papashark — CS2 Stats

76561199123863728[U:1:1163598000]Steam profile ↗

3,478Tracked matches56%Win rate2021Tracked since

2,137Hours in CS

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating23,729Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#4370 of 20043 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning62

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLLLLTWTWW

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

Player DNA

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

Aim9.1

Aggression10.0

Utility6.7

Positioning6.2

Opening Duels4.1

Clutch2.6

Sharp aimer

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 97% playstyle similarity

Most alike: utility contribution, opening-duel success.

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.

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

Positioning6.2

Utility6.7

Mechanics8.3

Opening Duels4.1

Win Impact6.9

Composite 7.5/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time500ms−55ms

first ⅓ avg 555ms → last ⅓ avg 500ms

Headshot accuracy25.3%+0.4%

first ⅓ avg 24.9% → last ⅓ avg 25.3%

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

0.18Best rating — dust2 13–8

13–0Biggest win — dust2

6Longest win streak

7–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 70% over 10infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	71	39–32	55%	0.04
nuke	S	10	7–3	70%	0.04
inferno	D	7	1–6	14%	-0.00
mirage	D	5	1–4	20%	-0.01
ancient	—	4	3–1	75%	0.02
cache	—	2	1–1	50%	-0.03
anubis	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,678Lifetime kills

1.17K/D · Top 50% of Pink band

5,315Matches

52.4%Match win rate · Top 25% of Pink band

51.5%Headshot % · Top 50% of Pink band

7.8%Shot accuracy

17,549MVPs

2,137Hours (in match)

6,124Bombs planted

1,809Bombs defused

Most-used weapons

AK-4729,865

M4A4 / M4A1-S19,604

AWP16,760

P2000 / USP-S6,676

SSG 086,419

Desert Eagle6,201

Glock-184,594

Galil AR4,498

MAC-103,430

MP93,363

Lifetime map wins

39,556dust2

5,251inferno

3,287nuke

544vertigo

151train

70office

16cbble

8italy

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

Faceit stats

Combat

36Matches

69%Win rate

1.32Avg K/D

107.0ADR

48%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	75%	1.36	19.8
Ancient	6	50%	1.16	16.7
Dust2	6	100%	1.75	15.2
Inferno	5	60%	1.34	19.2
Mirage	5	60%	1.12	18.2
Vertigo	4	50%	0.98	16.3
Nuke	2	100%	1.42	20.0

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.

24.8%Headshot accuracy

37.3%Accuracy (enemy spotted)

35.5%Spray accuracy

87.4%Counter-strafing

8.1°Preaim

497msReaction time

47.9%T opening success

45.0%CT opening success

0.60Enemies flashed / flash

11.5%Flash assists

11.93HE damage / grenade

12.99Flashes / match

Recommended for you

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.

