PA — CS2 Stats

76561198448419287[U:1:488153559]Steam profile ↗✓ No bans

1,499Tracked matches52%Win rate2020Tracked since

2,222Hours in CS

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating21,776Top 50% of 819 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#1057 of 3336 tracked

FaceitLevel 6 · 1,116 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

Performance scores

Aim87

Positioning65

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWLWLWLWLL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim8.7

Aggression6.5

Utility5.4

Positioning6.5

Opening Duels4.0

Clutch6.4

Sharp aimerStrong CT-side opener

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 iM 96% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 60% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning6.5

Utility5.4

Mechanics6.8

Opening Duels4.0

Win Impact5.6

Composite 6.8/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time505ms−34ms

first ⅓ avg 539ms → last ⅓ avg 505ms

Headshot accuracy19.6%−3.2%

first ⅓ avg 22.8% → last ⅓ avg 19.6%

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

0.16Best rating — nuke 10–13

13–0Biggest win — ancient

6Longest win streak

W2Current streak

14–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 83% over 6nukeWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	22	18–4	82%	0.03
mirage	C	22	9–13	41%	0.01
nuke	C	16	6–10	38%	0.03
ancient	C	13	5–8	38%	0.04
anubis	A	11	7–4	64%	0.04
dust2	C	10	4–6	40%	0.03
cache	S	6	5–1	83%	0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,606Lifetime kills

1.57K/D · Top 10% of Pink band

4,165Matches

64.8%Match win rate · Top 5% of Pink band

47.7%Headshot %

9.6%Shot accuracy

9,708MVPs

2,222Hours (in match)

1,211Bombs planted

1,048Bombs defused

Most-used weapons

AK-4736,746

M4A4 / M4A1-S11,773

AWP9,964

Desert Eagle9,671

P2000 / USP-S2,228

Glock-181,808

MP91,709

MAC-101,453

SSG 081,410

G3SG11,104

Lifetime map wins

6,313office

6,182inferno

4,034italy

2,258dust2

1,794nuke

1,085vertigo

907militia

548train

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

Faceit stats

Combat

32Matches

62%Win rate

1.24Avg K/D

77.1ADR

50%Headshot %

Clutches & streaks

52%1v1 clutch win

16%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	1.09	15.9
Ancient	5	40%	1.17	15.8
Anubis	5	100%	1.54	16.0
Inferno	4	75%	1.11	14.0
Nuke	4	75%	1.47	12.5
Dust2	2	0%	1.01	18.5
Cache	2	50%	1.06	12.5
Overpass	1	100%	2.00	24.0

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.

19.9%Headshot accuracy

38.8%Accuracy (enemy spotted)

