Sh4rP — CS2 Stats

CA76561197960456502[U:1:190774]Steam profile ↗✓ No bans

1,579Tracked matches45%Win rate2020Tracked since

9,948Hours in CS10Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating24,847Top 25% of 44,590 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)

CSDB Leaderboard#7568 of 57610 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=9,423), 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	Pink band median	Red band median	vs Red band
Headshot rate	58.4%	47.1%	49.8%	above
Shot accuracy	20.7%	12.8%	13.4%	above
Kill/death ratio	1.84	1.08	1.12	above
Match win rate	48.1%	46.7%	48.6%	meets

Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim94

Positioning68

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWLWWLLLWT

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

Player DNA

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

Aim9.4

Aggression10.0

Utility3.4

Positioning6.8

Opening Duels5.7

Clutch4.0

Sharp aimerLimited utility dependence

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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 94 — the mechanical foundation is a clear strength.

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

Aim9.4

Positioning6.8

Utility3.4

Mechanics8.3

Opening Duels5.7

Win Impact3.3

Composite 7.0/10 (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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time553ms−15ms

first ⅓ avg 568ms → last ⅓ avg 553ms

Headshot accuracy31.6%+6.4%

first ⅓ avg 25.1% → last ⅓ avg 31.6%

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

0.19Best rating — cache 12–12

13–1Biggest win — ancient

7Longest win streak

9–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	43	21–22	49%	0.03
mirage	D	15	5–10	33%	0.03
ancient	B	13	7–6	54%	0.01
cache	D	12	4–8	33%	0.02
anubis	S	9	6–3	67%	0.00
inferno	D	7	2–5	29%	0.01
overpass	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

522,743Lifetime kills

1.84K/D · Top 5% of Pink band

10,385Matches

48.1%Match win rate · Top 50% of Pink band

58.4%Headshot % · Top 25% of Pink band

20.7%Shot accuracy · Top 5% of Pink band

33,046MVPs

4,967Hours (in match)

9,548Bombs planted

3,196Bombs defused

Most-used weapons

AK-47158,544

AWP88,458

M4A4 / M4A1-S77,773

Desert Eagle43,756

P2000 / USP-S32,210

P25028,430

Glock-1814,361

Five-SeveN11,730

P908,936

MP95,528

Lifetime map wins

42,447dust2

8,785inferno

4,644nuke

2,408train

1,825cbble

1,700vertigo

764office

447dust

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

Faceit stats

Combat

328Matches

52%Win rate

1.17Avg K/D

75.7ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

19%1v2 clutch win

17Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	56	39%	0.94	14.7
Mirage	56	61%	1.08	16.4
Anubis	53	34%	0.92	13.6
Vertigo	37	43%	1.00	15.1
Inferno	33	61%	1.10	14.7
Dust2	33	58%	1.14	16.1
Overpass	20	65%	1.47	17.6
Nuke	3	33%	0.80	15.7

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.

31.5%Headshot accuracy

37.9%Accuracy (enemy spotted)

39.4%Spray accuracy

87.5%Counter-strafing

8.6°Preaim

541msReaction time

48.9%T opening success

56.8%CT opening success

0.44Enemies flashed / flash

8.6%Flash assists

8.89HE damage / grenade

2.42Flashes / 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 0.4379 — 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.