14% 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
ancient	13–8	0.09	16%	29 Aug →
dust2	9–13	0.01	29%	29 Aug →
inferno	10–13	-0.03	26%	26 Aug →
dust2	5–13	-0.04	27%	26 Aug →
dust2	3–13	-0.03	28%	26 Aug →
dust2	12–12	0.01	14%	26 Aug →
dust2	13–7	0.09	21%	25 Aug →
dust2	12–12	-0.05	22%	25 Aug →
dust2	13–4	0.13	42%	25 Aug →
dust2	13–8	0.07	29%	24 Aug →
dust2	13–7	0.11	30%	24 Aug →
dust2	13–11	0.07	20%	24 Aug →
dust2	0–11	-0.00	29%	23 Aug →
dust2	13–9	0.01	24%	23 Aug →
dust2	9–13	-0.07	11%	23 Aug →
nuke	10–13	-0.06	19%	23 Aug →
dust2	10–13	0.04	27%	23 Aug →
dust2	13–10	0.11	32%	23 Aug →
ancient	16–12	0.02	20%	23 Aug →
mirage	10–13	-0.05	18%	23 Aug →
dust2	13–10	0.07	24%	22 Aug →
dust2	13–4	0.11	37%	22 Aug →
dust2	16–12	0.07	31%	22 Aug →
dust2	12–12	0.09	33%	22 Aug →
dust2	6–13	0.04	27%	21 Aug →
dust2	5–13	-0.02	20%	21 Aug →
anubis	7–13	-0.03	10%	21 Aug →
dust2	13–11	0.07	31%	21 Aug →
cache	16–12	-0.02	21%	21 Aug →
dust2	13–7	0.02	39%	21 Aug →
inferno	13–5	0.07	25%	19 Aug →
nuke	13–6	0.13	32%	19 Aug →
nuke	13–6	0.04	23%	17 Aug →
ancient	14–16	-0.01	20%	17 Aug →
dust2	13–3	0.08	20%	17 Aug →
nuke	9–13	0.00	20%	17 Aug →
dust2	13–8	0.05	22%	17 Aug →
nuke	13–3	0.13	27%	17 Aug →
dust2	13–3	0.18	23%	17 Aug →
dust2	11–13	0.05	23%	17 Aug →
inferno	6–13	0.01	26%	17 Aug →
mirage	10–13	-0.01	43%	17 Aug →
dust2	13–6	0.16	35%	17 Aug →
mirage	8–13	-0.03	29%	17 Aug →
dust2	13–10	0.03	24%	17 Aug →
inferno	8–13	-0.03	22%	17 Aug →
nuke	13–11	0.04	18%	17 Aug →
ancient	13–10	-0.02	20%	14 Aug →
dust2	13–2	0.15	45%	13 Aug →
inferno	8–13	-0.03	17%	12 Aug →
dust2	13–10	0.01	21%	12 Aug →
dust2	13–8	0.18	36%	10 Aug →
dust2	13–2	0.02	42%	10 Aug →
dust2	13–5	0.08	27%	10 Aug →
nuke	13–16	-0.01	29%	10 Aug →
mirage	13–10	0.07	26%	10 Aug →
inferno	7–13	-0.02	28%	10 Aug →
dust2	13–3	0.08	20%	10 Aug →
dust2	8–13	-0.02	36%	10 Aug →
dust2	11–13	-0.00	19%	7 Aug →
dust2	12–12	0.03	48%	7 Aug →
dust2	6–13	-0.05	22%	3 Aug →
dust2	13–6	0.02	30%	3 Aug →
dust2	14–16	0.03	23%	3 Aug →
dust2	5–13	-0.05	21%	3 Aug →
dust2	13–11	0.14	21%	2 Aug →
dust2	3–13	-0.07	7%	2 Aug →
dust2	13–11	0.05	19%	2 Aug →
inferno	10–13	0.02	23%	2 Aug →
dust2	9–13	0.06	24%	1 Aug →
cache	8–13	-0.04	16%	1 Aug →
dust2	13–9	0.12	25%	1 Aug →
dust2	13–11	0.04	12%	1 Aug →
dust2	5–13	0.06	23%	1 Aug →
nuke	16–12	0.02	11%	29 Jul →
dust2	13–7	0.02	17%	29 Jul →
dust2	13–0	0.06	17%	29 Jul →
dust2	13–8	0.01	38%	29 Jul →
dust2	13–3	0.04	28%	28 Jul →
dust2	8–13	-0.00	36%	28 Jul →
dust2	13–6	-0.00	17%	27 Jul →
dust2	13–0	0.00	30%	27 Jul →
dust2	13–5	0.06	30%	27 Jul →
dust2	11–13	-0.03	21%	27 Jul →
dust2	9–13	0.06	16%	27 Jul →
dust2	6–13	-0.01	23%	26 Jul →
dust2	12–16	0.02	32%	25 Jul →
dust2	3–13	0.02	29%	25 Jul →
mirage	8–13	-0.02	23%	25 Jul →
dust2	13–5	0.01	33%	24 Jul →
nuke	13–6	0.02	27%	24 Jul →
dust2	10–13	-0.01	20%	21 Jul →
dust2	13–4	0.03	26%	20 Jul →
dust2	13–8	0.05	41%	20 Jul →
dust2	13–3	0.02	22%	20 Jul →
dust2	11–13	0.05	22%	20 Jul →
dust2	10–13	0.08	40%	20 Jul →
dust2	7–13	-0.05	25%	20 Jul →
dust2	4–13	-0.07	29%	20 Jul →
nuke	13–11	0.07	26%	19 Jul →