❄Half — CS2 Stats

76561198455078990[U:1:494813262]

1,665Tracked matches59%Win rate2021Tracked since

5,742Hours in CS25Hrs last 2 wks

CSDB Rating7.9 StrongEntry Fragger

Ladder ranks via Leetify

Performance scores

Aim91

Positioning76

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateLLLWTLWWWW

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.1

Aggression10.0

Utility5.7

Positioning7.6

Opening Duels6.1

Clutch3.8

Sharp aimerStrong 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 s1mple 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 68% 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

Aim9.1

Positioning7.6

Utility5.7

Mechanics6.9

Opening Duels6.1

Win Impact8.1

Composite 7.9/10 (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 rating0.08+0.07

first ⅓ avg 0.00 → last ⅓ avg 0.08

Reaction time531ms−23ms

first ⅓ avg 554ms → last ⅓ avg 531ms

Headshot accuracy25.6%+6.9%

first ⅓ avg 18.7% → last ⅓ avg 25.6%

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

0.22Best rating — ancient 12–12

13–0Biggest win — anubis

9Longest win streak

L3Current streak

6–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

vertigoBest map · 71% over 7nukeWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	20	7–13	35%	0.05
ancient	B	15	7–8	47%	0.00
nuke	D	15	5–10	33%	0.04
mirage	A	11	6–5	55%	0.03
cache	A	10	6–4	60%	0.06
inferno	A	9	5–4	56%	0.02
vertigo	S	7	5–2	71%	0.10
dust2	D	6	2–4	33%	0.02
overpass	—	3	2–1	67%	0.01
boulder	—	1	0–1	0%	0.01
stronghold	—	1	1–0	100%	0.14
train	—	1	1–0	100%	0.10
italy	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

260,909Lifetime kills

1.10K/D · Top 50% of tracked players

6,797Matches

48.1%Match win rate · Top 50% of tracked players

56.4%Headshot % · Top 25% of tracked players

10.6%Shot accuracy

32,265MVPs

8,032Hours (in match)

7,270Bombs planted

6,366Bombs defused

Most-used weapons

AK-47104,173

M4A4 / M4A1-S38,223

P2000 / USP-S22,814

AWP20,691

Desert Eagle19,592

Glock-189,896

MP95,226

Galil AR3,321

SSG 083,304

MAC-103,299

Lifetime map wins

11,020inferno

10,523vertigo

9,286nuke

7,590dust2

2,584train

561lake

356cbble

198safehouse

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

Faceit stats

Combat

1,280Matches

57%Win rate

1.15Avg K/D

79.2ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	200	60%	1.13	16.2
Nuke	176	50%	1.09	15.9
Anubis	154	55%	1.13	16.4
Mirage	74	50%	1.03	15.5
Inferno	67	60%	1.11	14.9
Overpass	59	69%	1.19	15.4
Vertigo	55	55%	1.12	16.8
Dust2	39	49%	1.11	14.7

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.

25.0%Headshot accuracy

40.1%Accuracy (enemy spotted)

42.7%Spray accuracy

81.2%Counter-strafing

9.4°Preaim

515msReaction time

40.8%T opening success

68.1%CT opening success

0.55Enemies flashed / flash

6.6%Flash assists

7.85HE damage / grenade

8.70Flashes / match

Recommended for you

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.

