S1mple Pork — CS2 Stats

UA76561199140592258[U:1:1180326530]Steam profile ↗✓ No bans

1,911Tracked matches37%Win rate2022Tracked since

1,891Hours in CS22Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating20,106Pink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#8417 of 19779 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning60

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLWWWWWLLW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating

Player DNA

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

Aim8.9

Aggression9.1

Utility5.3

Positioning6.0

Opening Duels5.4

Clutch0.0

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 donk 93% playstyle similarity

Most alike: opening-fight frequency, 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 89 — 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

Aim8.9

Positioning6.0

Utility5.3

Mechanics7.4

Opening Duels5.4

Win Impact0.6

Composite 6.5/10 (Solid), 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 rating0.05+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time476ms−48ms

first ⅓ avg 523ms → last ⅓ avg 476ms

Headshot accuracy17.3%+0.5%

first ⅓ avg 16.8% → last ⅓ avg 17.3%

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

0.21Best rating — inferno 13–6

13–1Biggest win — inferno

8Longest win streak

L2Current streak

9–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 71% over 7anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	43	28–15	65%	0.04
mirage	C	15	6–9	40%	0.04
nuke	B	15	7–8	47%	0.05
inferno	A	12	7–5	58%	0.09
ancient	S	7	5–2	71%	0.04
anubis	D	5	1–4	20%	0.06
cache	—	2	0–2	0%	-0.00
office	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,112Lifetime kills

1.13K/D · Top 50% of Pink band

2,838Matches

49.8%Match win rate · Top 25% of Pink band

43.9%Headshot %

5.2%Shot accuracy

7,102MVPs

871Hours (in match)

1,754Bombs planted

502Bombs defused

Most-used weapons

AWP9,892

AK-479,852

M4A4 / M4A1-S6,223

SSG 082,650

P2000 / USP-S2,228

Glock-182,025

Desert Eagle1,829

Galil AR1,513

P901,297

MP91,147

Lifetime map wins

18,165dust2

2,138inferno

710nuke

411vertigo

171office

78italy

70militia

49assault

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

Faceit stats

Combat

1Matches

0%Win rate

0.54Avg K/D

46.1ADR

43%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

17.5%Headshot accuracy

39.3%Accuracy (enemy spotted)

