Patron — CS2 Stats

US76561198828280765[U:1:868015037]Steam profile ↗1 game ban

1,316Tracked matches53%Win rate2020Tracked since

3,110Hours in CS3Hrs last 2 wks

CSDB Rating6.0 SolidEntry Fragger

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim70

Positioning69

Utility49

0–100 skill scores via Leetify.

Recent form

COLD56–42–2Last 10056%Win rateWWLLLWLLLL

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim7.0

Aggression10.0

Utility4.9

Positioning6.9

Opening Duels6.6

Clutch2.4

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 s1mple 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower 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

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

Areas to improve

Reaction time. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.0

Positioning6.9

Utility4.9

Mechanics5.8

Opening Duels6.6

Win Impact6.1

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time628ms+1ms

first ⅓ avg 627ms → last ⅓ avg 628ms

Headshot accuracy15.0%+1.2%

first ⅓ avg 13.8% → last ⅓ avg 15.0%

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

0.23Best rating — cache 13–4

13–2Biggest win — mirage

8Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 75% over 8nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	17–10	63%	0.01
ancient	B	19	10–9	53%	0.01
cache	C	16	7–9	44%	0.04
nuke	D	9	3–6	33%	-0.02
dust2	A	8	5–3	63%	0.01
inferno	S	8	6–2	75%	0.02
overpass	A	7	4–3	57%	0.02
anubis	—	3	2–1	67%	0.04
train	—	2	1–1	50%	0.07
vertigo	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,374Lifetime kills

1.14K/D · Top 50% of tracked players

3,474Matches

46.7%Match win rate · Top 50% of tracked players

39.3%Headshot %

17.1%Shot accuracy · Top 25% of tracked players

9,688MVPs

1,707Hours (in match)

3,009Bombs planted

1,180Bombs defused

Most-used weapons

AK-4722,208

AWP13,934

M4A4 / M4A1-S8,996

Desert Eagle4,886

P2000 / USP-S3,944

Glock-183,143

FAMAS2,187

AUG2,005

P2501,760

SG 5531,755

Lifetime map wins

5,100inferno

4,614dust2

1,758nuke

956vertigo

802train

301cbble

58office

16lake

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

Faceit stats

Combat

818Matches

53%Win rate

1.13Avg K/D

82.5ADR

34%Headshot %

Clutches & streaks

32%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	91	58%	1.24	17.9
Ancient	51	37%	1.08	16.5
Inferno	37	54%	1.19	17.3
Anubis	33	48%	1.38	19.6
Nuke	32	44%	1.06	15.5
Dust2	26	38%	1.13	15.9
Overpass	10	60%	1.07	17.7
Train	6	50%	0.98	23.7

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.

15.2%Headshot accuracy

40.6%Accuracy (enemy spotted)

