Frisky — CS2 Stats

76561198195128209[U:1:234862481]

1,952Tracked matches43%Win rate2020Tracked since

5,072Hours in CS1Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 9 · 1,930 ELOTop 20.7% of ranked FACEIT players

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	vs Level 10
Headshot rate	37.8%	52.8%	14.9% short
Shot accuracy	16.3%	13.7%	above
Kill/death ratio	1.25	1.08	above
Match win rate	53.1%	49.2%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim55

Positioning47

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLLLWWWWLL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

Aim5.5

Aggression6.8

Utility5.4

Positioning4.7

Opening Duels3.8

Clutch2.8

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 iM 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 564ms 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

Aim5.5

Positioning4.7

Utility5.4

Mechanics4.9

Opening Duels3.8

Win Impact2.8

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time563ms−18ms

first ⅓ avg 582ms → last ⅓ avg 563ms

Headshot accuracy12.6%−5.8%

first ⅓ avg 18.4% → last ⅓ avg 12.6%

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

0.13Best rating — dust2 13–4

13–1Biggest win — overpass

7Longest win streak

6–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

trainBest map · 83% over 6overpassWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	12–10	55%	0.01
inferno	B	17	9–8	53%	0.00
anubis	S	15	11–4	73%	0.01
dust2	D	13	3–10	23%	0.01
overpass	D	11	2–9	18%	0.00
ancient	B	11	5–6	45%	-0.01
train	S	6	5–1	83%	0.03
mirage	—	4	0–4	0%	0.02
palacio	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,111Lifetime kills

1.25K/D · Top 25% of tracked players

6,096Matches

53.1%Match win rate · Top 10% of tracked players

37.8%Headshot %

16.3%Shot accuracy · Top 25% of tracked players

18,889MVPs

2,975Hours (in match)

7,213Bombs planted

2,508Bombs defused

Most-used weapons

AK-4731,775

AWP28,274

M4A4 / M4A1-S19,135

P2000 / USP-S9,287

Desert Eagle7,622

Glock-185,191

MP94,067

MP73,367

MAC-103,045

SSG 082,713

Lifetime map wins

16,979inferno

7,796nuke

5,001dust2

4,657vertigo

4,302train

1,310cbble

636office

559bank

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

Faceit stats

Combat

1,446Matches

51%Win rate

1.18Avg K/D

80.8ADR

36%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	35	43%	1.06	15.2
Ancient	24	62%	1.13	15.0
Nuke	22	59%	1.17	16.7
Inferno	14	50%	1.28	17.6
Dust2	12	58%	0.99	12.8
Vertigo	7	43%	1.08	14.1
Train	5	40%	0.81	11.2
Mirage	5	40%	0.82	11.4

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.

12.2%Headshot accuracy

34.5%Accuracy (enemy spotted)

35.5%Spray accuracy

72.0%Counter-strafing

10.5°Preaim

564msReaction time

47.7%T opening success

43.1%CT opening success

0.44Enemies flashed / flash

5.4%Flash assists

10.60HE damage / grenade

7.41Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.2332% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4446 — below the 0.5 mark we flag
Grenade Lineups →

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.

