scatFreak — CS2 Stats

IM76561198370833396[U:1:410567668]Steam profile ↗✓ No bans

249Tracked matches57%Win rate2025Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning55

Utility13

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateLLWWWWLTWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression4.8

Utility1.3

Positioning5.5

Opening Duels1.7

Clutch0.4

Limited utility dependence

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 83% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 593ms 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

Aim6.7

Positioning5.5

Utility1.3

Mechanics7.0

Opening Duels1.7

Win Impact7.4

Composite 5.3/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time595ms−30ms

first ⅓ avg 625ms → last ⅓ avg 595ms

Headshot accuracy12.1%−2.9%

first ⅓ avg 15.0% → last ⅓ avg 12.1%

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 — ancient 13–3

13–2Biggest win — dust2

5Longest win streak

L2Current streak

1–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 70% over 10nukeWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	42	24–18	57%	0.02
mirage	B	36	18–18	50%	0.01
ancient	S	10	7–3	70%	0.01
nuke	C	9	4–5	44%	-0.01
inferno	—	2	0–2	0%	-0.04
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

35Matches

49%Win rate

1.20Avg K/D

77.3ADR

43%Headshot %

Clutches & streaks

22%1v1 clutch win

15%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	60%	1.28	17.7
Dust2	8	38%	1.11	13.9
Ancient	6	50%	1.14	13.8
Anubis	3	67%	1.14	23.0
Inferno	2	0%	1.30	19.5
Nuke	1	0%	1.12	19.0

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.

11.8%Headshot accuracy

37.2%Accuracy (enemy spotted)

36.1%Spray accuracy

81.6%Counter-strafing

9.5°Preaim

593msReaction time

43.2%T opening success

30.2%CT opening success

0.36Enemies flashed / flash

1.3%Flash assists

5.51HE damage / grenade

0.75Flashes / 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 11.7811% — 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 0.3629 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.1842% — below the 40% mark we flag

Spend your practice time on Nuke

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	2–13	-0.09	0%	25 Aug →
mirage	4–13	-0.01	5%	25 Aug →
mirage	13–9	-0.06	11%	23 Aug →
mirage	13–4	0.02	10%	15 Aug →
mirage	13–8	0.08	18%	15 Aug →
mirage	13–9	0.09	14%	15 Aug →
mirage	4–9	-0.06	9%	14 Aug →
train	12–12	0.00	8%	13 Aug →
dust2	13–4	0.09	6%	13 Aug →
dust2	2–7	0.09	19%	9 Aug →
dust2	13–2	0.16	18%	9 Aug →
dust2	0–13	-0.02	19%	9 Aug →
dust2	12–12	0.01	15%	8 Aug →
ancient	5–13	0.00	10%	8 Aug →
dust2	13–6	0.08	15%	8 Aug →
mirage	13–8	0.08	10%	8 Aug →
dust2	6–13	-0.03	16%	7 Aug →
mirage	13–8	0.01	12%	7 Aug →
dust2	1–13	-0.07	6%	7 Aug →
mirage	9–13	-0.07	6%	7 Aug →
dust2	13–10	-0.02	16%	7 Aug →
ancient	13–11	-0.00	14%	5 Aug →
dust2	13–9	-0.02	14%	5 Aug →
mirage	11–13	0.02	10%	5 Aug →
dust2	13–4	-0.04	10%	30 Jul →
nuke	8–13	-0.06	8%	8 Jun →
mirage	2–13	0.01	17%	8 Jun →
mirage	13–9	0.00	9%	7 Jun →
dust2	13–5	0.07	20%	7 Jun →
mirage	13–4	0.05	11%	7 Jun →
dust2	11–13	-0.02	17%	23 Jan →
mirage	12–12	0.01	12%	12 Dec →
dust2	3–13	-0.03	15%	12 Dec →
dust2	13–4	0.11	12%	8 Dec →
dust2	13–6	0.04	18%	8 Dec →
dust2	3–13	-0.05	7%	8 Dec →
nuke	15–15	-0.00	10%	8 Dec →
ancient	6–13	-0.06	6%	8 Dec →
mirage	13–10	-0.06	7%	6 Dec →
dust2	13–7	0.07	19%	6 Dec →
nuke	13–9	-0.02	15%	3 Dec →
inferno	2–13	-0.01	14%	3 Dec →
dust2	13–8	-0.01	7%	2 Dec →
dust2	13–5	-0.02	8%	2 Dec →
dust2	13–9	0.02	16%	28 Nov →
mirage	13–6	0.05	8%	28 Nov →
ancient	13–3	0.19	11%	18 Aug →
dust2	11–13	0.05	14%	18 Aug →
mirage	10–13	0.00	11%	17 Aug →
dust2	10–13	0.02	16%	16 Aug →
dust2	11–13	0.00	13%	16 Aug →
dust2	13–5	0.01	13%	15 Aug →
mirage	9–13	-0.00	9%	15 Aug →
dust2	4–13	-0.01	8%	15 Aug →
dust2	12–12	0.01	13%	15 Aug →
mirage	11–13	0.01	10%	14 Aug →
mirage	6–13	-0.07	3%	14 Aug →
dust2	13–3	0.09	13%	14 Aug →
dust2	5–13	-0.03	15%	14 Aug →
dust2	13–9	-0.03	10%	14 Aug →
nuke	4–13	-0.05	16%	14 Aug →
dust2	9–13	0.00	11%	13 Aug →
mirage	12–12	-0.04	13%	13 Aug →
mirage	13–10	-0.02	8%	13 Aug →
mirage	11–13	-0.02	13%	11 Aug →
dust2	13–3	0.09	12%	11 Aug →
mirage	13–6	0.04	16%	10 Aug →
dust2	13–4	0.08	20%	9 Aug →
dust2	13–10	0.01	8%	9 Aug →
nuke	16–13	-0.01	14%	8 Aug →
mirage	6–11	0.00	15%	7 Aug →
dust2	13–8	-0.05	15%	7 Aug →
nuke	13–6	0.03	16%	6 Aug →
nuke	13–7	0.05	11%	6 Aug →
dust2	13–5	0.05	15%	6 Aug →
mirage	11–13	0.02	16%	3 Aug →
ancient	13–3	0.08	9%	3 Aug →
dust2	13–5	0.14	15%	2 Aug →
mirage	13–10	0.02	16%	2 Aug →
mirage	7–0	0.11	17%	2 Aug →
nuke	9–13	0.01	6%	2 Aug →
mirage	13–8	0.05	18%	2 Aug →
ancient	13–7	-0.06	9%	1 Aug →
ancient	13–5	0.00	17%	1 Aug →
dust2	5–13	-0.02	21%	1 Aug →
inferno	6–13	-0.07	14%	1 Aug →
dust2	3–13	-0.05	12%	27 Jul →
ancient	10–13	-0.01	23%	27 Jul →
nuke	5–13	-0.02	15%	27 Jul →
dust2	13–8	0.03	19%	26 Jul →
mirage	1–13	-0.07	13%	26 Jul →
ancient	13–6	-0.04	27%	26 Jul →
mirage	15–15	-0.01	13%	26 Jul →
mirage	16–13	0.00	16%	26 Jul →
dust2	15–15	-0.01	10%	25 Jul →
mirage	13–8	0.02	7%	25 Jul →
mirage	11–13	0.11	10%	22 Jul →
dust2	13–10	0.04	25%	22 Jul →
ancient	13–4	-0.04	13%	20 Jul →
mirage	13–4	0.05	18%	19 Jul →