45.0%Spray accuracy

76.3%Counter-strafing

11.2°Preaim

633msReaction time

53.0%T opening success

60.1%CT opening success

0.68Enemies flashed / flash

6.8%Flash assists

11.27HE damage / grenade

6.89Flashes / match

Recommended for you

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–10	-0.06	16%	26 Aug →
dust2	13–11	0.08	18%	25 Aug →
cache	7–13	0.06	5%	25 Aug →
nuke	8–13	-0.05	19%	28 Jul →
cache	12–16	0.05	28%	25 Jul →
mirage	13–8	0.00	17%	18 Jul →
anubis	14–16	-0.01	12%	13 Jul →
mirage	9–13	0.01	13%	31 May →
inferno	6–13	0.01	13%	24 May →
cache	15–19	0.04	16%	18 May →
cache	2–13	-0.07	14%	10 May →
cache	8–13	0.08	14%	10 May →
cache	13–6	0.05	21%	3 May →
cache	13–9	0.02	9%	3 May →
cache	9–13	-0.04	0%	1 May →
cache	2–13	0.01	16%	30 Apr →
cache	13–7	0.04	12%	30 Apr →
cache	13–4	0.08	17%	30 Apr →
cache	13–7	0.09	16%	30 Apr →
cache	7–13	-0.01	16%	29 Apr →
cache	13–4	0.23	22%	29 Apr →
cache	5–13	0.01	21%	29 Apr →
cache	13–7	0.06	13%	28 Apr →
mirage	13–9	0.00	12%	17 Apr →
mirage	13–8	0.06	17%	29 Mar →
nuke	13–3	0.01	10%	29 Mar →
dust2	9–13	-0.06	16%	7 Mar →
mirage	13–2	0.03	0%	15 Feb →
anubis	13–5	0.07	15%	1 Feb →
anubis	16–14	0.07	27%	1 Feb →
mirage	8–13	0.02	14%	24 Jan →
dust2	13–11	-0.05	26%	11 Jan →
overpass	11–13	0.01	8%	4 Jan →
overpass	11–13	0.04	4%	4 Jan →
mirage	13–6	0.03	17%	31 Dec →
inferno	9–13	-0.01	21%	31 Dec →
inferno	13–6	-0.02	16%	28 Dec →
mirage	5–13	-0.03	24%	27 Dec →
mirage	13–4	0.01	21%	21 Dec →
mirage	13–11	-0.01	12%	20 Dec →
mirage	16–14	0.09	20%	18 Dec →
ancient	13–6	-0.00	10%	17 Dec →
nuke	13–8	-0.04	20%	17 Dec →
ancient	13–8	0.01	21%	15 Dec →
mirage	7–13	0.07	10%	14 Dec →
ancient	11–13	-0.02	11%	7 Dec →
ancient	13–11	0.03	13%	7 Dec →
mirage	2–5	-0.08	0%	7 Dec →
dust2	13–10	0.03	15%	6 Dec →
overpass	13–8	0.04	17%	6 Dec →
nuke	16–14	-0.03	22%	4 Dec →
mirage	9–13	-0.02	7%	1 Dec →
nuke	15–15	0.02	8%	27 Nov →
ancient	8–13	-0.01	11%	27 Nov →
mirage	4–13	0.00	8%	26 Nov →
mirage	13–7	-0.01	5%	22 Nov →
dust2	13–9	0.01	26%	22 Nov →
mirage	2–9	0.00	30%	22 Nov →
overpass	9–13	0.02	23%	22 Nov →
dust2	13–3	0.05	7%	16 Nov →
inferno	13–10	-0.00	15%	15 Nov →
mirage	13–6	0.08	3%	15 Nov →
ancient	11–13	0.04	9%	15 Nov →
mirage	13–9	-0.04	40%	15 Nov →
nuke	10–13	-0.01	12%	15 Nov →
ancient	13–7	0.05	0%	15 Nov →
ancient	10–13	0.00	16%	9 Nov →
mirage	13–10	-0.02	17%	4 Nov →
train	15–15	0.08	17%	1 Nov →
dust2	9–13	-0.04	10%	1 Nov →
inferno	13–8	-0.04	19%	23 Oct →
ancient	8–13	-0.01	21%	21 Oct →
mirage	25–22	0.05	4%	19 Oct →
mirage	13–8	-0.04	7%	17 Oct →
nuke	7–13	-0.06	27%	17 Oct →
ancient	7–0	0.04	20%	17 Oct →
inferno	13–6	0.11	23%	17 Oct →
overpass	13–9	0.03	2%	13 Oct →
ancient	13–9	-0.04	14%	13 Oct →
ancient	13–9	0.02	11%	13 Oct →
overpass	13–11	0.03	8%	12 Oct →
ancient	13–4	-0.07	6%	12 Oct →
inferno	13–4	0.07	24%	12 Oct →
ancient	11–13	0.08	11%	12 Oct →
dust2	8–13	0.01	9%	12 Oct →
nuke	11–13	-0.03	21%	11 Oct →
train	34–30	0.07	10%	11 Oct →
mirage	13–5	0.02	21%	9 Oct →
overpass	16–13	-0.00	7%	8 Oct →
mirage	13–11	-0.01	11%	8 Oct →
ancient	10–13	-0.03	24%	7 Oct →
ancient	6–13	-0.06	0%	5 Oct →
mirage	10–13	-0.03	14%	5 Oct →
mirage	7–13	-0.04	11%	4 Oct →
ancient	13–8	-0.00	14%	3 Oct →
mirage	13–7	0.02	10%	3 Oct →
ancient	7–13	0.01	12%	2 Oct →
ancient	13–10	0.09	15%	2 Oct →
inferno	13–6	0.04	18%	1 Oct →
nuke	10–13	-0.01	18%	28 Sept →