Frisky — CS2 Stats

76561198094340958[U:1:134075230]

572Tracked matches41%Win rate2020Tracked since

2,410Hours in CS2Hrs last 2 wks

CSDB Rating4.3 DevelopingClutch Specialist

Ladder ranks via Leetify

Performance scores

Aim44

Positioning47

Utility35

0–100 skill scores via Leetify.

Recent form

COLD38–57–5Last 10038%Win rateLLLWLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.4

Aggression5.8

Utility3.5

Positioning4.7

Opening Duels1.9

Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 NiKo 80% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms 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

Aim4.4

Positioning4.7

Utility3.5

Mechanics6.6

Opening Duels2.9

Win Impact1.9

Composite 4.3/10 (Developing), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time696ms−22ms

first ⅓ avg 718ms → last ⅓ avg 696ms

Headshot accuracy15.9%+1.7%

first ⅓ avg 14.3% → 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

0.17Best rating — dust2 13–0

13–0Biggest win — dust2

6Longest win streak

L3Current streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 62% over 21overpassWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	37	14–23	38%	0.01
mirage	A	21	13–8	62%	0.01
nuke	D	10	2–8	20%	-0.01
inferno	D	9	3–6	33%	0.02
overpass	D	7	1–6	14%	-0.01
ancient	D	6	2–4	33%	-0.03
anubis	C	5	2–3	40%	-0.01
office	—	3	1–2	33%	0.01
cache	—	1	0–1	0%	0.06
train	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

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

Lifetime stats

36,650Lifetime kills

1.03K/D

1,956Matches

43.8%Match win rate

36.0%Headshot %

11.1%Shot accuracy

4,349MVPs

715Hours (in match)

1,676Bombs planted

367Bombs defused

Most-used weapons

AK-4710,173

M4A4 / M4A1-S6,085

AWP5,990

P2000 / USP-S1,840

Desert Eagle1,584

Glock-181,134

AUG966

Negev793

P90715

SCAR-20640

Lifetime map wins

11,512dust2

1,181nuke

1,087inferno

514vertigo

215office

158train

20stmarc

15cbble

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

Faceit stats

Combat

4Matches

25%Win rate

0.71Avg K/D

65.7ADR

43%Headshot %

Clutches & streaks

100%1v1 clutch win

50%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.86	12.0
Inferno	1	100%	0.56	10.0
Nuke	1	0%	0.43	6.0
Overpass	1	0%	1.00	15.0

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.

15.9%Headshot accuracy

29.7%Accuracy (enemy spotted)

29.7%Spray accuracy

79.7%Counter-strafing

9.8°Preaim

688msReaction time

22.2%T opening success

53.0%CT opening success

0.55Enemies flashed / flash

5.4%Flash assists

8.18HE damage / grenade

4.60Flashes / 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 22.2417% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–10	0.01	4%	22 Aug →
mirage	14–16	0.01	13%	22 Aug →
dust2	9–13	-0.06	11%	31 May →
dust2	13–0	0.17	18%	31 May →
dust2	10–13	-0.03	11%	19 May →
dust2	1–13	-0.05	18%	19 May →
anubis	6–13	-0.05	23%	19 May →
dust2	3–13	-0.04	13%	18 May →
mirage	13–3	-0.03	29%	18 May →
cache	11–13	0.06	11%	29 Apr →
dust2	5–13	0.01	15%	28 Apr →
overpass	6–13	-0.02	18%	27 Apr →
dust2	16–13	0.02	16%	23 Apr →
office	4–13	-0.02	13%	23 Apr →
office	13–10	0.01	9%	18 Apr →
office	12–12	0.04	27%	16 Apr →
mirage	15–15	-0.01	18%	13 Apr →
mirage	10–13	-0.02	20%	10 Apr →
anubis	13–7	0.02	21%	9 Apr →
mirage	13–9	0.03	11%	9 Apr →
dust2	13–6	0.03	13%	9 Apr →
inferno	8–13	0.00	21%	5 Apr →
nuke	16–13	-0.01	20%	22 Mar →
dust2	9–13	-0.06	9%	17 Mar →
dust2	13–4	0.11	18%	17 Mar →
dust2	15–15	0.00	19%	16 Mar →
dust2	13–11	0.03	8%	16 Mar →
nuke	9–13	-0.03	9%	11 Mar →
mirage	13–5	-0.04	27%	8 Mar →
inferno	11–13	-0.03	14%	28 Feb →
anubis	13–9	0.01	23%	28 Feb →
ancient	13–5	-0.02	15%	28 Feb →
mirage	5–13	-0.04	11%	27 Feb →
dust2	11–13	-0.10	8%	27 Feb →
dust2	2–0	-0.05	0%	27 Feb →
dust2	13–9	-0.04	11%	27 Feb →
ancient	3–13	-0.10	20%	23 Feb →
mirage	13–6	0.00	10%	23 Feb →
dust2	7–13	-0.03	17%	23 Feb →
ancient	2–13	-0.07	6%	22 Feb →
anubis	6–13	-0.03	8%	22 Feb →
mirage	13–0	0.03	28%	22 Feb →
ancient	3–13	-0.04	13%	22 Feb →
overpass	9–13	0.04	22%	22 Feb →
anubis	5–13	-0.01	12%	22 Feb →
mirage	13–9	0.05	13%	21 Feb →
overpass	2–13	0.01	29%	20 Feb →
dust2	6–13	0.02	15%	20 Feb →
mirage	13–8	0.05	12%	18 Feb →
dust2	11–13	-0.00	13%	16 Feb →
inferno	13–2	0.13	24%	16 Feb →
mirage	13–10	0.06	14%	16 Feb →
dust2	13–6	-0.01	9%	16 Feb →
dust2	13–10	-0.01	9%	16 Feb →
dust2	13–10	0.07	15%	15 Feb →
mirage	13–5	0.01	12%	15 Feb →
dust2	7–13	0.02	15%	15 Feb →
nuke	14–16	0.05	13%	7 Jan →
mirage	4–13	-0.05	20%	6 Jan →
dust2	8–13	-0.02	29%	5 Jan →
dust2	12–16	-0.00	16%	5 Jan →
ancient	5–13	0.02	9%	4 Jan →
mirage	1–13	-0.10	9%	4 Jan →
mirage	13–11	0.11	11%	4 Jan →
dust2	13–10	0.05	17%	4 Jan →
mirage	13–8	0.01	10%	3 Jan →
nuke	6–13	0.01	9%	3 Jan →
mirage	8–13	0.08	0%	3 Jan →
inferno	13–6	0.08	22%	3 Jan →
dust2	15–15	0.11	10%	3 Jan →
ancient	13–11	0.03	6%	2 Jan →
nuke	6–13	-0.00	9%	1 Jan →
dust2	2–13	-0.01	18%	30 Dec →
nuke	15–15	-0.04	19%	30 Dec →
inferno	9–13	0.04	12%	29 Dec →
dust2	6–13	0.11	11%	29 Dec →
dust2	10–13	0.02	26%	29 Dec →
dust2	5–13	-0.07	8%	29 Dec →
inferno	13–8	0.02	11%	29 Dec →
nuke	10–13	-0.03	15%	29 Dec →
mirage	13–10	0.03	18%	29 Dec →
dust2	10–13	0.02	16%	26 Dec →
overpass	10–13	-0.01	6%	24 Dec →
nuke	10–13	-0.01	17%	24 Dec →
nuke	6–13	-0.01	10%	15 Dec →
overpass	13–7	-0.03	24%	15 Dec →
dust2	16–14	-0.03	11%	14 Dec →
dust2	4–13	-0.06	4%	8 Dec →
mirage	13–5	0.08	13%	8 Dec →
inferno	5–13	-0.01	14%	5 Dec →
overpass	2–13	-0.07	10%	4 Dec →
inferno	3–13	-0.03	10%	2 Dec →
train	9–13	0.13	29%	2 Dec →
mirage	11–13	-0.05	17%	25 Nov →
nuke	16–14	0.00	11%	25 Nov →
overpass	11–13	-0.00	18%	23 Nov →
dust2	13–7	0.15	24%	23 Nov →
dust2	13–8	0.00	20%	23 Nov →
inferno	6–13	0.01	16%	12 Nov →
dust2	4–13	0.03	13%	12 Nov →