29% win rate across 7 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	9–13	0.03	40%	28 Aug →
dust2	13–9	0.05	32%	28 Aug →
anubis	9–13	-0.02	25%	27 Aug →
ancient	13–11	0.05	24%	26 Aug →
ancient	13–1	-0.03	23%	25 Aug →
cache	10–13	-0.02	63%	25 Aug →
dust2	4–13	0.01	17%	25 Aug →
dust2	3–13	-0.07	21%	24 Aug →
cache	13–10	0.01	29%	20 Aug →
dust2	12–12	-0.04	33%	20 Aug →
anubis	13–10	0.00	18%	18 Aug →
ancient	6–13	-0.02	15%	18 Aug →
dust2	2–13	0.00	27%	13 Aug →
inferno	6–13	-0.03	21%	13 Aug →
dust2	10–13	-0.02	19%	13 Aug →
mirage	13–10	0.05	43%	11 Aug →
ancient	11–13	-0.00	22%	11 Aug →
dust2	13–11	0.01	38%	8 Aug →
mirage	13–4	0.15	35%	8 Aug →
dust2	13–11	0.11	31%	8 Aug →
ancient	13–10	0.11	28%	6 Aug →
anubis	0–13	-0.10	50%	6 Aug →
ancient	9–13	-0.01	64%	5 Aug →
anubis	13–10	0.15	38%	4 Aug →
cache	11–13	-0.02	35%	4 Aug →
mirage	7–13	-0.01	42%	4 Aug →
anubis	13–9	-0.06	29%	3 Aug →
dust2	10–13	-0.02	44%	28 Jul →
dust2	13–8	-0.05	18%	28 Jul →
mirage	4–13	-0.01	12%	28 Jul →
ancient	6–13	-0.08	28%	28 Jul →
cache	5–13	0.02	50%	23 Jul →
dust2	13–5	0.00	29%	21 Jul →
dust2	0–13	-0.08	0%	21 Jul →
dust2	8–1	0.02	50%	21 Jul →
ancient	13–7	0.03	37%	16 Jul →
dust2	13–9	0.04	33%	16 Jul →
dust2	13–11	0.03	24%	9 Jul →
dust2	13–3	0.11	22%	12 May →
mirage	13–8	0.07	22%	8 May →
cache	13–1	0.12	29%	30 Apr →
cache	12–12	0.19	25%	30 Apr →
cache	12–12	0.04	17%	30 Apr →
cache	4–13	0.02	18%	30 Apr →
cache	13–11	0.01	27%	29 Apr →
cache	13–11	-0.01	25%	29 Apr →
cache	3–13	-0.07	15%	29 Apr →
cache	3–13	-0.03	33%	29 Apr →
mirage	2–13	-0.05	10%	28 Apr →
inferno	13–8	0.02	17%	28 Apr →
mirage	10–13	-0.02	27%	28 Apr →
ancient	13–4	0.07	13%	28 Apr →
dust2	13–10	0.06	18%	27 Apr →
dust2	9–13	-0.00	26%	26 Apr →
dust2	13–8	-0.05	15%	26 Apr →
dust2	7–13	-0.03	24%	24 Apr →
dust2	5–13	0.01	14%	24 Apr →
dust2	9–13	0.01	20%	23 Apr →
dust2	13–6	0.01	14%	22 Apr →
mirage	6–13	0.12	17%	22 Apr →
anubis	13–1	0.09	67%	22 Apr →
anubis	13–11	-0.03	19%	22 Apr →
inferno	13–4	0.04	25%	22 Apr →
dust2	9–13	0.12	25%	16 Apr →
dust2	5–13	-0.05	17%	16 Apr →
dust2	13–5	0.10	26%	16 Apr →
ancient	13–4	0.06	30%	15 Apr →
mirage	11–13	0.02	35%	15 Apr →
dust2	13–10	0.07	19%	15 Apr →
dust2	16–12	0.03	24%	14 Apr →
overpass	13–9	0.07	24%	13 Apr →
dust2	8–13	-0.03	20%	13 Apr →
ancient	13–16	0.01	15%	13 Apr →
dust2	11–13	0.01	37%	13 Apr →
dust2	13–9	0.12	43%	11 Apr →
dust2	13–8	-0.01	22%	11 Apr →
dust2	13–2	0.09	40%	10 Apr →
dust2	13–8	0.04	19%	6 Apr →
dust2	6–13	0.02	30%	6 Apr →
inferno	11–13	-0.00	19%	6 Apr →
inferno	8–13	-0.02	23%	6 Apr →
mirage	10–13	0.04	22%	6 Apr →
mirage	13–11	0.03	26%	27 Mar →
mirage	12–16	0.03	21%	24 Mar →
mirage	3–13	0.02	21%	24 Mar →
dust2	5–13	-0.01	29%	24 Mar →
dust2	13–8	0.14	33%	24 Mar →
dust2	11–13	-0.00	32%	20 Mar →
dust2	10–13	0.10	25%	20 Mar →
anubis	5–13	-0.04	15%	16 Feb →
inferno	9–13	0.05	31%	10 Feb →
dust2	10–13	0.07	24%	9 Feb →
dust2	12–12	0.06	13%	9 Feb →
inferno	10–13	0.03	12%	7 Feb →
ancient	13–11	0.03	27%	6 Feb →
anubis	13–4	0.04	27%	6 Feb →
dust2	13–2	0.09	37%	6 Feb →
mirage	13–10	-0.05	16%	5 Feb →
ancient	4–13	-0.07	32%	5 Feb →
mirage	9–13	-0.01	16%	3 Feb →