xXx DON WEVAN xXx — CS2 Stats

76561198175780673[U:1:215514945]

563Tracked matches31%Win rate2020Tracked since

CSDB Rating3.9 Learning

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning37

Utility23

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLLLWLWWLLL

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

Player DNA

Aim5.6

Aggression2.3

Utility2.3

Positioning3.7

Opening Duels0.0

Clutch7.0

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 NiKo 67% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 761ms 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

Aim5.6

Positioning3.7

Utility2.3

Mechanics7.1

Opening Duels0.2

Win Impact0.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time779ms+71ms

first ⅓ avg 709ms → last ⅓ avg 779ms

Headshot accuracy20.9%+2.2%

first ⅓ avg 18.7% → last ⅓ avg 20.9%

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

0.11Best rating — office 13–2

13–2Biggest win — mirage

9Longest win streak

L3Current streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

trainBest map · 60% over 5overpassWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
office	B	17	9–8	53%	-0.02
ancient	B	15	8–7	53%	-0.02
nuke	C	13	5–8	38%	-0.03
mirage	B	13	7–6	54%	-0.01
overpass	D	12	3–9	25%	-0.03
inferno	D	11	3–8	27%	-0.03
dust2	C	7	3–4	43%	-0.01
train	A	5	3–2	60%	-0.00
palacio	—	2	1–1	50%	-0.06
golden	—	2	2–0	100%	-0.03
vertigo	—	2	0–2	0%	-0.02
italy	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

166Matches

54%Win rate

1.17Avg K/D

71.5ADR

47%Headshot %

Clutches & streaks

55%1v1 clutch win

12%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	53%	0.97	15.2
Anubis	20	55%	0.85	13.3
Ancient	12	50%	0.87	12.3
Dust2	11	55%	1.25	16.3
Vertigo	8	50%	0.79	13.4
Nuke	5	40%	0.76	10.8
Inferno	4	75%	0.88	14.8
Overpass	1	100%	0.88	15.0

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.

19.3%Headshot accuracy

35.3%Accuracy (enemy spotted)

39.7%Spray accuracy

82.0%Counter-strafing

11.0°Preaim

761msReaction time

19.3%T opening success

31.4%CT opening success

0.40Enemies flashed / flash

0.4%Flash assists

8.35HE damage / grenade

1.64Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 760.7852ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4028 — below the 0.5 mark we flag
Grenade Lineups →
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 19.3167% — below the 40% mark we flag

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.