32.3%Spray accuracy

83.4%Counter-strafing

6.4°Preaim

465msReaction time

46.3%T opening success

57.1%CT opening success

0.62Enemies flashed / flash

7.1%Flash assists

9.40HE damage / grenade

8.19Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	3–13	-0.03	12%	20 Aug →
dust2	10–13	0.02	24%	20 Aug →
dust2	13–8	0.04	16%	19 Aug →
mirage	13–3	0.09	30%	19 Aug →
dust2	13–9	0.05	13%	19 Aug →
inferno	16–13	0.16	26%	19 Aug →
dust2	9–4	0.06	6%	19 Aug →
cache	8–13	0.01	5%	18 Aug →
mirage	3–13	0.09	13%	18 Aug →
dust2	13–4	0.16	9%	18 Aug →
inferno	8–8	0.02	16%	18 Aug →
inferno	6–9	-0.02	24%	18 Aug →
nuke	7–13	0.02	17%	18 Aug →
inferno	9–2	0.16	14%	18 Aug →
cache	4–13	-0.02	9%	18 Aug →
anubis	11–13	0.09	15%	18 Aug →
nuke	3–13	0.01	19%	17 Aug →
office	5–13	0.01	29%	17 Aug →
ancient	8–13	0.08	13%	17 Aug →
inferno	7–13	-0.00	19%	16 Aug →
ancient	16–14	0.08	22%	16 Aug →
inferno	4–13	0.01	19%	12 Aug →
nuke	5–13	0.05	18%	12 Aug →
dust2	13–11	0.07	20%	12 Aug →
inferno	13–11	0.18	21%	12 Aug →
inferno	4–13	0.05	19%	11 Aug →
dust2	3–13	0.07	26%	6 Aug →
dust2	13–11	0.02	17%	6 Aug →
mirage	10–13	0.08	15%	6 Aug →
dust2	5–13	0.05	20%	5 Aug →
dust2	13–7	0.00	18%	5 Aug →
mirage	1–13	0.02	15%	3 Aug →
mirage	1–13	-0.04	14%	1 Aug →
dust2	13–4	0.18	27%	31 Jul →
dust2	13–8	0.04	15%	31 Jul →
inferno	13–6	0.21	12%	31 Jul →
anubis	5–13	0.06	16%	31 Jul →
dust2	13–10	0.05	10%	31 Jul →
ancient	13–8	-0.05	14%	31 Jul →
nuke	13–7	0.03	15%	31 Jul →
ancient	13–10	0.10	20%	30 Jul →
dust2	5–13	0.11	10%	30 Jul →
nuke	1–13	-0.09	28%	29 Jul →
dust2	13–2	0.03	12%	28 Jul →
mirage	6–13	0.08	20%	27 Jul →
nuke	10–13	0.11	9%	27 Jul →
dust2	13–7	-0.00	13%	27 Jul →
inferno	13–6	0.16	18%	27 Jul →
mirage	13–10	0.04	16%	27 Jul →
mirage	5–13	-0.03	12%	27 Jul →
anubis	11–13	-0.01	22%	27 Jul →
nuke	4–13	0.03	10%	27 Jul →
inferno	13–8	0.11	20%	27 Jul →
dust2	9–13	0.08	19%	26 Jul →
nuke	4–13	0.07	16%	26 Jul →
anubis	13–11	0.11	12%	26 Jul →
mirage	13–7	-0.02	3%	26 Jul →
ancient	16–13	0.05	15%	25 Jul →
dust2	13–3	0.18	22%	25 Jul →
inferno	13–1	0.10	20%	25 Jul →
ancient	13–4	-0.00	20%	25 Jul →
nuke	7–1	0.01	11%	25 Jul →
dust2	13–5	0.12	7%	25 Jul →
dust2	6–13	0.02	20%	24 Jul →
dust2	13–4	0.08	19%	24 Jul →
dust2	13–11	0.05	16%	24 Jul →
mirage	13–7	0.03	12%	23 Jul →
nuke	13–10	0.08	14%	23 Jul →
dust2	0–5	-0.03	0%	23 Jul →
dust2	11–13	-0.01	13%	23 Jul →
dust2	13–1	0.03	26%	23 Jul →
dust2	13–4	0.03	27%	23 Jul →
nuke	13–8	0.11	21%	23 Jul →
dust2	13–7	0.14	26%	23 Jul →
mirage	6–13	0.05	22%	23 Jul →
dust2	13–11	0.14	26%	22 Jul →
mirage	13–11	0.12	18%	22 Jul →
nuke	13–4	0.16	21%	22 Jul →
mirage	10–13	0.05	35%	22 Jul →
dust2	5–13	-0.12	17%	21 Jul →
dust2	13–4	0.07	20%	21 Jul →
dust2	13–7	-0.02	11%	21 Jul →
dust2	5–13	-0.03	16%	21 Jul →
dust2	8–13	0.01	15%	21 Jul →
dust2	13–11	0.01	19%	21 Jul →
dust2	12–12	0.04	16%	19 Jul →
dust2	10–13	0.15	14%	19 Jul →
anubis	9–13	0.04	14%	19 Jul →
mirage	13–4	0.12	8%	19 Jul →
ancient	8–13	0.00	10%	18 Jul →
dust2	13–4	0.13	20%	18 Jul →
nuke	13–5	0.04	10%	18 Jul →
nuke	9–13	0.08	16%	18 Jul →
nuke	13–5	0.02	15%	18 Jul →
dust2	3–13	-0.06	8%	18 Jul →
dust2	13–5	0.02	33%	18 Jul →
dust2	13–5	-0.04	11%	18 Jul →
dust2	0–13	-0.09	0%	18 Jul →
dust2	13–9	-0.06	19%	17 Jul →
dust2	13–10	-0.05	10%	17 Jul →