Valenor

Valenor — CS2 Stats

FR76561199409689844[U:1:1449424116]Steam profile ↗

533Tracked matches40%Win rate2025Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 8 · 949 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGValenorFACEITLevel 8 · 949 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning52
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY5347Last 10053%Win rateWWLWLWLLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.6
Aggression4.7
Utility4.1
Positioning5.2
Opening Duels1.4
Clutch3.0

Sharp aimerStrong CT-side openerLimited 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.

Your pro match

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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 50% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim8.6
Positioning5.2
Utility4.1
Mechanics7.8
Opening Duels2.5
Win Impact1.7

Composite 5.2/10 (Developing), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time586ms−60ms
first ⅓ avg 646ms → last ⅓ avg 586ms
Headshot accuracy21.8%+3.2%
first ⅓ avg 18.6% → last ⅓ avg 21.8%

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

0.30Best rating — inferno 9–1
131Biggest win — mirage
6Longest win streak
W2Current streak
810In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageS2718967%0.01
dust2A27151256%0.00
infernoD1641225%0.01
ancientB136746%0.00
anubisC73443%-0.02
nukeS75271%0.04
cache21150%-0.04
overpass110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

722Matches
49%Win rate
1.08Avg K/D
81.1ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20944%1.1016.5
Dust219049%1.1116.9
Ancient8755%1.0817.2
Inferno8250%0.9815.4
Anubis7855%1.1216.5
Nuke4955%1.0217.7
Overpass2035%0.9815.2
Cache667%0.9014.0

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.

21.4%Headshot accuracy
39.6%Accuracy (enemy spotted)
42.7%Spray accuracy
85.2%Counter-strafing
9.8°Preaim
585msReaction time
21.5%T opening success
49.8%CT opening success
0.37Enemies flashed / flash
8.3%Flash assists
9.94HE damage / grenade
4.31Flashes / 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 0.3746 — 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 21.4571% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–70.0147%28 Aug
inferno13–70.0433%28 Aug
inferno13–160.0127%26 Aug
mirage13–50.0518%26 Aug
inferno11–130.0521%25 Aug
inferno9–10.3044%19 Aug
ancient8–13-0.0313%18 Aug
ancient9–13-0.0021%17 Aug
anubis11–13-0.0018%15 Aug
mirage9–13-0.0416%14 Aug
dust211–13-0.0130%14 Aug
nuke13–100.0226%12 Aug
mirage12–16-0.0018%10 Aug
inferno10–13-0.047%9 Aug
mirage5–13-0.0116%8 Aug
mirage8–130.1024%6 Aug
nuke13–50.2231%6 Aug
inferno8–13-0.0213%6 Aug
dust29–13-0.0414%6 Aug
inferno7–13-0.0220%20 Jul
ancient10–13-0.0026%18 Jul
ancient13–7-0.0115%14 Jul
mirage13–100.0216%13 Jul
ancient13–70.0618%12 Jul
cache13–110.0117%11 Jul
cache2–13-0.0910%10 Jul
inferno5–13-0.1021%10 Jul
dust26–13-0.0223%9 Jul
mirage13–6-0.0217%9 Jul
mirage13–70.0535%5 Jul
ancient13–40.0732%5 Jul
inferno16–19-0.0321%26 Jun
mirage16–140.0114%30 May
ancient13–80.0319%30 May
dust26–13-0.0024%29 May
dust213–100.0215%28 May
mirage13–80.0618%28 May
mirage13–40.0321%24 May
mirage2–13-0.0833%24 May
mirage13–70.0229%22 May
mirage13–8-0.0524%15 May
nuke13–10-0.0123%15 May
ancient13–70.0421%15 May
mirage11–130.0718%14 May
inferno4–130.0431%14 May
inferno13–40.1225%9 May
inferno13–100.0026%5 May
nuke11–13-0.0527%5 May
anubis13–110.0025%3 May
mirage5–13-0.0222%3 May
dust27–13-0.0211%3 May
ancient11–13-0.0122%29 Apr
dust213–8-0.0414%27 Apr
inferno4–13-0.0726%25 Apr
anubis10–13-0.0515%24 Apr
dust29–130.0144%23 Apr
anubis9–13-0.0914%23 Apr
ancient10–13-0.016%21 Apr
dust213–90.0124%20 Apr
dust213–90.0214%13 Apr
mirage13–80.0324%6 Apr
mirage13–3-0.0417%6 Apr
mirage16–130.0321%6 Apr
ancient14–16-0.0725%3 Apr
mirage13–11-0.0334%2 Apr
dust213–110.0318%1 Apr
overpass13–80.0328%28 Mar
dust211–13-0.0220%28 Mar
nuke13–4-0.0225%21 Mar
inferno8–13-0.0617%15 Mar
dust210–130.0116%14 Mar
dust213–110.035%14 Mar
inferno12–16-0.0013%14 Mar
dust210–13-0.0222%13 Mar
dust213–40.1033%9 Mar
dust213–9-0.1018%27 Feb
mirage13–80.0724%27 Feb
dust213–3-0.0114%26 Feb
ancient5–13-0.0717%22 Feb
nuke8–130.0714%20 Feb
inferno6–13-0.1013%19 Feb
nuke13–110.0623%19 Feb
mirage13–50.027%19 Feb
dust210–130.0316%16 Feb
mirage13–10.0729%15 Feb
dust213–50.039%14 Feb
dust211–13-0.0313%12 Feb
dust213–110.0520%8 Feb
anubis13–40.0420%7 Feb
dust24–13-0.0321%3 Feb
anubis9–13-0.0312%31 Jan
dust213–7-0.0743%31 Jan
dust213–30.0216%25 Jan
mirage13–4-0.0127%25 Jan
anubis13–5-0.0214%23 Jan
ancient13–50.0323%23 Jan
dust213–30.0622%23 Jan
mirage11–13-0.0023%16 Jan
dust213–6-0.0011%16 Jan
mirage0–8-0.0515%10 Jan

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 →