Kevin — CS2 Stats

76561198252525182[U:1:292259454]Steam profile ↗✓ No bans

527Tracked matches57%Win rate2020Tracked since

1,919Hours in CS1Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating13,739Blue band · top ~35.1% of ranked players (population est.)

CSDB Leaderboard#12611 of 18666 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning64

Utility43

0–100 skill scores via Leetify.

Recent form

COLD53–42–5Last 10053%Win rateLLLLWWLTLW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8

Aggression8.1

Utility4.3

Positioning6.4

Opening Duels4.3

Clutch6.0

Strong 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 ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim7.8

Positioning6.4

Utility4.3

Mechanics7.6

Opening Duels4.3

Win Impact7.4

Composite 6.2/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time559ms−34ms

first ⅓ avg 593ms → last ⅓ avg 559ms

Headshot accuracy14.8%−0.1%

first ⅓ avg 14.9% → last ⅓ avg 14.8%

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

0.14Best rating — mirage 13–9

13–1Biggest win — mirage

6Longest win streak

L4Current streak

15–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 79% over 14anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	0.02
ancient	B	14	7–7	50%	0.02
inferno	C	14	6–8	43%	0.02
dust2	S	14	11–3	79%	0.01
nuke	C	12	5–7	42%	0.03
anubis	C	8	3–5	38%	-0.00
overpass	A	5	3–2	60%	0.02
cache	—	4	2–2	50%	0.03
boulder	—	1	1–0	100%	0.11
shelter	—	1	1–0	100%	0.02
italy	—	1	1–0	100%	0.13
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,084Lifetime kills

1.04K/D

2,337Matches

46.6%Match win rate · Top 50% of tracked players

36.8%Headshot %

13.2%Shot accuracy · Top 50% of tracked players

4,987MVPs

929Hours (in match)

1,325Bombs planted

450Bombs defused

Most-used weapons

AK-479,851

AWP9,011

M4A4 / M4A1-S4,286

Desert Eagle4,282

P2000 / USP-S2,000

SSG 081,603

Glock-181,134

P90988

UMP-45916

SG 553680

Lifetime map wins

6,675dust2

2,038inferno

1,043nuke

437train

315cbble

311vertigo

227office

161lake

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

Faceit stats

Combat

10Matches

70%Win rate

0.80Avg K/D

102.0ADR

38%Headshot %

Clutches & streaks

50%1v1 clutch win

50%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	100%	1.62	21.0
Ancient	1	100%	2.00	20.0

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.

15.4%Headshot accuracy

37.4%Accuracy (enemy spotted)

40.2%Spray accuracy

84.1%Counter-strafing

9.6°Preaim

563msReaction time

37.4%T opening success

57.1%CT opening success

0.53Enemies flashed / flash

5.7%Flash assists

6.49HE damage / grenade

8.55Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 37.4434% — below the 40% mark we flag

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.

