vallu

vallu — CS2 Stats

FI76561198106945643[U:1:146679915]Steam profile ↗✓ No bans

1,956Tracked matches30%Win rate2020Tracked since
CSDB Rating3.7 LearningPassive Rifler
FaceitLevel 8 · 1,762 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGvalluFACEITLevel 8 · 1,762 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning33
Utility50

0–100 skill scores via Leetify.

Recent form

COLD4852Last 10048%Win rateWWLLLWLLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.0
Aggression1.3
Utility5.0
Positioning3.3
Opening Duels0.0
Clutch4.2

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 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Reaction time. 593ms 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

Aim6.0
Positioning3.3
Utility5.0
Mechanics4.5
Opening Duels0.0
Win Impact0.0

Composite 3.7/10 (Learning), 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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time597ms+16ms
first ⅓ avg 581ms → last ⅓ avg 597ms
Headshot accuracy18.3%+1.7%
first ⅓ avg 16.7% → 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.

Highlights

0.11Best rating — inferno 13–5
133Biggest win — nuke
5Longest win streak
W2Current streak
1310In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 63% over 16dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC26101638%-0.02
ancientB21111052%-0.02
nukeA1610663%-0.01
infernoB137654%0.00
dust2D124833%-0.01
anubisC52340%-0.04
overpass41325%-0.01
train220100%0.01
cache110100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,492Matches
50%Win rate
0.93Avg K/D
73.3ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage53350%0.9414.5
Ancient23051%0.9214.0
Nuke17549%0.9714.3
Dust217245%0.8814.4
Anubis17152%0.8814.0
Inferno16748%0.9114.6
Train6560%0.9814.9
Overpass5951%0.9114.6

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.

18.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.5%Spray accuracy
70.3%Counter-strafing
9.6°Preaim
593msReaction time
20.8%T opening success
23.2%CT opening success
0.56Enemies flashed / flash
5.4%Flash assists
11.39HE damage / grenade
5.51Flashes / 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. 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 20.8447% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0115%28 Aug
nuke13–30.0116%22 Aug
ancient3–13-0.0627%21 Aug
mirage11–13-0.0219%20 Aug
dust214–16-0.0015%20 Aug
ancient13–80.0126%12 Aug
mirage4–13-0.0733%23 Jul
inferno10–13-0.0821%21 Jul
dust211–13-0.0418%21 Jul
inferno6–13-0.0112%15 Jul
mirage14–160.0124%15 Jul
ancient13–9-0.019%13 Jul
mirage16–130.0319%12 Jul
anubis7–13-0.0216%8 Jul
dust211–13-0.0525%1 Jul
ancient10–130.0217%30 Jun
overpass8–13-0.0425%29 Jun
ancient5–13-0.0617%26 Jun
ancient6–130.0426%13 Jun
nuke13–110.0118%12 Jun
dust213–110.0629%12 Jun
mirage2–13-0.0111%12 Jun
dust212–160.0216%11 Jun
anubis4–13-0.068%9 Jun
inferno13–50.1131%4 Jun
nuke10–13-0.0018%4 Jun
mirage14–16-0.0213%2 Jun
overpass11–130.0313%29 May
mirage9–13-0.069%29 May
ancient13–11-0.0811%29 May
ancient13–6-0.0110%29 May
mirage1–13-0.0914%28 May
ancient13–8-0.0420%28 May
nuke13–50.0319%28 May
ancient8–130.0218%22 May
mirage5–13-0.0720%22 May
mirage13–30.0721%21 May
inferno11–130.0119%19 May
inferno13–11-0.0012%14 May
mirage10–130.0125%11 May
nuke13–9-0.0120%10 May
mirage13–8-0.0413%8 May
cache13–80.0413%8 May
anubis13–10-0.009%6 May
dust29–13-0.0331%28 Apr
ancient6–13-0.0714%27 Apr
inferno19–170.0221%27 Apr
inferno6–13-0.0122%20 Apr
dust23–13-0.0115%17 Apr
dust28–13-0.0412%31 Mar
mirage13–110.0019%31 Mar
overpass7–13-0.0316%31 Mar
ancient13–9-0.0421%30 Mar
inferno13–90.0211%29 Mar
ancient13–6-0.0315%19 Mar
inferno9–130.0226%19 Mar
nuke2–13-0.087%16 Mar
dust213–70.0517%12 Mar
ancient13–10-0.0118%11 Mar
mirage6–13-0.0811%10 Mar
mirage31–29-0.0713%10 Mar
nuke13–11-0.0012%10 Mar
mirage11–130.0331%9 Mar
mirage11–13-0.017%5 Mar
mirage13–3-0.0221%5 Mar
inferno6–13-0.0314%5 Mar
nuke13–60.0927%5 Mar
ancient10–13-0.1016%4 Mar
ancient13–90.0413%25 Feb
anubis10–13-0.0922%24 Feb
ancient9–13-0.0616%22 Feb
ancient10–13-0.066%20 Feb
inferno13–11-0.0124%19 Feb
nuke19–170.0220%19 Feb
mirage13–60.018%11 Feb
dust216–12-0.0516%2 Feb
nuke5–13-0.0419%28 Jan
inferno13–8-0.0320%19 Jan
anubis13–5-0.0518%17 Jan
dust219–16-0.0625%14 Jan
mirage22–19-0.0210%5 Jan
train16–13-0.0118%2 Jan
mirage4–13-0.0618%2 Jan
dust210–13-0.0022%15 Dec
nuke5–13-0.0617%14 Dec
inferno13–60.0522%3 Dec
mirage8–130.0817%3 Dec
ancient13–80.0019%3 Dec
nuke7–13-0.0915%25 Nov
nuke13–60.0010%23 Nov
train13–90.0315%22 Nov
mirage13–8-0.0211%21 Nov
nuke13–110.0317%18 Nov
ancient10–13-0.0213%13 Nov
mirage7–13-0.0725%12 Nov
mirage13–11-0.0026%31 Oct
overpass13–11-0.009%23 Oct
mirage13–16-0.0316%22 Oct
ancient13–70.0415%22 Oct
nuke2–13-0.0712%22 Oct

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →