walle

walle — CS2 Stats

76561199593403901[U:1:1633138173]Steam profile ↗✓ No bans

1,094Tracked matches67%Win rate2024Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 6 · 1,254 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 27 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,664 +1,828 29 Jan30 Jun · 33 days played
12,83615,698peak 15,69829 Jan30 Jun
15,851Peak Premier in tracked matches
1,254Highest Faceit ELO seen on CSDB
43Days played since 2026-01-27

Faceit ELO

  • At peak — 1,254
  • Next: Level 7 at 1,351 97 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGwalleFACEITLevel 6 · 1,254 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,254csdb.gg/stats

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Performance scores

Aim50
Positioning47
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY60355Last 10060%Win rateLLLWWWTWWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · +26ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 722ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 656ms

Last 20

  • 1352 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

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

Aim5.0
Utility6.6
Positioning4.7
Opening Duels3.1
Clutch5.8

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

jL

Plays most like jL 72% 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

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim5.0
Positioning4.7
Utility6.6
Mechanics5.1
Opening Duels2.3
Win Impact10.0

Composite 4.9/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time645ms−17ms
first ⅓ avg 662ms → last ⅓ avg 645ms
Headshot accuracy19.1%+0.6%
first ⅓ avg 18.5% → last ⅓ avg 19.1%

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

0.23Best match rating · 9–2 · inferno, 30 Jan
50%Best headshot accuracy · 4–0 · mirage, 21 Jun
352msFastest reaction time · 4–0 · mirage, 21 Jun
13–1Biggest win · ancient, 5 Feb

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
1310In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 75% over 12infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA33191458%-0.01
ancientA1710759%0.02
nukeS1611569%0.01
dust2S129375%0.03
anubisA117464%0.02
infernoC104640%0.02
cache1010%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
52%Win rate
1.05Avg K/D
82.8ADR
46%Headshot %

Clutches & streaks

49%1v1 clutch win
30%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2564%1.0916.0
Nuke2245%1.0317.4
Ancient1547%1.0419.9
Dust2850%0.9915.6
Inferno250%1.0525.0
Train250%1.1416.0
Anubis10%0.7911.0

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.

18.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.0%Spray accuracy
72.8%Counter-strafing
10.7°Preaim
643msReaction time
31.1%T opening success
47.1%CT opening success
0.61Enemies flashed / flash
7.7%Flash assists
11.46HE damage / grenade
15.89Flashes / 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 31.1241% — 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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage1–6-0.070%4 Aug
mirage10–13-0.0325%28 Jul
mirage9–13-0.0319%28 Jul
inferno13–30.0733%28 Jul
dust213–80.0621%18 Jul
mirage13–8-0.0013%8 Jul
mirage15–150.0326%30 Jun
mirage13–8-0.0110%21 Jun
anubis13–70.0714%21 Jun
mirage4–00.0050%21 Jun
dust214–160.0414%20 Jun
ancient13–10-0.0015%17 Jun
mirage13–9-0.0216%17 Jun
nuke13–110.0418%11 Jun
mirage13–6-0.0216%11 Jun
anubis9–130.0313%11 Jun
mirage13–80.0115%10 Jun
dust213–10-0.0226%10 Jun
nuke15–15-0.0127%8 Jun
nuke13–80.0820%6 Jun
mirage13–6-0.0314%6 Jun
ancient9–13-0.0115%3 Jun
mirage13–40.0817%3 Jun
mirage13–30.0816%3 Jun
mirage15–15-0.0522%4 May
cache10–130.0028%4 May
mirage2–13-0.0615%25 Apr
mirage13–80.0415%17 Apr
mirage11–13-0.0213%5 Apr
anubis13–7-0.0319%5 Apr
anubis11–130.0225%5 Apr
dust213–40.0416%4 Apr
dust213–90.0625%1 Apr
mirage13–11-0.0324%1 Apr
dust216–14-0.0416%31 Mar
ancient14–16-0.0225%24 Mar
dust28–130.0222%13 Mar
ancient13–70.0528%11 Mar
nuke6–13-0.0419%3 Mar
inferno8–80.1428%3 Mar
anubis13–110.0020%3 Mar
nuke13–40.0318%25 Feb
mirage13–4-0.0226%25 Feb
ancient14–160.0019%23 Feb
nuke9–13-0.048%22 Feb
anubis8–13-0.0423%21 Feb
nuke22–20-0.0013%21 Feb
nuke5–13-0.0310%19 Feb
mirage9–130.0114%19 Feb
inferno3–9-0.1218%19 Feb
mirage13–110.0427%16 Feb
nuke13–110.0637%12 Feb
ancient11–13-0.0121%12 Feb
mirage8–13-0.0432%12 Feb
ancient11–13-0.0524%11 Feb
dust213–110.0612%9 Feb
anubis4–13-0.0210%9 Feb
nuke13–6-0.0124%7 Feb
mirage13–60.0114%7 Feb
nuke11–13-0.0210%6 Feb
inferno9–13-0.0511%5 Feb
ancient13–10.1013%5 Feb
ancient13–110.0719%3 Feb
anubis13–70.0615%3 Feb
ancient13–40.0531%3 Feb
anubis13–50.0730%2 Feb
inferno10–130.0111%2 Feb
mirage9–130.0313%2 Feb
anubis13–80.0718%31 Jan
ancient13–100.0322%31 Jan
inferno9–40.0718%31 Jan
nuke13–5-0.0218%31 Jan
mirage13–6-0.0330%31 Jan
nuke13–80.0521%30 Jan
dust213–70.0511%30 Jan
mirage11–13-0.076%30 Jan
mirage13–70.069%30 Jan
ancient13–30.0915%30 Jan
inferno9–7-0.0916%30 Jan
inferno9–20.2321%30 Jan
mirage12–12-0.0232%30 Jan
ancient8–130.0412%30 Jan
inferno7–9-0.0714%30 Jan
mirage13–7-0.0117%30 Jan
inferno9–130.0014%30 Jan
nuke13–100.0231%29 Jan
ancient16–120.0624%29 Jan
mirage13–4-0.0428%29 Jan
dust26–130.0712%29 Jan
nuke13–80.0116%29 Jan
dust213–90.0021%29 Jan
nuke13–50.0715%29 Jan
mirage9–13-0.058%29 Jan
ancient13–11-0.0018%29 Jan
anubis13–80.0318%29 Jan
mirage13–11-0.0224%28 Jan
ancient9–130.0423%28 Jan
mirage7–13-0.0520%27 Jan
ancient13–11-0.0115%27 Jan
dust213–60.0128%27 Jan

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 →