33% win rate across 15 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
anubis	10–13	0.11	25%	24 Aug →
mirage	13–16	0.08	22%	16 Aug →
anubis	11–13	0.01	26%	16 Aug →
inferno	13–11	0.10	30%	11 Aug →
ancient	12–12	0.22	28%	10 Aug →
vertigo	9–13	0.02	31%	10 Aug →
mirage	13–6	0.17	21%	10 Aug →
nuke	13–4	0.21	27%	7 Aug →
mirage	13–1	0.09	21%	16 Jul →
anubis	16–14	-0.01	6%	15 Jul →
ancient	13–4	0.05	20%	15 Jul →
cache	13–3	0.06	36%	15 Jul →
ancient	11–5	-0.00	26%	15 Jul →
nuke	9–13	0.02	27%	13 Jul →
boulder	10–13	0.01	38%	13 Jul →
dust2	8–13	0.07	18%	9 Jul →
anubis	2–13	0.07	19%	7 Jul →
cache	13–8	0.15	22%	5 Jul →
cache	13–4	0.06	29%	4 Jul →
inferno	13–10	0.01	20%	29 Jun →
anubis	13–16	0.02	23%	22 Jun →
anubis	13–9	0.18	35%	22 Jun →
ancient	13–4	0.03	23%	13 Jun →
cache	13–6	0.07	19%	12 Jun →
overpass	15–15	-0.02	23%	11 Jun →
nuke	0–5	0.06	21%	10 Jun →
vertigo	12–12	0.05	18%	3 Jun →
anubis	13–10	0.10	50%	31 May →
stronghold	13–10	0.14	29%	25 May →
nuke	1–13	-0.05	15%	24 May →
nuke	9–13	0.18	23%	22 May →
dust2	13–3	0.09	36%	22 May →
inferno	6–9	0.13	37%	19 May →
anubis	13–10	-0.02	15%	18 May →
anubis	9–13	0.09	18%	17 May →
mirage	13–7	0.00	20%	14 May →
ancient	13–9	0.05	20%	14 May →
ancient	13–3	0.02	13%	14 May →
anubis	13–1	0.12	28%	14 May →
inferno	16–14	0.02	32%	13 May →
ancient	13–3	0.03	11%	13 May →
cache	3–13	0.07	25%	11 May →
ancient	0–13	-0.08	20%	9 May →
nuke	13–1	0.02	30%	9 May →
cache	5–13	0.07	33%	6 May →
anubis	12–12	0.18	20%	6 May →
train	13–11	0.10	33%	6 May →
mirage	12–12	0.08	25%	3 May →
inferno	13–10	0.01	20%	3 May →
ancient	12–16	-0.02	19%	3 May →
cache	12–12	0.05	22%	1 May →
dust2	8–13	0.01	30%	1 May →
cache	5–13	0.07	28%	29 Apr →
nuke	11–13	0.03	29%	29 Apr →
nuke	13–2	0.05	30%	28 Apr →
ancient	16–12	0.09	21%	27 Apr →
italy	13–10	0.09	17%	26 Apr →
nuke	13–10	0.04	31%	25 Apr →
inferno	13–3	0.05	33%	25 Apr →
dust2	13–10	0.04	29%	25 Apr →
nuke	13–10	0.11	27%	23 Apr →
vertigo	13–2	0.21	41%	23 Apr →
overpass	13–6	0.06	33%	21 Apr →
mirage	15–15	-0.00	32%	20 Apr →
dust2	8–13	-0.03	32%	19 Apr →
anubis	11–13	0.03	16%	19 Apr →
dust2	8–13	-0.03	32%	19 Apr →
anubis	11–13	0.03	16%	19 Apr →
nuke	6–13	-0.02	27%	19 Apr →
mirage	13–2	0.01	9%	19 Apr →
nuke	6–13	-0.02	27%	19 Apr →
mirage	13–2	0.01	9%	19 Apr →
ancient	3–13	-0.09	17%	19 Apr →
inferno	6–13	-0.05	26%	18 Apr →
mirage	13–4	0.08	11%	18 Apr →
ancient	5–13	-0.06	17%	18 Apr →
anubis	9–13	-0.02	21%	18 Apr →
ancient	8–13	-0.09	13%	18 Apr →
anubis	11–13	-0.01	28%	16 Apr →
vertigo	13–5	0.16	27%	12 Apr →
vertigo	13–10	0.07	14%	11 Apr →
anubis	11–13	0.01	15%	11 Apr →
anubis	13–10	0.05	20%	7 Apr →
anubis	13–0	0.09	17%	7 Apr →
cache	13–7	-0.04	19%	5 Apr →
vertigo	13–11	0.07	27%	5 Apr →
cache	13–1	0.05	27%	5 Apr →
nuke	1–13	-0.02	23%	3 Apr →
anubis	12–12	0.02	6%	1 Apr →
mirage	2–13	-0.09	11%	31 Mar →
mirage	2–13	-0.09	11%	31 Mar →
ancient	5–13	-0.03	4%	31 Mar →
ancient	5–13	-0.03	4%	31 Mar →
inferno	10–13	-0.04	32%	31 Mar →
inferno	10–13	-0.04	32%	31 Mar →
nuke	2–13	0.03	21%	31 Mar →
nuke	2–13	0.03	21%	31 Mar →
vertigo	13–11	0.09	20%	29 Mar →
anubis	5–13	0.02	27%	26 Mar →
overpass	13–5	0.01	19%	26 Mar →