h4PpY — CS2 Stats

DE76561197970640425[U:1:10374697]Steam profile ↗✓ No bans

3,477Tracked matches47%Win rate2020Tracked since

4,620Hours in CS13Hrs last 2 wks

CSDB Rating7.1 StrongEntry Fragger

Premier CS Rating24,484Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#4279 of 25285 tracked

FaceitLevel 10 · 2,498 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

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	39.6%	52.0%
Shot accuracy	13.3%	13.7%
Kill/death ratio	1.07	1.08
Match win rate	52.0%	48.8%

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Performance scores

Aim79

Positioning74

Utility65

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLWLWWLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.9

Aggression9.9

Utility6.5

Positioning7.4

Opening Duels6.1

Clutch3.6

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 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim7.9

Positioning7.4

Utility6.5

Mechanics7.5

Opening Duels6.1

Win Impact3.9

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time524ms−57ms

first ⅓ avg 581ms → last ⅓ avg 524ms

Headshot accuracy12.2%+0.2%

first ⅓ avg 12.0% → last ⅓ avg 12.2%

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

0.16Best rating — ancient 13–10

13–2Biggest win — dust2

6Longest win streak

L2Current streak

13–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 87% over 15cacheWeakest map · 33% over 24

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	25	14–11	56%	0.01
cache	D	24	8–16	33%	-0.01
ancient	B	22	11–11	50%	0.02
nuke	S	15	13–2	87%	0.04
dust2	C	7	3–4	43%	-0.02
inferno	—	3	1–2	33%	-0.00
mirage	—	2	1–1	50%	0.02
vertigo	—	1	0–1	0%	0.01
shelter	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Lifetime stats

144,030Lifetime kills

1.07K/D

5,455Matches

52.0%Match win rate · Top 25% of Level 10 players

39.6%Headshot %

13.3%Shot accuracy

14,627MVPs

3,225Hours (in match)

7,678Bombs planted

1,544Bombs defused

Most-used weapons

AK-4755,558

M4A4 / M4A1-S33,100

AWP16,686

P2000 / USP-S6,964

Glock-184,415

Desert Eagle3,035

Galil AR3,034

Five-SeveN2,892

MP92,573

FAMAS2,211

Lifetime map wins

9,493nuke

7,498dust2

4,743inferno

4,284vertigo

2,712train

457cbble

370office

34italy

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

Faceit stats

Combat

2,380Matches

51%Win rate

1.09Avg K/D

85.8ADR

38%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	253	49%	1.12	17.1
Anubis	224	51%	1.15	17.5
Nuke	215	59%	1.23	18.4
Overpass	73	60%	1.14	17.0
Train	66	48%	1.22	18.6
Mirage	62	47%	0.91	13.5
Dust2	51	29%	0.96	14.8
Inferno	44	45%	1.06	17.5

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.

12.2%Headshot accuracy

39.1%Accuracy (enemy spotted)

