reViloX — CS2 Stats

76561198320285241[U:1:360019513]Steam profile ↗✓ No bans

1,618Tracked matches33%Win rate2023Tracked since

CSDB Rating3.1 LearningSupport

CSDB Leaderboard#235558 of 247982 tracked

FaceitLevel 4 · 1,415 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim42

Positioning46

Utility49

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLWLLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +1.9pp headshot accuracy · −1ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 533ms

Last 10

1–9 · 10% win rate
Avg rating -0.04
Avg headshot accuracy 13%
Avg reaction 522ms

Last 20

6–14 · 30% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 522ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim4.2

Utility4.9

Positioning4.6

Opening Duels2.0

Clutch3.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 52% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning4.6

Utility4.9

Mechanics2.1

Opening Duels2.7

Win Impact0.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time552ms−29ms

first ⅓ avg 581ms → last ⅓ avg 552ms

Headshot accuracy11.6%−3.2%

first ⅓ avg 14.9% → last ⅓ avg 11.6%

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.

Personal bests

0.17Best match rating · 9–2 · inferno, 13 May →

28%Best headshot accuracy · 5–13 · ancient, 17 Apr →

375msFastest reaction time · 19–15 · nuke, 8 Jul →

13–0Biggest win · nuke, 24 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak

5–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 72% over 29ancientWeakest map · 27% over 26

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	29	21–8	72%	-0.01
ancient	D	26	7–19	27%	-0.01
inferno	C	18	8–10	44%	-0.01
nuke	B	14	7–7	50%	-0.02
overpass	—	3	1–2	33%	-0.04
cache	—	3	2–1	67%	-0.00
vertigo	—	2	1–1	50%	-0.08
poseidon	—	2	1–1	50%	-0.03
dust2	—	1	0–1	0%	-0.09
warden	—	1	0–1	0%	-0.05
sanctum	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 26). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

977Matches

49%Win rate

0.84Avg K/D

65.0ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	278	54%	0.85	12.8
Anubis	211	55%	0.86	13.6
Inferno	198	46%	0.81	12.7
Nuke	163	47%	0.84	12.5
Dust2	66	38%	0.86	12.4
Overpass	22	41%	0.69	13.2
Train	21	38%	0.70	11.9
Mirage	12	25%	0.82	12.7

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.

11.6%Headshot accuracy

35.3%Accuracy (enemy spotted)

37.8%Spray accuracy

59.4%Counter-strafing

12.8°Preaim

531msReaction time

16.3%T opening success

51.5%CT opening success

0.42Enemies flashed / flash

4.3%Flash assists

9.28HE damage / grenade

6.26Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.845° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.6138% — below the 15% 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 0.4185 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

27% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	-0.08	17%	19 Sept →
anubis	13–10	-0.03	17%	31 Aug →
anubis	8–13	-0.01	11%	31 Aug →
anubis	10–13	-0.03	7%	31 Aug →
ancient	7–13	-0.01	13%	31 Aug →
nuke	9–13	-0.05	14%	31 Aug →
anubis	5–13	-0.09	18%	28 Aug →
inferno	11–13	-0.03	9%	28 Aug →
anubis	9–13	-0.04	11%	23 Aug →
ancient	11–13	-0.05	17%	23 Aug →
anubis	13–10	0.03	12%	23 Aug →
vertigo	10–13	-0.06	19%	21 Aug →
ancient	11–13	-0.03	15%	21 Aug →
anubis	16–13	0.01	19%	8 Aug →
inferno	16–12	-0.04	18%	8 Aug →
anubis	13–11	-0.00	6%	22 Jul →
anubis	13–16	-0.06	14%	8 Jul →
ancient	9–13	0.01	0%	8 Jul →
nuke	19–15	-0.04	4%	8 Jul →
nuke	3–13	-0.02	6%	8 Jul →
ancient	19–17	-0.05	5%	8 Jul →
anubis	13–8	-0.04	5%	7 Jul →
ancient	13–10	0.02	10%	5 Jul →
inferno	9–13	-0.05	17%	2 Jul →
inferno	13–3	0.00	13%	2 Jul →
ancient	4–13	-0.01	8%	2 Jul →
dust2	4–13	-0.09	17%	30 Jun →
ancient	4–13	-0.06	15%	16 Jun →
ancient	3–13	-0.01	5%	16 Jun →
ancient	6–13	-0.04	12%	16 Jun →
nuke	5–13	-0.04	10%	16 Jun →
inferno	16–14	-0.03	17%	16 Jun →
anubis	13–8	-0.03	7%	15 Jun →
ancient	13–1	0.02	23%	15 Jun →
overpass	3–13	-0.06	13%	14 Jun →
inferno	11–13	-0.04	17%	1 Jun →
nuke	9–13	-0.09	10%	31 May →
anubis	13–3	0.08	8%	30 May →
anubis	16–13	0.05	13%	26 May →
inferno	11–13	-0.04	9%	26 May →
anubis	13–6	-0.06	12%	24 May →
anubis	13–9	0.05	15%	23 May →
anubis	13–10	-0.04	15%	23 May →
ancient	10–13	-0.06	18%	22 May →
anubis	13–6	0.01	28%	20 May →
nuke	19–22	-0.07	11%	19 May →
ancient	11–13	0.02	23%	18 May →
nuke	13–2	-0.01	10%	18 May →
inferno	9–13	-0.02	4%	18 May →
warden	6–13	-0.05	15%	18 May →
anubis	13–10	-0.01	16%	16 May →
inferno	13–9	0.03	20%	16 May →
ancient	7–13	-0.01	27%	16 May →
anubis	13–10	-0.00	15%	14 May →
ancient	13–10	0.07	19%	13 May →
poseidon	9–5	0.03	11%	13 May →
sanctum	9–6	0.01	26%	13 May →
poseidon	8–8	-0.08	21%	13 May →
vertigo	9–4	-0.11	15%	13 May →
overpass	9–5	-0.01	18%	13 May →
nuke	6–9	0.04	9%	13 May →
inferno	9–2	0.17	26%	13 May →
ancient	12–16	-0.06	11%	6 May →
inferno	4–13	-0.08	13%	6 May →
anubis	13–9	-0.02	18%	5 May →
ancient	11–13	0.04	15%	3 May →
cache	6–13	-0.08	5%	29 Apr →
cache	13–11	0.04	15%	29 Apr →
ancient	13–8	0.05	10%	25 Apr →
anubis	11–13	-0.06	12%	25 Apr →
anubis	13–10	-0.01	13%	25 Apr →
inferno	11–13	-0.04	18%	25 Apr →
ancient	8–13	-0.04	16%	25 Apr →
cache	13–3	0.04	7%	25 Apr →
inferno	13–8	-0.05	20%	25 Apr →
ancient	13–7	0.09	11%	25 Apr →
anubis	13–10	0.01	17%	24 Apr →
nuke	13–0	0.05	10%	24 Apr →
nuke	13–1	0.06	15%	24 Apr →
nuke	13–8	-0.03	15%	23 Apr →
ancient	17–19	0.03	20%	21 Apr →
nuke	13–7	0.04	13%	21 Apr →
overpass	12–16	-0.05	20%	21 Apr →
inferno	13–7	-0.03	4%	18 Apr →
anubis	16–13	0.00	16%	18 Apr →
ancient	10–13	-0.10	24%	18 Apr →
ancient	11–13	-0.03	23%	18 Apr →
ancient	13–8	-0.06	11%	18 Apr →
anubis	8–13	-0.06	15%	18 Apr →
anubis	13–8	-0.01	14%	18 Apr →
nuke	13–7	-0.04	9%	18 Apr →
nuke	13–16	-0.02	12%	18 Apr →
ancient	5–13	-0.02	28%	17 Apr →
inferno	5–13	-0.06	16%	17 Apr →
inferno	16–13	-0.01	9%	16 Apr →
ancient	5–13	-0.04	19%	16 Apr →
inferno	10–13	-0.00	17%	12 Apr →
anubis	13–8	0.11	19%	12 Apr →
inferno	7–13	0.05	22%	12 Apr →
anubis	13–11	-0.07	3%	11 Apr →