S4HK4R1ツ — CS2 Stats

FI76561198932971566[U:1:972705838]Steam profile ↗✓ No bans

1,455Tracked matches62%Win rate2020Tracked since

3,716Hours in CS44Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating19,630Purple band · top ~10% of ranked players (population est.)

CSDB Leaderboard#5677 of 11801 tracked

FaceitLevel 7 · 1,377 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning61

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLWWLWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.4

Aggression9.3

Utility5.3

Positioning6.1

Opening Duels4.3

Clutch3.8

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 device 93% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

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

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

Aim8.4

Positioning6.1

Utility5.3

Mechanics6.2

Opening Duels4.3

Win Impact9.0

Composite 6.8/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time521ms−76ms

first ⅓ avg 597ms → last ⅓ avg 521ms

Headshot accuracy26.7%−1.8%

first ⅓ avg 28.5% → last ⅓ avg 26.7%

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

0.14Best rating — dust2 13–9

13–1Biggest win — anubis

8Longest win streak

4–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 68% over 19infernoWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	21	14–7	67%	0.04
ancient	S	19	13–6	68%	0.01
inferno	C	17	7–10	41%	0.01
mirage	B	16	8–8	50%	0.04
cache	B	12	6–6	50%	0.02
dust2	A	11	6–5	55%	0.02
anubis	—	4	3–1	75%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,116Lifetime kills

0.91K/D

3,859Matches

44.2%Match win rate

57.3%Headshot % · Top 25% of tracked players

12.8%Shot accuracy · Top 50% of tracked players

11,069MVPs

2,041Hours (in match)

2,310Bombs planted

924Bombs defused

Most-used weapons

AK-4738,071

M4A4 / M4A1-S11,475

P2000 / USP-S8,315

Desert Eagle5,534

Glock-184,775

AWP4,547

MP91,438

MAC-101,133

Knife1,010

SSG 08891

Lifetime map wins

5,466nuke

5,226inferno

2,686train

1,669dust2

1,349vertigo

147lake

105cbble

62office

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

Faceit stats

Combat

846Matches

49%Win rate

1.10Avg K/D

83.3ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	117	47%	1.19	16.1
Ancient	111	50%	1.13	16.2
Nuke	109	56%	1.19	18.1
Dust2	50	34%	1.07	16.3
Inferno	44	41%	0.99	16.1
Anubis	34	56%	1.04	15.8
Overpass	32	56%	1.19	18.2
Train	25	64%	1.13	17.0

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.

26.5%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.8%Spray accuracy

77.9%Counter-strafing

8.7°Preaim

522msReaction time

42.1%T opening success

52.3%CT opening success

0.42Enemies flashed / flash

3.5%Flash assists

8.32HE damage / grenade

13.70Flashes / 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.

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 0.4151 — below the 0.5 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.