40.7%Spray accuracy

80.7%Counter-strafing

8.8°Preaim

499msReaction time

31.8%T opening success

60.1%CT opening success

0.58Enemies flashed / flash

3.7%Flash assists

8.92HE damage / grenade

9.55Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	0.08	27%	26 Aug →
cache	13–2	0.13	25%	26 Aug →
inferno	10–13	-0.02	19%	26 Aug →
mirage	13–10	-0.03	0%	26 Aug →
nuke	4–13	-0.02	25%	26 Aug →
inferno	16–14	0.05	22%	25 Aug →
ancient	10–13	0.03	14%	25 Aug →
inferno	13–11	0.01	26%	25 Aug →
inferno	1–3	-0.01	0%	25 Aug →
mirage	9–13	-0.01	18%	24 Aug →
nuke	13–5	0.05	23%	24 Aug →
dust2	11–13	0.07	30%	24 Aug →
dust2	13–7	0.08	27%	24 Aug →
nuke	1–13	-0.03	15%	21 Aug →
dust2	5–13	-0.01	29%	21 Aug →
mirage	13–11	0.04	18%	21 Aug →
mirage	11–13	-0.02	22%	20 Aug →
nuke	11–13	0.06	21%	20 Aug →
anubis	13–9	0.00	22%	20 Aug →
inferno	13–7	0.00	18%	20 Aug →
ancient	5–13	0.07	15%	20 Aug →
dust2	8–13	0.02	22%	20 Aug →
dust2	13–11	0.06	20%	19 Aug →
nuke	13–4	0.02	22%	19 Aug →
inferno	16–14	0.02	16%	19 Aug →
dust2	12–16	0.03	21%	17 Aug →
mirage	13–7	0.02	14%	17 Aug →
inferno	13–11	0.04	19%	17 Aug →
nuke	15–15	0.08	19%	17 Aug →
mirage	8–13	0.01	17%	17 Aug →
mirage	6–13	-0.03	11%	17 Aug →
nuke	13–11	0.03	19%	14 Aug →
dust2	11–13	0.07	31%	14 Aug →
ancient	7–13	0.02	18%	13 Aug →
inferno	13–11	-0.03	18%	13 Aug →
inferno	13–7	0.01	21%	13 Aug →
nuke	13–8	-0.01	23%	12 Aug →
nuke	13–7	0.10	39%	12 Aug →
mirage	7–13	0.01	30%	12 Aug →
anubis	13–5	0.09	16%	12 Aug →
ancient	16–12	-0.03	28%	11 Aug →
inferno	13–5	0.06	10%	11 Aug →
ancient	13–9	-0.02	17%	11 Aug →
mirage	13–2	0.03	20%	11 Aug →
inferno	16–14	0.00	16%	11 Aug →
anubis	14–16	-0.00	18%	6 Aug →
mirage	13–8	0.01	20%	6 Aug →
mirage	10–13	-0.04	24%	6 Aug →
ancient	13–0	0.14	26%	6 Aug →
nuke	7–13	0.06	22%	4 Aug →
mirage	13–1	0.12	50%	4 Aug →
anubis	8–13	0.02	16%	4 Aug →
nuke	11–13	0.03	21%	4 Aug →
ancient	11–13	0.05	19%	4 Aug →
mirage	12–16	0.05	25%	4 Aug →
anubis	5–13	0.04	24%	3 Aug →
inferno	13–7	-0.04	28%	3 Aug →
inferno	13–11	0.04	40%	3 Aug →
nuke	10–13	0.16	24%	3 Aug →
mirage	9–13	0.04	20%	3 Aug →
inferno	13–5	0.07	42%	31 Jul →
inferno	13–10	0.04	32%	31 Jul →
mirage	9–13	-0.04	14%	31 Jul →
nuke	6–13	0.03	27%	31 Jul →
mirage	16–14	0.03	17%	31 Jul →
inferno	13–2	0.12	41%	31 Jul →
anubis	13–8	-0.00	21%	31 Jul →
nuke	13–10	0.03	18%	31 Jul →
dust2	7–13	-0.06	24%	30 Jul →
anubis	7–13	0.03	24%	30 Jul →
cache	2–13	-0.06	15%	30 Jul →
ancient	13–8	0.05	21%	29 Jul →
mirage	13–10	0.03	15%	29 Jul →
inferno	16–14	0.07	33%	29 Jul →
mirage	10–13	0.05	27%	28 Jul →
anubis	13–11	0.06	23%	28 Jul →
inferno	13–4	0.09	41%	28 Jul →
inferno	13–2	0.05	32%	28 Jul →
mirage	6–13	-0.04	23%	27 Jul →
ancient	8–13	0.02	30%	27 Jul →
mirage	13–10	0.04	32%	27 Jul →
ancient	5–13	-0.03	11%	18 Jul →
anubis	13–11	0.06	14%	18 Jul →
ancient	2–13	0.08	24%	18 Jul →
mirage	7–13	-0.10	30%	18 Jul →
cache	13–2	0.00	18%	18 Jul →
inferno	9–13	0.01	19%	18 Jul →
nuke	0–13	-0.03	0%	18 Jul →
cache	13–4	0.01	18%	18 Jul →
ancient	10–13	0.03	16%	18 Jul →
dust2	13–10	-0.01	18%	18 Jul →
anubis	16–13	0.01	13%	18 Jul →
dust2	13–10	0.10	38%	18 Jul →
mirage	11–13	-0.02	28%	18 Jul →
ancient	13–7	0.09	22%	18 Jul →
cache	13–3	0.04	31%	17 Jul →
inferno	7–13	-0.02	26%	17 Jul →
cache	13–9	0.04	23%	17 Jul →
nuke	0–13	-0.13	33%	17 Jul →
inferno	13–4	0.09	13%	17 Jul →