pQtriots are in cQntrol.. — CS2 Stats

CG76561199411064526[U:1:1450798798]Steam profile ↗

412Tracked matches74%Win rate2022Tracked since

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating21,073Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#16872 of 51686 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning71

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateWWLWWTLWWT

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

Player DNA

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

Aim8.7

Aggression10.0

Utility6.3

Positioning7.1

Opening Duels4.3

Clutch4.8

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 sh1ro 96% 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 87 — 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

Aim8.7

Positioning7.1

Utility6.3

Mechanics7.9

Opening Duels4.3

Win Impact10.0

Composite 7.7/10 (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 rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time500ms−26ms

first ⅓ avg 526ms → last ⅓ avg 500ms

Headshot accuracy21.3%+0.7%

first ⅓ avg 20.6% → last ⅓ avg 21.3%

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

0.24Best rating — mirage 1–4

13–0Biggest win — nuke

7Longest win streak

W2Current streak

5–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 55% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	17–12	59%	0.06
dust2	A	22	12–10	55%	0.04
inferno	A	17	10–7	59%	0.04
ancient	A	11	6–5	55%	-0.00
anubis	S	8	6–2	75%	0.09
cache	S	5	4–1	80%	0.06
nuke	—	3	1–2	33%	0.07
vertigo	—	2	0–2	0%	0.01
train	—	2	0–2	0%	-0.05
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches

63%Win rate

1.59Avg K/D

86.1ADR

47%Headshot %

Clutches & streaks

44%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	67%	1.30	16.2
Anubis	15	53%	2.07	19.2
Dust2	12	50%	1.82	18.4
Inferno	11	64%	1.60	18.4
Ancient	6	50%	1.21	11.8
Nuke	3	67%	1.07	16.3
Train	1	100%	1.20	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.

21.0%Headshot accuracy

35.4%Accuracy (enemy spotted)

37.6%Spray accuracy

85.4%Counter-strafing

7.8°Preaim

501msReaction time

48.2%T opening success

45.9%CT opening success

0.70Enemies flashed / flash

9.6%Flash assists

6.81HE damage / grenade

14.36Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.03	22%	21 Jun →
cache	13–8	0.02	15%	21 Jun →
inferno	6–13	-0.02	17%	21 Jun →
anubis	13–3	0.18	27%	21 Jun →
dust2	13–9	0.05	17%	21 Jun →
mirage	12–12	0.10	29%	21 Jun →
anubis	9–13	0.08	15%	21 Jun →
inferno	13–6	0.06	33%	21 Jun →
dust2	13–9	0.00	20%	21 Jun →
mirage	12–12	0.08	21%	25 May →
mirage	13–5	0.06	37%	25 May →
mirage	8–0	0.12	36%	25 May →
mirage	13–5	0.08	21%	25 May →
cache	13–5	0.01	17%	25 May →
cache	13–7	0.04	16%	25 May →
cache	9–13	0.02	19%	25 May →
mirage	12–12	-0.01	8%	25 May →
dust2	13–10	0.02	29%	18 May →
inferno	13–10	0.03	21%	18 May →
mirage	13–3	0.09	17%	18 May →
anubis	16–13	0.02	26%	17 May →
mirage	13–9	0.01	28%	17 May →
inferno	13–10	0.13	20%	17 May →
mirage	13–9	0.10	16%	17 May →
mirage	10–13	-0.02	24%	17 May →
dust2	14–16	-0.01	13%	15 May →
anubis	13–11	-0.02	13%	15 May →
dust2	4–13	0.09	25%	30 Apr →
cache	13–6	0.21	21%	30 Apr →
mirage	6–13	-0.02	22%	30 Apr →
mirage	10–13	0.01	19%	29 Apr →
dust2	13–6	0.04	20%	29 Apr →
ancient	15–15	0.01	21%	29 Apr →
mirage	13–8	0.18	21%	28 Apr →
dust2	10–13	0.02	14%	28 Apr →
inferno	9–13	-0.02	23%	27 Apr →
mirage	13–8	0.07	14%	27 Apr →
mirage	1–4	0.24	32%	27 Apr →
anubis	13–3	0.19	17%	27 Apr →
mirage	11–13	0.01	39%	24 Apr →
nuke	13–0	0.10	9%	24 Apr →
inferno	11–13	0.09	30%	24 Apr →
nuke	12–12	0.04	29%	16 Feb →
dust2	13–8	-0.02	8%	16 Feb →
ancient	13–10	-0.02	15%	16 Feb →
vertigo	4–13	0.03	24%	16 Feb →
dust2	13–6	-0.02	14%	25 Dec →
mirage	7–13	0.01	15%	21 Dec →
inferno	13–8	0.06	18%	21 Dec →
train	11–13	-0.01	24%	21 Dec →
mirage	13–5	0.05	11%	21 Dec →
dust2	13–1	0.13	16%	21 Dec →
mirage	13–1	0.10	24%	21 Dec →
dust2	9–13	0.01	9%	21 Dec →
dust2	8–13	0.06	23%	3 Aug →
inferno	8–13	-0.06	24%	3 Aug →
ancient	3–0	0.13	38%	3 Aug →
anubis	12–12	-0.02	8%	3 Aug →
dust2	13–8	0.08	26%	3 Aug →
mirage	10–13	0.05	14%	3 Aug →
dust2	9–13	-0.05	18%	3 Aug →
dust2	13–4	0.12	14%	3 Aug →
dust2	7–13	0.03	22%	3 Aug →
ancient	3–13	-0.04	18%	3 Aug →
vertigo	7–13	-0.02	13%	3 Aug →
nuke	9–13	0.09	22%	2 Aug →
anubis	13–6	0.19	13%	2 Aug →
ancient	3–13	-0.07	11%	2 Aug →
inferno	6–13	0.03	21%	2 Aug →
mirage	13–10	0.03	26%	2 Aug →
inferno	13–8	0.01	20%	1 Aug →
anubis	13–9	0.13	17%	31 Jul →
ancient	4–13	-0.03	25%	31 Jul →
inferno	6–13	0.10	21%	31 Jul →
mirage	13–4	0.06	25%	31 Jul →
dust2	6–13	0.09	19%	31 Jul →
mirage	13–10	-0.03	16%	31 Jul →
mirage	13–11	0.08	12%	31 Jul →
mirage	4–13	-0.01	25%	31 Jul →
ancient	13–9	0.00	15%	30 Jul →
ancient	10–13	-0.02	20%	30 Jul →
overpass	9–13	-0.03	19%	30 Jul →
mirage	13–10	0.00	10%	30 Jul →
train	0–13	-0.09	38%	30 Jul →
ancient	13–8	-0.02	17%	30 Jul →
inferno	13–11	0.07	26%	30 Jul →
inferno	13–10	0.01	21%	28 Jul →
mirage	13–9	0.00	23%	28 Jul →
dust2	9–13	0.02	24%	27 Jul →
dust2	13–5	0.05	27%	27 Jul →
ancient	13–8	0.03	22%	27 Jul →
inferno	13–6	0.12	15%	27 Jul →
ancient	13–11	0.03	24%	27 Jul →
mirage	13–5	0.16	19%	27 Jul →
inferno	13–9	0.06	15%	27 Jul →
inferno	1–2	0.01	25%	27 Jul →
dust2	9–13	0.09	15%	27 Jul →
dust2	13–6	0.11	15%	27 Jul →
inferno	16–13	-0.01	32%	27 Jul →
mirage	8–13	0.00	24%	26 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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