.. — CS2 Stats

SE76561198966288281[U:1:1006022553]Steam profile ↗✓ No bans

1,357Tracked matches40%Win rate2020Tracked since

3,003Hours in CS3Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim83

Positioning62

Utility50

0–100 skill scores via Leetify.

Recent form

COLD59–41Last 10059%Win rateLLWLWLLLLL

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

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

Aim8.3

Aggression8.7

Utility5.0

Positioning6.2

Opening Duels4.8

Clutch3.2

Strong CT-side openerEffective flashes

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 ropz 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

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 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.3

Positioning6.2

Utility5.0

Mechanics6.7

Opening Duels4.8

Win Impact1.7

Composite 6.3/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time554ms−10ms

first ⅓ avg 564ms → last ⅓ avg 554ms

Headshot accuracy22.7%+2.7%

first ⅓ avg 20.0% → last ⅓ avg 22.7%

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

0.15Best rating — nuke 13–3

13–0Biggest win — mirage

6Longest win streak

L2Current streak

14–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

vertigoBest map · 80% over 5overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	30	19–11	63%	0.02
ancient	A	20	12–8	60%	0.01
anubis	A	15	9–6	60%	0.02
dust2	B	10	5–5	50%	0.06
inferno	A	7	4–3	57%	-0.00
vertigo	S	5	4–1	80%	0.05
overpass	C	5	2–3	40%	0.04
nuke	A	5	3–2	60%	0.04
train	—	2	0–2	0%	0.04
cache	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,125Lifetime kills

1.03K/D

2,858Matches

46.5%Match win rate · Top 50% of tracked players

60.5%Headshot % · Top 10% of tracked players

5.6%Shot accuracy

13,093MVPs

3,789Hours (in match)

2,523Bombs planted

2,565Bombs defused

Most-used weapons

AK-4745,151

M4A4 / M4A1-S13,335

Desert Eagle7,561

AWP6,564

P2000 / USP-S5,227

Glock-182,947

MP92,152

Galil AR1,677

Knife1,340

MAC-101,023

Lifetime map wins

3,831inferno

2,693nuke

2,324dust2

1,349vertigo

1,258train

559cbble

92lake

53office

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

Faceit stats

Combat

999Matches

52%Win rate

1.13Avg K/D

83.7ADR

57%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	264	49%	1.12	17.4
Ancient	209	54%	1.09	16.8
Anubis	189	57%	1.20	17.2
Inferno	110	55%	1.20	18.0
Dust2	81	47%	1.00	14.7
Nuke	68	50%	1.20	15.4
Train	28	43%	1.09	15.9
Vertigo	26	50%	1.27	18.9

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.

23.0%Headshot accuracy

36.4%Accuracy (enemy spotted)