18% win rate across 11 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
anubis	13–5	0.10	14%	14 Aug →
inferno	4–13	0.03	13%	7 Aug →
dust2	7–13	-0.01	15%	7 Aug →
dust2	11–13	0.02	14%	25 Jul →
anubis	13–10	0.03	6%	25 Jul →
nuke	13–9	0.08	12%	18 Jul →
inferno	13–6	0.10	12%	18 Jul →
nuke	13–7	0.05	14%	12 Jul →
overpass	8–13	-0.04	12%	2 Jul →
overpass	5–13	0.02	5%	2 Jul →
nuke	4–13	0.07	9%	2 Jul →
nuke	8–13	-0.04	15%	27 Jun →
inferno	5–13	0.01	11%	20 Jun →
inferno	4–13	-0.12	3%	15 May →
dust2	10–13	0.08	5%	15 May →
ancient	9–13	-0.01	0%	15 May →
nuke	11–13	0.05	26%	15 May →
ancient	3–13	-0.02	10%	9 May →
overpass	6–13	0.03	13%	9 May →
anubis	13–11	-0.03	16%	26 Apr →
nuke	13–5	0.01	22%	25 Apr →
anubis	13–10	0.01	13%	25 Apr →
ancient	13–5	0.08	8%	10 Apr →
anubis	13–9	0.04	14%	10 Apr →
inferno	13–11	0.01	22%	10 Apr →
nuke	13–8	0.10	17%	10 Apr →
nuke	4–13	-0.07	15%	10 Apr →
inferno	13–10	0.05	17%	10 Apr →
anubis	7–13	-0.04	5%	3 Apr →
ancient	4–13	-0.07	4%	28 Mar →
inferno	16–13	0.09	16%	20 Mar →
inferno	5–13	-0.04	19%	7 Mar →
nuke	13–6	0.03	21%	7 Mar →
anubis	13–2	-0.05	16%	7 Mar →
nuke	15–15	0.01	20%	28 Feb →
mirage	11–13	0.05	19%	21 Feb →
ancient	13–4	0.11	11%	21 Feb →
anubis	13–16	0.00	17%	7 Feb →
nuke	13–3	-0.05	6%	7 Feb →
inferno	13–10	-0.01	14%	10 Jan →
palacio	13–8	0.01	8%	3 Jan →
dust2	1–13	-0.03	18%	3 Jan →
nuke	13–11	-0.01	15%	27 Dec →
overpass	9–13	0.01	19%	25 Dec →
ancient	7–13	-0.08	11%	6 Dec →
overpass	13–10	0.03	7%	22 Nov →
inferno	2–13	-0.08	4%	30 Sept →
overpass	8–13	-0.01	9%	27 Sept →
dust2	8–13	-0.01	20%	27 Sept →
overpass	5–13	-0.00	11%	20 Sept →
inferno	7–13	-0.03	20%	14 Sept →
overpass	4–13	0.01	13%	13 Sept →
nuke	13–9	0.01	17%	6 Sept →
nuke	11–13	-0.01	16%	6 Sept →
train	13–3	0.03	13%	6 Sept →
ancient	16–19	-0.04	14%	9 Aug →
overpass	8–13	-0.03	11%	9 Aug →
mirage	11–13	0.01	10%	9 Aug →
nuke	2–13	-0.07	13%	9 Aug →
ancient	19–17	-0.03	16%	9 Aug →
ancient	13–8	-0.01	6%	7 Aug →
train	13–6	-0.02	7%	7 Aug →
nuke	10–13	-0.03	11%	7 Aug →
ancient	13–6	-0.02	11%	7 Aug →
dust2	8–13	-0.02	16%	6 Aug →
overpass	13–1	0.06	18%	4 Aug →
dust2	10–13	-0.01	10%	4 Aug →
nuke	13–4	0.06	17%	4 Aug →
inferno	16–12	-0.01	23%	3 Aug →
train	13–5	0.02	30%	3 Aug →
dust2	13–6	0.05	19%	2 Aug →
train	13–1	0.09	29%	2 Aug →
mirage	5–13	0.03	19%	2 Aug →
overpass	15–15	-0.02	12%	2 Aug →
dust2	5–13	-0.05	17%	19 Jul →
train	13–8	0.07	19%	19 Jul →
nuke	13–10	0.04	29%	12 Jul →
anubis	14–16	-0.02	17%	11 Jul →
dust2	13–4	0.13	15%	9 Jul →
nuke	10–13	0.05	22%	27 Jun →
anubis	13–7	0.01	14%	7 Jun →
inferno	13–10	-0.01	18%	7 Jun →
inferno	6–13	-0.00	23%	7 Jun →
train	14–16	-0.00	24%	31 May →
mirage	3–13	-0.02	21%	29 May →
nuke	13–7	0.05	16%	29 May →
anubis	14–16	0.03	12%	29 May →
anubis	19–17	0.05	6%	24 May →
anubis	13–4	0.01	15%	24 May →
inferno	10–13	-0.02	29%	3 May →
dust2	11–13	-0.09	13%	3 May →
ancient	8–13	-0.03	16%	1 May →
dust2	10–13	-0.02	16%	26 Apr →
nuke	12–16	-0.04	9%	26 Apr →
dust2	13–9	0.07	11%	25 Apr →
anubis	13–4	0.05	14%	25 Apr →
nuke	13–10	0.04	19%	24 Apr →
inferno	13–1	0.04	23%	19 Apr →
anubis	13–9	0.01	12%	19 Apr →
inferno	13–11	0.07	28%	18 Apr →