Definitely Frey — CS2 Stats

76561198041163675[U:1:80897947]Steam profile ↗✓ No bans

228Tracked matches46%Win rate2024Tracked since

CSDB Rating3.7 Learning

Ladder ranks via Leetify

Performance scores

Aim34

Positioning43

Utility17

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLTLWWLWLWL

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

Player DNA

Aim3.4

Aggression4.1

Utility1.7

Positioning4.3

Opening Duels1.1

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 69% playstyle similarity

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

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

Reaction time. 710ms 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

Aim3.4

Positioning4.3

Utility1.7

Mechanics7.0

Opening Duels1.4

Win Impact3.8

Composite 3.7/10 (Learning), 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-0.03−0.03

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time721ms+17ms

first ⅓ avg 704ms → last ⅓ avg 721ms

Headshot accuracy11.6%−7.4%

first ⅓ avg 19.1% → last ⅓ avg 11.6%

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

0.14Best rating — overpass 13–6

13–1Biggest win — train

6Longest win streak

8–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 72% over 18infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	10–12	45%	-0.03
ancient	B	20	9–11	45%	-0.01
dust2	S	18	13–5	72%	-0.01
anubis	C	12	5–7	42%	-0.00
train	B	10	5–5	50%	-0.03
inferno	D	6	1–5	17%	-0.03
overpass	A	5	3–2	60%	0.03
nuke	—	4	4–0	100%	-0.02
vertigo	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.9%Headshot accuracy

31.1%Accuracy (enemy spotted)

30.0%Spray accuracy

81.6%Counter-strafing

11.3°Preaim

710msReaction time

27.0%T opening success

41.5%CT opening success

0.54Enemies flashed / flash

7.0%Flash assists

9.24HE damage / grenade

1.60Flashes / 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.

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 10.8871% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 709.5762ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.6003 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	4–13	-0.07	4%	27 Jul →
ancient	15–15	-0.05	6%	26 Jul →
ancient	9–13	-0.06	8%	1 Sept →
overpass	13–9	-0.00	10%	1 Sept →
dust2	13–9	0.01	11%	1 Sept →
mirage	6–13	-0.07	20%	17 Aug →
nuke	13–6	-0.06	8%	17 Aug →
overpass	8–13	-0.02	11%	17 Aug →
mirage	13–10	0.02	12%	14 Aug →
ancient	10–13	-0.06	16%	28 Jul →
overpass	13–6	0.14	9%	28 Jul →
train	7–13	-0.10	13%	20 Jul →
mirage	9–13	-0.00	19%	14 Jul →
ancient	10–13	-0.04	4%	14 Jul →
mirage	13–7	-0.02	25%	7 Jul →
dust2	4–13	-0.04	11%	7 Jul →
nuke	13–6	-0.07	6%	6 Jul →
mirage	12–12	-0.06	7%	6 Jul →
anubis	11–13	-0.02	10%	4 Jul →
inferno	7–13	-0.02	11%	4 Jul →
ancient	13–9	-0.00	11%	4 Jul →
train	13–9	-0.11	5%	4 Jul →
anubis	11–13	-0.04	0%	4 Jul →
mirage	13–5	-0.03	24%	29 Jun →
inferno	11–13	-0.03	11%	29 Jun →
anubis	10–0	0.05	20%	29 Jun →
mirage	4–13	-0.05	6%	26 Jun →
dust2	13–5	-0.01	5%	26 Jun →
train	13–6	0.06	21%	26 Jun →
anubis	11–13	-0.06	13%	25 Jun →
ancient	13–10	-0.01	8%	19 Jun →
mirage	5–13	-0.07	14%	19 Jun →
vertigo	8–13	-0.04	25%	14 Jun →
overpass	13–5	0.11	17%	14 Jun →
overpass	5–13	-0.06	9%	11 Jun →
ancient	13–3	0.09	19%	11 Jun →
vertigo	6–13	-0.05	11%	10 Jun →
train	7–13	-0.02	16%	10 Jun →
inferno	8–13	-0.06	23%	9 Jun →
ancient	15–15	-0.01	6%	6 Jun →
mirage	16–13	0.01	6%	6 Jun →
nuke	13–7	-0.02	12%	4 Jun →
dust2	8–13	-0.01	16%	4 Jun →
dust2	13–7	0.00	9%	27 May →
ancient	1–13	-0.08	14%	27 May →
train	13–1	-0.00	20%	27 May →
dust2	13–7	-0.02	16%	27 May →
mirage	10–13	-0.07	21%	27 May →
anubis	13–10	0.01	2%	26 May →
dust2	13–9	-0.00	13%	26 May →
ancient	8–13	0.02	28%	24 May →
mirage	13–16	0.01	20%	24 May →
mirage	13–11	-0.02	10%	24 May →
anubis	13–7	0.03	21%	23 May →
train	13–7	-0.01	26%	21 May →
ancient	13–10	-0.01	15%	21 May →
anubis	13–11	-0.01	5%	21 May →
dust2	13–5	-0.03	10%	21 May →
anubis	5–13	-0.02	8%	20 May →
train	16–13	0.01	14%	20 May →
nuke	13–1	0.09	22%	20 May →
mirage	13–3	0.04	16%	20 May →
inferno	10–13	-0.05	9%	20 May →
dust2	6–13	-0.09	10%	20 May →
anubis	11–13	-0.04	9%	19 May →
mirage	7–13	-0.10	13%	19 May →
dust2	13–11	-0.06	15%	18 May →
anubis	13–6	-0.00	18%	18 May →
ancient	11–13	-0.03	29%	18 May →
anubis	12–16	0.12	56%	14 May →
dust2	13–11	0.01	21%	13 May →
mirage	13–7	-0.04	16%	13 May →
train	3–13	-0.05	20%	13 May →
train	6–13	-0.05	24%	9 May →
dust2	13–5	-0.04	21%	9 May →
mirage	11–13	-0.05	17%	9 May →
dust2	13–10	0.00	10%	7 May →
ancient	13–10	0.00	18%	7 May →
mirage	13–11	-0.03	14%	6 May →
train	10–13	-0.04	30%	6 May →
ancient	16–14	-0.01	20%	6 May →
mirage	16–14	-0.05	16%	30 Mar →
dust2	15–15	0.03	11%	30 Mar →
inferno	7–9	-0.05	35%	30 Mar →
mirage	3–13	-0.06	17%	23 Mar →
dust2	13–10	0.01	16%	23 Mar →
ancient	13–5	-0.03	18%	23 Mar →
ancient	6–13	-0.04	6%	23 Mar →
dust2	11–13	-0.04	23%	23 Mar →
anubis	7–13	-0.04	6%	12 Nov →
vertigo	13–7	0.06	13%	12 Nov →
mirage	10–13	-0.00	28%	10 Nov →
ancient	13–6	-0.02	5%	10 Nov →
dust2	13–2	0.05	14%	10 Nov →
inferno	13–11	0.05	16%	10 Nov →
mirage	13–9	0.03	22%	10 Nov →
ancient	10–13	-0.00	19%	10 Nov →
ancient	13–6	0.14	13%	9 Nov →
dust2	13–4	0.07	26%	9 Nov →
mirage	7–13	0.03	13%	5 Nov →