25% win rate across 12 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
nuke	0–7	-0.08	50%	10 Apr →
ancient	6–13	-0.03	11%	21 Mar →
office	11–13	-0.03	24%	21 Mar →
office	13–5	0.05	11%	21 Mar →
inferno	2–13	-0.03	27%	14 Mar →
nuke	13–5	-0.04	19%	11 Mar →
ancient	13–7	-0.05	12%	18 Dec →
nuke	3–13	-0.08	33%	17 Dec →
inferno	6–13	-0.12	12%	17 Dec →
nuke	6–13	-0.06	19%	17 Dec →
mirage	6–13	-0.06	39%	17 Dec →
train	7–13	-0.04	17%	14 Dec →
ancient	13–11	-0.02	25%	14 Dec →
ancient	10–13	-0.01	16%	14 Dec →
palacio	8–13	-0.05	19%	14 Dec →
office	9–13	0.01	23%	14 Dec →
overpass	9–13	0.02	16%	13 Dec →
dust2	11–13	-0.02	18%	13 Dec →
ancient	9–13	-0.02	18%	13 Dec →
inferno	13–8	-0.03	12%	13 Dec →
overpass	13–10	-0.03	5%	13 Dec →
nuke	13–8	-0.01	31%	13 Dec →
mirage	10–13	-0.03	21%	13 Dec →
inferno	15–15	-0.03	16%	10 Dec →
overpass	10–13	-0.05	24%	10 Dec →
nuke	8–13	-0.01	19%	10 Dec →
train	13–3	0.05	21%	10 Dec →
ancient	13–11	0.04	15%	10 Dec →
inferno	7–13	-0.07	14%	10 Dec →
inferno	3–13	-0.02	21%	10 Dec →
nuke	5–13	-0.06	33%	10 Dec →
dust2	8–13	-0.08	19%	7 Dec →
office	6–13	-0.03	30%	29 Nov →
overpass	7–13	-0.05	14%	29 Nov →
golden	13–7	0.00	28%	15 Nov →
office	13–7	-0.03	23%	15 Nov →
office	9–13	-0.10	25%	15 Nov →
mirage	13–2	0.03	6%	8 Nov →
dust2	11–13	0.05	23%	8 Nov →
train	13–10	-0.00	20%	8 Nov →
nuke	11–13	-0.02	22%	8 Nov →
overpass	12–16	-0.08	4%	8 Nov →
ancient	13–9	-0.00	16%	8 Nov →
inferno	7–13	-0.02	22%	8 Nov →
office	13–6	0.01	14%	7 Nov →
office	13–8	-0.05	23%	7 Nov →
office	13–2	0.01	19%	7 Nov →
office	13–8	-0.06	29%	6 Nov →
office	12–12	-0.03	32%	6 Nov →
office	9–13	-0.06	24%	6 Nov →
office	13–7	-0.02	36%	6 Nov →
inferno	6–13	-0.06	31%	2 Nov →
nuke	13–16	-0.04	21%	2 Nov →
ancient	9–13	0.01	21%	2 Nov →
office	13–9	-0.00	22%	2 Nov →
office	13–2	0.11	35%	1 Nov →
golden	13–10	-0.07	17%	24 Oct →
mirage	13–7	-0.03	30%	24 Oct →
palacio	13–7	-0.08	43%	24 Oct →
office	9–13	-0.06	18%	24 Oct →
vertigo	11–13	0.01	20%	23 Oct →
vertigo	12–12	-0.06	15%	23 Oct →
overpass	11–13	-0.01	27%	19 Oct →
italy	1–13	-0.08	36%	19 Oct →
office	11–13	-0.06	23%	19 Oct →
ancient	13–8	-0.01	19%	18 Oct →
mirage	9–13	-0.02	14%	16 Oct →
dust2	3–13	-0.09	11%	16 Oct →
inferno	13–6	0.01	25%	16 Oct →
ancient	11–13	-0.05	21%	16 Oct →
mirage	13–11	0.08	16%	16 Oct →
nuke	13–3	-0.03	9%	16 Oct →
nuke	10–13	-0.05	13%	15 Oct →
overpass	8–13	-0.02	24%	15 Oct →
overpass	11–13	-0.05	16%	15 Oct →
overpass	13–10	-0.01	20%	13 Oct →
mirage	13–11	-0.02	13%	13 Oct →
nuke	13–5	0.05	13%	13 Oct →
ancient	13–11	-0.07	7%	13 Oct →
inferno	13–9	0.02	22%	12 Oct →
overpass	13–7	0.03	19%	12 Oct →
ancient	16–14	-0.02	11%	12 Oct →
mirage	13–3	-0.02	11%	12 Oct →
nuke	13–5	0.02	12%	12 Oct →
overpass	8–13	-0.07	16%	12 Oct →
dust2	13–4	0.01	19%	12 Oct →
ancient	13–5	-0.02	13%	12 Oct →
dust2	13–8	0.01	15%	12 Oct →
mirage	13–11	0.04	17%	12 Oct →
ancient	15–15	0.04	18%	12 Oct →
mirage	13–3	0.02	26%	12 Oct →
dust2	13–9	0.03	36%	11 Oct →
inferno	14–16	0.01	15%	11 Oct →
mirage	13–16	-0.03	13%	11 Oct →
train	2–8	-0.04	40%	11 Oct →
ancient	8–13	-0.04	20%	11 Oct →
mirage	6–13	-0.09	47%	10 Oct →
overpass	3–13	-0.05	20%	10 Oct →
mirage	8–13	-0.04	13%	10 Oct →
train	13–9	0.01	25%	10 Oct →