41% win rate across 17 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
dust2	11–13	-0.02	12%	26 Aug →
inferno	13–6	0.01	27%	26 Aug →
inferno	6–13	-0.02	13%	25 Aug →
mirage	13–5	0.01	15%	25 Aug →
ancient	13–10	0.02	21%	25 Aug →
nuke	2–13	-0.00	24%	25 Aug →
inferno	13–7	0.02	29%	25 Aug →
ancient	13–4	0.09	17%	25 Aug →
cache	9–13	0.00	30%	25 Aug →
inferno	10–13	0.03	19%	24 Aug →
cache	13–5	0.05	27%	24 Aug →
ancient	13–8	0.05	26%	24 Aug →
cache	13–7	0.08	28%	23 Aug →
nuke	13–7	0.13	27%	23 Aug →
nuke	13–7	0.00	20%	23 Aug →
nuke	8–13	0.04	27%	23 Aug →
ancient	13–9	-0.05	30%	23 Aug →
nuke	11–13	0.00	38%	23 Aug →
ancient	13–6	-0.02	32%	23 Aug →
dust2	15–15	0.04	18%	23 Aug →
inferno	13–16	0.07	33%	23 Aug →
ancient	13–6	0.01	36%	23 Aug →
nuke	13–10	-0.01	28%	22 Aug →
inferno	13–7	0.05	19%	22 Aug →
inferno	13–5	0.05	27%	22 Aug →
ancient	10–13	0.03	41%	22 Aug →
nuke	7–13	0.01	40%	22 Aug →
cache	7–13	-0.04	37%	22 Aug →
dust2	13–10	0.02	25%	22 Aug →
ancient	13–5	0.06	24%	22 Aug →
cache	7–13	-0.05	37%	22 Aug →
anubis	13–11	-0.00	28%	22 Aug →
nuke	13–5	0.04	25%	22 Aug →
cache	5–13	-0.00	33%	22 Aug →
mirage	8–13	0.02	29%	22 Aug →
mirage	9–13	0.01	47%	22 Aug →
mirage	8–13	0.01	32%	22 Aug →
anubis	6–13	-0.01	20%	22 Aug →
inferno	13–11	0.04	21%	21 Aug →
cache	13–6	0.01	38%	21 Aug →
nuke	13–5	0.09	25%	21 Aug →
anubis	13–1	0.07	19%	21 Aug →
mirage	13–9	0.01	35%	21 Aug →
nuke	13–7	0.04	44%	21 Aug →
nuke	13–11	0.03	38%	21 Aug →
ancient	13–4	0.03	24%	21 Aug →
cache	3–13	-0.08	41%	21 Aug →
inferno	10–13	0.01	32%	21 Aug →
nuke	13–4	0.12	45%	21 Aug →
inferno	5–13	-0.04	25%	20 Aug →
inferno	10–3	0.00	46%	20 Aug →
nuke	13–9	0.01	30%	20 Aug →
dust2	13–8	0.03	32%	20 Aug →
ancient	2–13	-0.12	12%	18 Aug →
ancient	7–13	0.02	31%	18 Aug →
nuke	13–6	0.02	28%	18 Aug →
cache	13–6	0.09	36%	14 Aug →
ancient	13–9	0.05	35%	14 Aug →
dust2	3–13	-0.04	23%	14 Aug →
inferno	5–13	-0.03	28%	14 Aug →
dust2	8–13	0.01	28%	13 Aug →
mirage	13–4	0.06	23%	13 Aug →
inferno	10–13	0.02	36%	13 Aug →
mirage	13–9	0.09	18%	13 Aug →
dust2	13–4	-0.08	34%	9 Aug →
ancient	0–13	-0.04	21%	9 Aug →
mirage	11–13	0.07	45%	8 Aug →
ancient	12–16	-0.01	34%	8 Aug →
nuke	13–4	0.12	48%	8 Aug →
inferno	5–13	-0.02	24%	8 Aug →
inferno	13–8	-0.02	26%	7 Aug →
dust2	11–13	-0.02	31%	7 Aug →
dust2	13–7	0.10	29%	7 Aug →
ancient	13–6	0.00	24%	7 Aug →
ancient	13–10	0.03	41%	7 Aug →
mirage	13–7	0.04	26%	7 Aug →
ancient	13–7	0.06	21%	7 Aug →
mirage	7–13	-0.02	50%	7 Aug →
inferno	6–13	0.04	14%	18 Jul →
mirage	8–13	0.06	22%	18 Jul →
nuke	13–5	0.10	36%	18 Jul →
dust2	13–3	0.09	30%	18 Jul →
nuke	12–16	0.05	36%	18 Jul →
nuke	2–13	-0.05	38%	18 Jul →
dust2	13–9	0.14	20%	18 Jul →
nuke	13–6	-0.01	27%	18 Jul →
nuke	13–2	0.10	19%	18 Jul →
mirage	13–8	0.10	20%	17 Jul →
mirage	13–9	0.03	32%	16 Jul →
mirage	13–9	0.08	30%	16 Jul →
cache	14–16	0.05	23%	16 Jul →
anubis	13–2	0.03	20%	16 Jul →
nuke	9–13	-0.02	17%	15 Jul →
cache	13–7	0.11	34%	15 Jul →
inferno	4–13	0.05	27%	15 Jul →
mirage	9–13	-0.01	22%	15 Jul →
cache	13–5	0.04	36%	15 Jul →
mirage	13–16	0.02	34%	14 Jul →
ancient	6–13	-0.01	20%	14 Jul →
ancient	13–11	-0.03	29%	14 Jul →