FreakMoaker — CS2 Stats

CN76561198272351904[U:1:312086176]Steam profile ↗✓ No bans

432Tracked matches61%Win rate2025Tracked since

312Hours in CS

CSDB Rating6.3 SolidHybrid Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim67

Positioning49

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateLWWLWTLLWL

Last 10 vs previous 10: -20pp win rate · -0.06 avg rating

Player DNA

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

Aim6.7

Aggression6.5

Utility5.7

Positioning4.9

Opening Duels3.3

Strong 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 b1t 89% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 714ms 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

Positioning4.9

Utility5.7

Mechanics8.3

Opening Duels3.3

Win Impact8.6

Composite 6.3/10 (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 rating0.03+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time709ms−45ms

first ⅓ avg 754ms → last ⅓ avg 709ms

Headshot accuracy16.7%−1.1%

first ⅓ avg 17.8% → last ⅓ avg 16.7%

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

0.32Best rating — train 13–3

13–0Biggest win — mirage

8Longest win streak

2–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 67% over 12ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	24	14–10	58%	0.04
dust2	B	20	10–10	50%	0.04
nuke	A	14	8–6	57%	0.02
inferno	S	12	8–4	67%	0.02
cache	C	9	4–5	44%	0.00
anubis	A	8	5–3	63%	0.00
ancient	C	8	3–5	38%	0.03
train	—	2	2–0	100%	0.20
overpass	—	2	1–1	50%	0.07
vertigo	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,801Lifetime kills

1.11K/D · Top 50% of tracked players

1,046Matches

54.2%Match win rate · Top 10% of tracked players

47.5%Headshot % · Top 50% of tracked players

0.1%Shot accuracy

2,484MVPs

312Hours (in match)

615Bombs planted

517Bombs defused

Most-used weapons

AK-477,126

M4A4 / M4A1-S3,224

AWP856

P2000 / USP-S750

MP9592

Glock-18553

Desert Eagle536

MAC-10348

Galil AR282

Dual Berettas242

Lifetime map wins

2,435dust2

1,093inferno

1,092nuke

392train

378vertigo

60office

1aztec

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

Skill profile

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

16.3%Headshot accuracy

42.4%Accuracy (enemy spotted)

41.3%Spray accuracy

87.4%Counter-strafing

12.9°Preaim

714msReaction time

33.2%T opening success

52.9%CT opening success

0.49Enemies flashed / flash

8.1%Flash assists

8.81HE damage / grenade

11.66Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8997° — above the 12° 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 714.2496ms — above the 700ms 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 0.4934 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	0.01	14%	25 Aug →
inferno	13–6	0.00	12%	25 Aug →
inferno	13–7	0.03	23%	24 Aug →
dust2	10–13	0.03	13%	24 Aug →
mirage	13–0	0.03	0%	23 Aug →
nuke	12–12	0.06	11%	23 Aug →
inferno	9–13	0.01	23%	22 Aug →
dust2	9–13	0.02	15%	22 Aug →
nuke	13–10	-0.04	16%	22 Aug →
dust2	11–13	-0.02	13%	21 Aug →
mirage	13–10	-0.01	9%	21 Aug →
anubis	1–13	-0.11	3%	21 Aug →
dust2	12–12	0.05	23%	21 Aug →
train	13–3	0.32	33%	20 Aug →
mirage	13–2	0.26	10%	20 Aug →
nuke	4–13	0.01	34%	19 Aug →
anubis	4–13	-0.03	25%	19 Aug →
anubis	13–3	0.22	33%	18 Aug →
inferno	9–2	0.01	25%	18 Aug →
mirage	13–7	-0.01	17%	18 Aug →
nuke	13–8	0.04	14%	17 Aug →
mirage	13–5	0.04	20%	17 Aug →
anubis	11–13	-0.06	18%	12 Aug →
inferno	13–6	-0.06	12%	12 Aug →
dust2	11–13	0.03	16%	12 Aug →
mirage	6–13	-0.01	6%	12 Aug →
inferno	13–8	0.03	14%	10 Aug →
nuke	13–7	-0.00	13%	10 Aug →
dust2	13–7	0.00	14%	6 Aug →
mirage	13–0	0.01	13%	6 Aug →
anubis	13–10	-0.02	22%	6 Aug →
dust2	8–13	0.09	21%	4 Aug →
mirage	9–13	0.08	14%	4 Aug →
mirage	12–12	0.04	11%	3 Aug →
nuke	13–2	0.16	21%	3 Aug →
train	13–8	0.09	19%	3 Aug →
cache	12–12	0.04	16%	3 Aug →
mirage	13–8	0.06	20%	1 Aug →
dust2	13–2	0.09	23%	1 Aug →
ancient	13–2	0.12	8%	31 Jul →
dust2	12–1	-0.02	9%	31 Jul →
anubis	13–9	-0.02	40%	31 Jul →
dust2	13–9	0.02	10%	29 Jul →
cache	13–5	0.05	15%	28 Jul →
nuke	13–7	0.01	2%	28 Jul →
ancient	12–12	0.05	17%	27 Jul →
dust2	13–3	0.10	15%	27 Jul →
mirage	10–13	0.08	24%	22 Jul →
nuke	12–12	0.04	20%	22 Jul →
nuke	6–13	-0.06	39%	21 Jul →
inferno	11–13	0.05	19%	20 Jul →
cache	9–13	0.04	23%	14 Jul →
dust2	6–13	-0.06	16%	14 Jul →
nuke	13–5	0.02	30%	14 Jul →
mirage	10–13	0.07	30%	13 Jul →
cache	4–13	-0.05	15%	12 Jul →
ancient	16–12	-0.01	12%	12 Jul →
dust2	16–12	0.07	25%	12 Jul →
cache	13–10	-0.00	17%	9 Jul →
mirage	13–10	-0.02	18%	9 Jul →
mirage	13–10	0.05	15%	6 Jul →
ancient	6–13	0.02	12%	6 Jul →
cache	7–5	-0.03	16%	30 Jun →
mirage	5–13	0.01	14%	27 Jun →
dust2	13–5	0.08	12%	27 Jun →
cache	4–13	-0.07	30%	27 Jun →
mirage	13–4	0.08	22%	25 Jun →
overpass	1–4	0.07	13%	25 Jun →
nuke	13–4	-0.02	13%	25 Jun →
inferno	10–13	0.00	23%	25 Jun →
ancient	7–13	0.10	12%	25 Jun →
anubis	13–5	0.03	13%	25 Jun →
mirage	10–13	0.06	18%	22 Jun →
mirage	6–13	-0.02	13%	22 Jun →
ancient	13–9	-0.04	15%	22 Jun →
nuke	13–6	0.06	15%	20 Jun →
overpass	13–9	0.06	17%	18 Jun →
dust2	5–13	0.05	26%	18 Jun →
inferno	13–6	0.07	21%	17 Jun →
mirage	13–7	0.07	25%	17 Jun →
inferno	9–13	-0.02	20%	16 Jun →
nuke	9–13	-0.02	12%	16 Jun →
dust2	13–6	-0.03	23%	16 Jun →
cache	11–13	0.05	17%	16 Jun →
ancient	12–12	-0.05	17%	15 Jun →
mirage	11–13	-0.06	25%	15 Jun →
vertigo	10–13	-0.08	10%	15 Jun →
mirage	13–3	0.02	8%	14 Jun →
dust2	13–11	0.06	21%	11 Jun →
inferno	13–6	0.06	19%	10 Jun →
dust2	1–13	-0.04	17%	8 Jun →
inferno	13–3	0.01	17%	8 Jun →
anubis	13–8	0.02	24%	8 Jun →
ancient	9–13	0.05	24%	8 Jun →
dust2	6–6	0.12	21%	8 Jun →
mirage	13–0	0.07	18%	7 Jun →
mirage	13–10	0.08	21%	3 Jun →
cache	10–6	-0.03	23%	2 Jun →
mirage	10–13	0.05	12%	1 Jun →
dust2	13–6	0.10	16%	31 May →