40.9%Spray accuracy

83.9%Counter-strafing

9.4°Preaim

537msReaction time

46.8%T opening success

61.7%CT opening success

0.60Enemies flashed / flash

7.0%Flash assists

8.78HE damage / grenade

10.89Flashes / 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 12.2005% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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 24 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.02	25%	27 Aug →
anubis	8–13	-0.02	14%	27 Aug →
nuke	16–14	0.03	7%	25 Aug →
dust2	11–13	-0.01	11%	20 Aug →
anubis	13–6	0.07	9%	20 Aug →
nuke	13–5	0.05	11%	20 Aug →
ancient	11–13	0.03	6%	20 Aug →
anubis	10–13	0.02	16%	19 Aug →
cache	0–2	-0.08	0%	19 Aug →
ancient	14–16	-0.06	7%	17 Aug →
anubis	13–6	-0.01	15%	17 Aug →
cache	13–11	0.11	8%	17 Aug →
vertigo	7–13	0.01	11%	17 Aug →
nuke	13–3	0.00	11%	17 Aug →
ancient	4–13	-0.06	18%	10 Aug →
cache	13–11	-0.01	17%	10 Aug →
anubis	13–6	-0.01	3%	10 Aug →
nuke	14–16	0.06	12%	9 Aug →
anubis	12–16	-0.00	5%	9 Aug →
anubis	9–13	0.05	8%	6 Aug →
ancient	13–9	0.04	21%	6 Aug →
inferno	13–4	0.06	17%	4 Aug →
nuke	11–13	0.06	5%	4 Aug →
anubis	9–13	0.00	16%	4 Aug →
cache	7–13	-0.01	16%	4 Aug →
anubis	13–6	0.09	11%	4 Aug →
ancient	13–8	0.02	16%	4 Aug →
dust2	13–2	0.05	33%	3 Aug →
nuke	13–8	0.07	19%	3 Aug →
cache	5–13	-0.10	0%	3 Aug →
anubis	13–7	0.00	8%	3 Aug →
mirage	9–13	0.04	10%	3 Aug →
anubis	8–13	-0.03	16%	3 Aug →
anubis	13–11	0.04	12%	2 Aug →
nuke	13–8	0.03	4%	2 Aug →
cache	5–13	-0.04	21%	2 Aug →
cache	13–8	0.01	5%	1 Aug →
anubis	7–13	-0.04	15%	1 Aug →
cache	7–13	0.04	8%	1 Aug →
nuke	13–7	0.03	18%	31 Jul →
cache	23–25	-0.02	12%	31 Jul →
dust2	6–13	-0.02	23%	31 Jul →
cache	9–13	-0.00	8%	31 Jul →
ancient	13–9	0.05	10%	31 Jul →
shelter	8–13	-0.02	15%	29 Jul →
nuke	16–14	0.04	13%	29 Jul →
inferno	1–13	-0.06	10%	28 Jul →
ancient	13–10	0.08	12%	28 Jul →
ancient	9–13	0.06	20%	28 Jul →
nuke	13–4	0.03	21%	28 Jul →
ancient	8–13	-0.04	10%	28 Jul →
anubis	13–11	-0.06	8%	27 Jul →
ancient	5–13	-0.06	10%	27 Jul →
nuke	13–6	0.04	15%	26 Jul →
ancient	9–13	0.04	14%	26 Jul →
anubis	13–16	0.03	10%	26 Jul →
ancient	16–19	0.01	9%	26 Jul →
ancient	13–8	0.03	10%	22 Jul →
nuke	13–11	0.13	13%	22 Jul →
cache	9–13	-0.04	8%	22 Jul →
anubis	13–11	0.01	7%	21 Jul →
ancient	13–7	0.03	10%	21 Jul →
dust2	13–8	-0.04	10%	17 Jul →
ancient	13–10	0.02	11%	17 Jul →
ancient	13–9	0.06	8%	17 Jul →
anubis	13–11	0.05	11%	17 Jul →
ancient	15–15	-0.01	8%	17 Jul →
cache	7–13	0.02	13%	16 Jul →
anubis	13–10	-0.04	12%	16 Jul →
cache	6–13	-0.05	11%	16 Jul →
anubis	8–13	0.06	11%	16 Jul →
cache	13–5	0.02	11%	13 Jul →
nuke	13–10	-0.07	12%	13 Jul →
ancient	13–5	0.01	14%	13 Jul →
dust2	13–7	-0.00	19%	13 Jul →
nuke	13–7	0.03	10%	12 Jul →
nuke	13–4	0.02	15%	12 Jul →
cache	7–13	0.03	16%	12 Jul →
cache	11–13	0.05	23%	9 Jul →
cache	9–13	-0.02	12%	9 Jul →
cache	13–8	-0.03	0%	9 Jul →
mirage	13–8	-0.01	7%	8 Jul →
ancient	13–10	0.16	15%	8 Jul →
anubis	9–13	0.03	12%	8 Jul →
anubis	13–11	0.04	10%	8 Jul →
anubis	16–14	-0.04	9%	7 Jul →
dust2	9–13	-0.05	15%	7 Jul →
cache	10–13	-0.01	12%	7 Jul →
ancient	6–13	-0.02	4%	7 Jul →
cache	19–17	0.01	9%	6 Jul →
anubis	13–7	0.13	16%	5 Jul →
anubis	13–9	0.04	11%	5 Jul →
ancient	10–13	-0.02	12%	5 Jul →
dust2	4–13	-0.04	13%	5 Jul →
cache	13–7	0.07	13%	5 Jul →
anubis	6–13	-0.07	8%	5 Jul →
cache	10–13	-0.01	16%	5 Jul →
cache	4–13	-0.03	19%	5 Jul →
ancient	13–8	0.01	6%	4 Jul →
cache	13–11	-0.04	11%	4 Jul →