R3V0CHI

R3V0CHI — CS2 Stats

JM76561198407140617[U:1:446874889]Steam profile ↗✓ No bans

552Tracked matches61%Win rate2025Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating24,877Top 25% of 175,286 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#21856 of 221175 tracked
FaceitLevel 7 · 1,060 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 13 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,877 +2,174 25 Aug13 Sept · 9 days played
22,59325,107peak 25,10725 Aug13 Sept
Faceit ELO: 1,060 +0 30 Aug9 Sept · 3 observations
1,0601,060peak 1,06030 Aug9 Sept
25,107Peak Premier in tracked matches
1,060Highest Faceit ELO seen on CSDB
44Days played since 2026-07-13

Faceit ELO

  • At peak — 1,060
  • Next: Level 6 at 1,201 141 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-30
  • Level 4 first seen 2026-08-30

Premier CS Rating

  • 230 below peak (25,107)
  • Next: Red band at 25,000 123 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-09
  • Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGR3V0CHIFACEITLevel 7 · 1,060 ELOSTANDINGTop 42.3% of rankedPREMIER24,877 · Pink bandPEAK ELO1,060csdb.gg/stats

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

Aim67
Positioning48
Utility35

0–100 skill scores via Leetify.

Recent form

HOT56368Last 10056%Win rateLLLWWWWWWW

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · −4.6pp headshot accuracy · +64ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 553ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 588ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 556ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.7
Utility3.5
Positioning4.8
Opening Duels1.8
Clutch3.0

Limited utility dependence

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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. 571ms 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

Aim6.7
Positioning4.8
Utility3.5
Mechanics5.4
Opening Duels1.0
Win Impact8.6

Composite 5.4/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time566ms−62ms
first ⅓ avg 628ms → last ⅓ avg 566ms
Headshot accuracy18.3%−0.5%
first ⅓ avg 18.8% → last ⅓ avg 18.3%

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

0.29Best match rating · 9–0 · inferno, 30 Aug
36%Best headshot accuracy · 13–10 · inferno, 15 Aug
352msFastest reaction time · 9–0 · inferno, 30 Aug
13–1Biggest win · anubis, 22 Jul

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
95In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 61% over 31infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA31191261%0.00
dust2B179853%-0.01
infernoC156940%-0.02
nukeA106460%-0.00
cacheA106460%0.01
anubisA53260%0.03
overpassA53260%0.01
ancient32167%-0.01
vertigo220100%0.05
train1010%-0.04
office1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

124Matches
52%Win rate
1.06Avg K/D
80.4ADR
50%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4262%1.1516.1
Dust22343%1.0017.0
Inferno120%0.6310.0
Nuke1060%1.2917.8
Cache1090%1.1420.2
Anubis729%0.9413.7
Ancient729%1.0420.1
Overpass1100%2.0923.0

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.

17.4%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.6%Spray accuracy
74.3%Counter-strafing
9.9°Preaim
571msReaction time
28.4%T opening success
37.6%CT opening success
0.49Enemies flashed / flash
1.7%Flash assists
6.09HE damage / grenade
4.83Flashes / 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.

  1. 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 0.4878 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 28.4274% — below the 40% mark we flag

Spend your practice time on Inferno

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0719%14 Sept
mirage2–13-0.0720%13 Sept
mirage8–13-0.0413%11 Sept
nuke13–8-0.038%8 Sept
mirage13–10-0.048%8 Sept
dust213–60.0214%8 Sept
dust213–2-0.079%6 Sept
anubis13–20.0517%6 Sept
inferno16–12-0.0519%6 Sept
mirage13–70.0421%6 Sept
mirage13–20.0325%5 Sept
ancient13–20.0416%5 Sept
dust24–13-0.0618%5 Sept
cache11–130.0325%5 Sept
anubis7–13-0.0316%4 Sept
mirage13–110.0022%4 Sept
nuke10–13-0.0614%4 Sept
ancient22–19-0.0517%1 Sept
inferno11–13-0.0414%1 Sept
inferno9–00.2927%30 Aug
inferno1–13-0.0726%30 Aug
inferno10–13-0.0519%30 Aug
dust212–12-0.0020%30 Aug
mirage11–13-0.0510%30 Aug
dust212–12-0.0322%26 Aug
cache13–11-0.0015%25 Aug
dust213–5-0.0026%25 Aug
mirage13–110.0119%24 Aug
dust213–90.0218%23 Aug
dust213–7-0.0317%22 Aug
mirage13–60.1016%21 Aug
cache12–12-0.0125%20 Aug
inferno12–120.0429%20 Aug
cache28–260.0115%19 Aug
mirage3–13-0.0220%19 Aug
mirage16–12-0.0116%18 Aug
nuke8–13-0.0320%17 Aug
nuke12–120.0318%17 Aug
mirage10–130.0533%15 Aug
inferno13–10-0.0836%15 Aug
ancient10–13-0.0315%15 Aug
overpass7–13-0.0122%13 Aug
cache13–40.0835%13 Aug
nuke13–6-0.0627%11 Aug
mirage13–10-0.0317%11 Aug
mirage13–2-0.0020%10 Aug
inferno4–13-0.0331%9 Aug
mirage7–13-0.0429%9 Aug
cache7–13-0.0932%8 Aug
dust213–30.0330%8 Aug
mirage13–60.0336%8 Aug
train12–12-0.0421%8 Aug
mirage7–13-0.0620%7 Aug
inferno13–16-0.0517%6 Aug
dust211–130.0229%6 Aug
mirage13–100.1415%5 Aug
cache13–110.0316%5 Aug
mirage13–110.0122%3 Aug
dust21–13-0.0627%3 Aug
nuke9–70.0911%2 Aug
mirage8–13-0.0719%2 Aug
dust27–130.0113%2 Aug
mirage7–13-0.0611%2 Aug
mirage13–100.0020%2 Aug
inferno4–13-0.095%31 Jul
mirage13–80.0328%30 Jul
cache13–110.0011%30 Jul
inferno13–5-0.0220%29 Jul
dust27–13-0.1021%28 Jul
mirage10–13-0.0221%28 Jul
nuke13–9-0.0215%28 Jul
inferno13–6-0.039%27 Jul
nuke13–110.0228%26 Jul
mirage13–50.0718%26 Jul
overpass13–30.0314%25 Jul
overpass13–100.0124%25 Jul
inferno13–80.0429%25 Jul
mirage13–60.0212%24 Jul
anubis9–130.0211%23 Jul
overpass3–13-0.0221%23 Jul
cache13–30.1514%23 Jul
inferno2–9-0.0810%23 Jul
cache9–13-0.0913%22 Jul
dust213–5-0.0231%22 Jul
vertigo13–50.0418%22 Jul
vertigo13–80.0623%22 Jul
mirage12–12-0.0120%22 Jul
anubis13–60.0713%22 Jul
anubis13–10.0712%22 Jul
nuke11–13-0.0021%22 Jul
dust27–13-0.0322%20 Jul
dust216–120.0117%19 Jul
nuke13–80.0421%19 Jul
office5–13-0.0423%19 Jul
overpass13–30.0416%19 Jul
mirage13–80.0117%19 Jul
dust213–90.0530%16 Jul
inferno12–12-0.0317%13 Jul
mirage13–4-0.0116%13 Jul
mirage13–20.1423%13 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →