Insanity — CS2 Stats

PL76561198301924909[U:1:341659181]Steam profile ↗✓ No bans

720Tracked matches67%Win rate2021Tracked since

4,490Hours in CS30Hrs last 2 wks

CSDB Rating8.2 StrongAggressive Rifler

Premier CS Rating27,633Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#867 of 35728 tracked

FaceitLevel 10 · 2,228 ELOTop 12.4% 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=3,007), 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
Headshot rate	35.1%	52.0%
Shot accuracy	11.6%	13.7%
Kill/death ratio	1.17	1.08
Match win rate	45.3%	48.8%

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Performance scores

Aim89

Positioning71

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateWWWWWWLWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.9

Aggression10.0

Utility7.8

Positioning7.1

Opening Duels5.6

Clutch5.0

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 ZywOo 94% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning7.1

Utility7.8

Mechanics6.7

Opening Duels5.6

Win Impact10.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time503ms−67ms

first ⅓ avg 569ms → last ⅓ avg 503ms

Headshot accuracy22.7%+0.4%

first ⅓ avg 22.3% → last ⅓ avg 22.7%

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

0.31Best rating — inferno 13–1

13–0Biggest win — dust2

7Longest win streak

W6Current streak

11–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 67% over 6dust2Weakest map · 45% over 31

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.02
inferno	A	17	10–7	59%	0.06
mirage	A	16	10–6	63%	0.04
ancient	A	13	8–5	62%	0.01
cache	S	6	4–2	67%	0.04
nuke	B	6	3–3	50%	0.08
overpass	S	6	4–2	67%	0.04
anubis	—	4	3–1	75%	0.05
train	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,409Lifetime kills

1.17K/D · Top 50% of Level 10 players

7,559Matches

45.3%Match win rate

35.1%Headshot %

11.6%Shot accuracy

14,975MVPs

2,667Hours (in match)

7,218Bombs planted

1,396Bombs defused

Most-used weapons

AWP38,712

AK-4734,470

M4A4 / M4A1-S21,039

P2000 / USP-S7,225

Desert Eagle6,837

Glock-184,558

Knife4,224

SSG 083,178

P903,022

Tec-92,924

Lifetime map wins

25,971dust2

6,289inferno

1,825nuke

910train

743cbble

637vertigo

197safehouse

185office

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

Faceit stats

Combat

446Matches

58%Win rate

1.24Avg K/D

81.9ADR

46%Headshot %

Clutches & streaks

45%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	142	61%	1.11	16.4
Dust2	133	56%	1.32	17.5
Ancient	57	68%	1.23	16.3
Inferno	44	59%	1.29	16.4
Anubis	27	63%	1.32	16.8
Nuke	19	42%	1.39	17.6
Train	14	36%	1.14	19.1
Overpass	5	40%	1.53	12.2

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.

19.2%Headshot accuracy

40.4%Accuracy (enemy spotted)

39.9%Spray accuracy

80.3%Counter-strafing

8.3°Preaim

496msReaction time

40.6%T opening success

64.5%CT opening success

0.80Enemies flashed / flash

12.2%Flash assists

9.94HE damage / grenade

11.64Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

45% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	0.03	21%	26 Aug →
ancient	13–6	0.08	23%	25 Aug →
ancient	13–6	0.07	25%	25 Aug →
cache	13–9	0.02	11%	19 Aug →
ancient	13–4	0.02	19%	18 Aug →
nuke	13–8	0.14	19%	18 Aug →
dust2	10–13	0.05	35%	17 Aug →
dust2	13–1	0.12	20%	17 Aug →
overpass	2–13	-0.03	14%	16 Aug →
mirage	9–13	0.07	18%	16 Aug →
dust2	13–4	0.11	19%	13 Aug →
dust2	12–8	0.09	24%	12 Aug →
inferno	11–13	0.05	24%	12 Aug →
dust2	13–8	0.04	9%	11 Aug →
cache	13–3	0.09	48%	11 Aug →
ancient	13–8	0.13	17%	11 Aug →
mirage	16–13	0.04	10%	6 Aug →
dust2	13–2	0.11	21%	6 Aug →
dust2	13–10	0.07	15%	4 Aug →
inferno	13–9	0.15	21%	4 Aug →
dust2	7–13	-0.07	15%	2 Aug →
mirage	10–13	0.07	13%	1 Aug →
ancient	13–11	-0.01	10%	26 Jul →
dust2	13–9	0.01	27%	26 Jul →
ancient	13–7	0.02	15%	26 Jul →
mirage	13–8	0.05	22%	25 Jul →
nuke	11–13	0.07	14%	25 Jul →
inferno	3–13	-0.05	21%	25 Jul →
inferno	9–13	0.02	22%	25 Jul →
mirage	11–13	0.05	15%	24 Jul →
cache	13–4	-0.01	36%	23 Jul →
dust2	13–0	0.05	75%	23 Jul →
dust2	1–6	-0.01	50%	23 Jul →
ancient	13–9	0.01	13%	21 Jul →
anubis	13–10	0.04	18%	18 Jul →
mirage	16–14	0.06	16%	18 Jul →
nuke	0–6	-0.00	0%	18 Jul →
dust2	13–11	0.04	28%	14 Jul →
dust2	4–13	-0.01	29%	14 Jul →
inferno	13–8	0.02	22%	13 Jul →
dust2	4–13	0.01	38%	11 Jul →
mirage	13–3	0.08	24%	11 Jul →
nuke	9–13	0.06	22%	10 Jul →
inferno	13–11	0.06	28%	10 Jul →
ancient	13–4	0.02	12%	5 Jul →
dust2	6–13	-0.02	32%	2 Jul →
nuke	13–5	0.19	19%	28 Jun →
overpass	13–11	0.06	19%	28 Jun →
anubis	13–4	0.05	22%	25 Jun →
overpass	13–8	-0.02	22%	22 Jun →
ancient	2–13	-0.12	7%	15 Jun →
inferno	13–0	0.04	45%	15 Jun →
mirage	5–4	-0.02	6%	15 Jun →
inferno	13–1	0.04	9%	15 Jun →
anubis	5–0	0.07	33%	15 Jun →
dust2	13–9	-0.00	14%	12 Jun →
mirage	13–5	0.01	15%	8 Jun →
dust2	4–13	-0.07	33%	5 Jun →
dust2	12–12	0.02	20%	4 Jun →
dust2	13–10	-0.01	14%	2 Jun →
mirage	13–11	0.04	23%	29 May →
ancient	10–13	-0.06	10%	27 May →
anubis	5–13	0.05	25%	18 May →
inferno	13–9	0.01	21%	16 May →
dust2	10–13	0.02	19%	16 May →
dust2	12–12	0.05	20%	13 May →
inferno	7–13	0.05	30%	13 May →
mirage	13–9	0.00	21%	11 May →
dust2	7–13	-0.01	14%	10 May →
overpass	13–11	0.05	31%	8 May →
ancient	15–15	0.08	16%	5 May →
inferno	6–13	-0.03	21%	5 May →
dust2	0–13	0.03	19%	5 May →
nuke	13–10	0.03	13%	4 May →
inferno	13–7	0.15	24%	4 May →
dust2	5–13	-0.08	15%	2 May →
inferno	16–13	0.09	26%	30 Apr →
cache	1–13	0.01	32%	29 Apr →
cache	5–13	0.06	17%	28 Apr →
cache	13–8	0.09	26%	28 Apr →
dust2	11–13	0.01	16%	28 Apr →
ancient	8–13	-0.06	23%	23 Apr →
mirage	5–13	0.05	26%	23 Apr →
inferno	12–12	0.07	56%	21 Apr →
dust2	2–13	-0.05	18%	21 Apr →
mirage	2–13	0.03	18%	21 Apr →
inferno	13–1	0.31	30%	21 Apr →
dust2	12–12	0.14	16%	21 Apr →
overpass	13–6	0.12	26%	20 Apr →
inferno	5–13	0.03	17%	18 Apr →
mirage	7–13	0.03	23%	17 Apr →
ancient	10–13	-0.02	15%	14 Apr →
mirage	13–6	0.05	20%	12 Apr →
dust2	13–16	-0.00	36%	5 Apr →
dust2	13–11	0.04	36%	30 Mar →
mirage	13–11	0.03	17%	19 Mar →
train	6–13	0.06	17%	12 Mar →
overpass	9–13	0.07	13%	12 Mar →
dust2	16–14	0.05	20%	10 Mar →
inferno	13–4	0.02	18%	9 Mar →