41.0%Spray accuracy

80.3%Counter-strafing

9.2°Preaim

568msReaction time

40.6%T opening success

58.1%CT opening success

0.71Enemies flashed / flash

7.2%Flash assists

6.76HE damage / grenade

8.66Flashes / match

Recommended for you

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	0–5	-0.08	0%	28 Aug →
ancient	6–13	-0.04	19%	28 Aug →
vertigo	16–13	0.03	22%	5 Aug →
dust2	3–13	0.04	11%	4 Aug →
ancient	13–8	-0.02	18%	3 Aug →
mirage	6–13	0.01	27%	3 Aug →
mirage	6–13	0.01	12%	2 Aug →
dust2	14–16	0.12	20%	2 Aug →
mirage	9–13	0.00	15%	2 Aug →
mirage	6–13	0.12	18%	2 Aug →
mirage	13–6	0.02	15%	1 Aug →
mirage	13–5	0.04	23%	30 Jul →
train	11–13	0.04	19%	30 Jul →
ancient	13–5	0.06	31%	30 Jul →
mirage	16–14	0.03	26%	30 Jul →
mirage	13–11	-0.01	22%	30 Jul →
mirage	8–13	-0.01	23%	26 Jul →
anubis	3–13	0.03	22%	24 Jul →
mirage	16–14	0.07	26%	24 Jul →
ancient	1–13	-0.08	23%	23 Jul →
inferno	11–13	-0.07	20%	21 Jul →
mirage	13–9	-0.03	47%	18 Jul →
anubis	13–9	0.02	27%	18 Jul →
dust2	9–13	0.08	30%	18 Jul →
anubis	12–16	0.01	15%	18 Jul →
ancient	9–13	0.04	24%	17 Jul →
dust2	13–9	0.08	31%	16 Jul →
anubis	18–22	0.06	25%	16 Jul →
mirage	16–13	0.08	35%	16 Jul →
inferno	7–13	-0.06	17%	16 Jul →
mirage	13–10	0.02	23%	15 Jul →
vertigo	9–13	0.09	22%	15 Jul →
vertigo	13–10	0.01	41%	15 Jul →
ancient	13–11	-0.02	15%	28 May →
overpass	9–7	0.13	26%	27 May →
mirage	13–9	0.05	27%	27 May →
dust2	7–13	0.01	17%	27 May →
mirage	13–9	0.02	14%	27 May →
ancient	13–3	0.05	27%	27 May →
anubis	13–11	0.08	17%	26 May →
ancient	13–9	-0.01	17%	26 May →
mirage	13–11	0.10	24%	26 May →
ancient	13–6	0.07	16%	26 May →
nuke	14–16	0.02	20%	25 May →
anubis	19–17	0.03	19%	25 May →
mirage	13–10	0.01	30%	24 May →
anubis	13–9	-0.00	18%	24 May →
inferno	6–13	-0.05	20%	24 May →
overpass	9–13	-0.01	13%	24 May →
dust2	16–12	0.02	17%	23 May →
anubis	13–1	0.00	28%	23 May →
ancient	5–11	-0.03	18%	23 May →
vertigo	13–10	-0.03	21%	20 May →
dust2	5–13	0.01	26%	15 May →
anubis	5–13	-0.07	11%	12 May →
ancient	13–11	0.12	14%	12 May →
overpass	13–4	0.09	31%	11 May →
anubis	13–6	0.14	18%	11 May →
anubis	3–13	-0.05	11%	8 May →
nuke	13–5	0.09	18%	7 May →
mirage	13–0	0.09	37%	4 May →
nuke	13–3	0.15	14%	4 May →
dust2	13–2	0.02	25%	29 Apr →
cache	16–14	0.03	22%	29 Apr →
overpass	5–13	0.02	29%	28 Apr →
anubis	1–13	-0.07	25%	28 Apr →
dust2	13–0	0.10	36%	27 Apr →
vertigo	13–2	0.14	21%	27 Apr →
mirage	13–7	0.02	26%	27 Apr →
anubis	16–14	0.10	26%	26 Apr →
anubis	13–9	0.03	14%	26 Apr →
nuke	8–13	0.03	23%	25 Apr →
ancient	16–13	0.04	19%	25 Apr →
ancient	13–5	-0.01	19%	23 Apr →
mirage	6–13	0.03	20%	23 Apr →
mirage	19–17	0.04	15%	22 Apr →
ancient	4–13	-0.01	27%	21 Apr →
ancient	13–3	0.00	20%	20 Apr →
mirage	13–10	-0.05	8%	20 Apr →
mirage	13–9	0.03	13%	20 Apr →
inferno	13–7	0.00	11%	16 Apr →
mirage	13–5	0.08	29%	16 Apr →
inferno	13–11	0.05	14%	13 Apr →
train	9–13	0.05	19%	13 Apr →
anubis	13–7	0.01	20%	13 Apr →
mirage	13–16	0.03	16%	13 Apr →
ancient	11–13	0.01	18%	11 Apr →
ancient	13–9	0.03	19%	7 Apr →
inferno	13–1	0.09	23%	5 Apr →
mirage	8–13	0.01	20%	4 Apr →
nuke	13–10	-0.08	20%	24 Mar →
mirage	11–13	-0.02	24%	23 Mar →
overpass	6–13	-0.03	17%	23 Mar →
ancient	13–9	0.05	18%	19 Mar →
mirage	13–11	-0.01	17%	19 Mar →
ancient	10–13	-0.02	20%	19 Mar →
ancient	8–13	0.05	38%	19 Mar →
dust2	13–9	0.07	25%	12 Mar →
inferno	13–9	0.02	18%	12 Mar →
mirage	7–13	-0.01	23%	12 Mar →