Walli

Walli — CS2 Stats

76561198065601065[U:1:105335337]Steam profile ↗✓ No bans

2,090Tracked matches53%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,546 → 2,546
+12Tracked matches · now 2,090
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 26,830 +1,186 5 Jul – 12 Jan · 18 days played
22,43527,216peak 27,2165 Jul12 Jan
Faceit ELO: 2,546 +0 3 Sept – 18 Sept · 2 observations
2,5462,546peak 2,5463 Sept18 Sept
27,462Peak Premier in tracked matches
2,546Highest Faceit ELO seen on CSDB
59Days played since 2025-07-05

Faceit ELO

  • At peak — 2,546
  • Next: 3,000 ELO at 3,000 — 454 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-03
  • Level 10 first seen 2026-09-03

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.

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CSDB.GGWalliPEAK ELO2,546csdb.gg/stats

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Performance scores

Aim81
Positioning54
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateLLLLWLWWLW

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −1.3pp headshot accuracy · +16ms 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 -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 612ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

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 (+1.5 against its own average).

Aim8.1
Utility6.7
Positioning5.4
Opening Duels4.8
Clutch4.0

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

device

Plays most like device 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 567ms 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

Aim8.1
Positioning5.4
Utility6.7
Mechanics7.2
Opening Duels4.0
Win Impact6.1

Composite 6.7/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time566ms−7ms
first ⅓ avg 573ms → last ⅓ avg 566ms
Headshot accuracy21.2%+0.9%
first ⅓ avg 20.3% → last ⅓ avg 21.2%

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

0.16Best match rating · 13–5 · overpass, 24 Apr →
39%Best headshot accuracy · 4–13 · mirage, 15 Dec →
406msFastest reaction time · 13–7 · nuke, 13 Nov →
13–1Biggest win · cache, 14 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
8–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 83% over 12ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%-0.01
mirageB209–1145%-0.01
nukeS1512–380%0.00
overpassS1210–283%0.02
ancientD82–625%0.01
anubisC73–443%0.01
infernoC52–340%0.02
trainA53–260%0.01
cache—32–167%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,956Matches
53%Win rate
1.10Avg K/D
79.8ADR
52%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis17556%1.0616.5
Mirage10347%0.9814.2
Nuke8864%1.0315.3
Ancient7743%0.9715.4
Dust25050%0.9314.1
Overpass4875%1.3216.3
Inferno4445%0.9715.8
Vertigo4367%1.1817.6

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.

21.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
39.7%Spray accuracy
82.5%Counter-strafing
9.4°Preaim
567msReaction time
39.5%T opening success
52.4%CT opening success
0.68Enemies flashed / flash
9.6%Flash assists
7.66HE damage / grenade
16.72Flashes / 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 39.4703% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0712%15 Aug →
inferno10–130.0230%8 Aug →
ancient14–160.0520%8 Aug →
dust211–13-0.0218%2 Aug →
nuke13–8-0.0131%1 Aug →
cache8–130.0311%27 Jul →
cache13–20.0624%22 Jun →
ancient13–90.0614%19 Jun →
ancient11–13-0.0128%18 Jun →
nuke13–11-0.0123%9 Jun →
nuke16–140.009%7 Jun →
cache13–10.1433%14 May →
overpass13–100.0428%11 May →
overpass13–60.0618%9 May →
inferno16–120.0319%25 Apr →
overpass13–60.0322%25 Apr →
anubis10–13-0.0436%24 Apr →
overpass13–50.1616%24 Apr →
inferno13–50.0519%13 Apr →
inferno6–130.0024%7 Apr →
ancient8–130.0116%5 Apr →
nuke7–130.0423%19 Mar →
anubis9–130.0120%1 Mar →
anubis13–110.0716%26 Feb →
dust27–13-0.0720%26 Feb →
mirage17–19-0.0423%12 Feb →
mirage17–19-0.0423%12 Feb →
anubis13–50.0532%9 Feb →
nuke3–00.010%9 Feb →
nuke13–7-0.0125%2 Feb →
mirage4–13-0.0120%2 Feb →
anubis13–60.0927%2 Feb →
dust215–150.0119%24 Jan →
mirage13–10.0520%24 Jan →
dust24–130.0127%12 Jan →
train13–6-0.0014%12 Jan →
dust213–9-0.0016%11 Jan →
overpass4–13-0.0211%11 Jan →
train13–100.1026%30 Dec →
dust213–7-0.0215%29 Dec →
mirage13–90.0617%20 Dec →
overpass13–20.0231%20 Dec →
dust24–13-0.0714%17 Dec →
dust213–90.0438%15 Dec →
nuke13–3-0.0318%15 Dec →
mirage4–13-0.0239%15 Dec →
mirage13–90.0425%15 Dec →
dust25–130.0039%11 Dec →
train8–13-0.0423%11 Dec →
dust211–130.0129%8 Dec →
dust213–9-0.0029%6 Dec →
nuke13–7-0.0218%13 Nov →
mirage9–13-0.0318%10 Nov →
dust213–90.0533%10 Nov →
overpass13–40.0315%10 Nov →
nuke13–40.0426%3 Nov →
dust213–30.0418%8 Oct →
dust213–11-0.0535%22 Sept →
mirage13–40.0623%22 Sept →
overpass13–11-0.0710%7 Sept →
mirage13–80.0423%7 Sept →
dust213–7-0.0416%7 Sept →
ancient10–130.0129%2 Sept →
mirage13–3-0.0314%2 Sept →
overpass4–13-0.0318%2 Sept →
ancient8–13-0.0617%26 Aug →
dust213–10-0.0324%26 Aug →
dust213–7-0.0213%26 Aug →
nuke16–140.0326%21 Aug →
overpass16–140.0227%21 Aug →
dust27–13-0.0322%11 Aug →
mirage13–10-0.0317%11 Aug →
dust213–50.0425%11 Aug →
nuke9–130.0014%10 Aug →
overpass13–70.0030%10 Aug →
mirage10–13-0.0215%9 Aug →
nuke10–13-0.0314%9 Aug →
dust27–130.0127%9 Aug →
overpass13–20.0025%8 Aug →
mirage15–150.0323%5 Aug →
dust211–13-0.0518%2 Aug →
nuke13–10-0.0127%2 Aug →
dust211–130.0316%31 Jul →
mirage4–13-0.0717%31 Jul →
train2–13-0.0529%28 Jul →
dust26–13-0.0726%22 Jul →
nuke13–110.0326%21 Jul →
ancient3–13-0.0516%20 Jul →
mirage10–13-0.0420%19 Jul →
nuke13–9-0.0219%19 Jul →
dust213–6-0.0216%19 Jul →
mirage13–40.0132%19 Jul →
train13–80.0519%15 Jul →
mirage14–16-0.0422%14 Jul →
anubis2–13-0.047%14 Jul →
dust216–13-0.0328%14 Jul →
mirage13–9-0.0812%14 Jul →
ancient13–20.1110%5 Jul →
mirage11–130.0214%5 Jul →
inferno9–130.0218%5 Jul →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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