38% win rate across 8 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	10–13	-0.07	11%	15 Aug →
ancient	9–13	0.01	15%	13 Aug →
mirage	11–13	0.01	10%	8 Aug →
inferno	11–13	0.01	12%	6 Aug →
dust2	13–11	0.01	28%	6 Aug →
ancient	13–10	0.09	17%	5 Aug →
nuke	9–13	0.01	16%	5 Aug →
ancient	15–15	-0.02	7%	4 Aug →
anubis	10–13	-0.02	18%	1 Aug →
ancient	16–14	-0.02	17%	1 Aug →
inferno	13–11	0.02	9%	1 Aug →
inferno	13–5	0.03	13%	30 Jul →
mirage	7–13	-0.03	8%	30 Jul →
dust2	13–9	0.00	15%	29 Jul →
cache	13–8	0.03	20%	29 Jul →
dust2	13–10	0.02	20%	28 Jul →
nuke	8–13	0.00	13%	28 Jul →
boulder	13–4	0.11	11%	22 Jul →
mirage	13–4	0.09	9%	22 Jul →
nuke	15–15	0.08	21%	22 Jul →
ancient	3–7	-0.07	13%	18 Jul →
dust2	13–9	0.07	19%	16 Jul →
inferno	10–13	-0.03	13%	15 Jul →
shelter	13–9	0.02	11%	14 Jul →
mirage	1–13	-0.04	9%	14 Jul →
inferno	13–8	0.00	24%	13 Jul →
cache	5–13	-0.04	20%	9 Jul →
ancient	13–6	0.01	13%	4 Jul →
mirage	13–11	-0.02	28%	4 Jul →
dust2	16–14	-0.02	15%	3 Jul →
anubis	11–13	-0.03	12%	3 Jul →
dust2	13–11	-0.04	16%	2 Jul →
ancient	13–10	-0.00	6%	30 Jun →
nuke	13–7	0.01	17%	29 Jun →
ancient	11–13	0.01	8%	27 Jun →
dust2	13–11	-0.01	12%	24 Jun →
mirage	10–13	-0.04	9%	24 Jun →
mirage	12–12	0.03	18%	24 Jun →
cache	13–8	0.10	27%	20 Jun →
dust2	15–15	0.00	10%	19 Jun →
inferno	10–13	-0.01	21%	19 Jun →
nuke	14–16	0.07	18%	18 Jun →
ancient	13–5	0.02	26%	18 Jun →
nuke	9–13	0.03	11%	17 Jun →
mirage	13–11	-0.00	18%	12 Jun →
mirage	13–9	0.04	15%	10 Jun →
inferno	16–13	0.07	18%	10 Jun →
mirage	4–13	-0.03	13%	9 Jun →
ancient	16–13	0.08	14%	6 Jun →
mirage	10–13	0.05	16%	5 Jun →
anubis	16–14	0.00	14%	2 Jun →
overpass	8–13	0.02	16%	27 May →
mirage	13–11	0.02	10%	27 May →
dust2	5–13	0.02	18%	27 May →
ancient	9–13	-0.00	15%	25 May →
mirage	9–13	-0.00	12%	19 May →
ancient	4–13	-0.02	9%	18 May →
inferno	7–13	0.02	12%	18 May →
mirage	6–13	-0.04	23%	16 May →
nuke	13–7	0.12	9%	15 May →
mirage	13–11	0.03	9%	12 May →
ancient	7–13	0.04	13%	12 May →
nuke	13–16	-0.05	11%	11 May →
dust2	13–3	-0.01	26%	8 May →
anubis	10–13	-0.00	14%	5 May →
anubis	16–13	0.04	14%	1 May →
mirage	13–1	0.13	12%	29 Apr →
cache	8–13	0.03	29%	29 Apr →
anubis	16–13	0.05	15%	22 Apr →
mirage	13–9	0.08	11%	21 Apr →
dust2	13–6	0.02	21%	21 Apr →
overpass	13–10	0.07	13%	17 Apr →
italy	13–3	0.13	5%	16 Apr →
vertigo	13–5	0.03	12%	16 Apr →
mirage	15–15	0.01	9%	15 Apr →
ancient	13–7	0.11	21%	15 Apr →
nuke	13–11	0.03	18%	8 Apr →
dust2	13–7	0.03	15%	3 Apr →
inferno	13–5	0.06	18%	2 Apr →
dust2	11–13	0.01	21%	2 Apr →
anubis	0–7	-0.00	29%	1 Apr →
mirage	13–7	0.01	14%	1 Apr →
inferno	11–13	0.03	13%	31 Mar →
overpass	13–6	0.08	11%	30 Mar →
inferno	7–13	-0.06	22%	28 Mar →
mirage	13–9	0.14	20%	27 Mar →
inferno	10–13	0.01	18%	24 Mar →
mirage	10–13	0.02	15%	24 Mar →
nuke	16–13	0.01	12%	23 Mar →
nuke	13–2	0.03	10%	20 Mar →
overpass	5–13	-0.04	10%	19 Mar →
inferno	9–13	0.05	15%	17 Mar →
mirage	10–13	-0.03	10%	16 Mar →
dust2	13–11	0.02	7%	16 Mar →
nuke	4–13	-0.02	11%	12 Mar →
overpass	13–10	-0.01	21%	11 Mar →
mirage	13–3	0.07	4%	11 Mar →
inferno	13–11	0.03	22%	10 Mar →
anubis	4–13	-0.06	8%	7 Mar →
mirage	13–11	0.05	13%	6 Mar →