	17%	7 Mar →
train	13–1	0.02	39%	6 Mar →
overpass	11–13	-0.02	31%	6 Mar →
mirage	13–8	0.08	37%	6 Mar →
dust2	13–11	0.07	25%	6 Mar →
anubis	7–13	-0.05	20%	6 Mar →
dust2	9–13	-0.02	18%	15 Feb →