Wallie

Wallie — CS2 Stats

DE76561198048645441[U:1:88379713]Steam profile ↗✓ No bans

1,398Tracked matches38%Win rate2020Tracked since
2,763Hours in CS5Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
Premier CS Rating14,448Blue band · top ~31.3% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,398 tracked matches. 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. 45 days played since 10 Mar 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: 14,448 -1,186 10 Mar – 25 Sept · 30 days played
14,44818,169peak 18,16910 Mar25 Sept
18,321Peak Premier in tracked matches
45Days played since 2026-03-10

Premier CS Rating

  • 3,721 below peak (18,169)
  • -552 over 90 days
  • Next: Purple band at 15,000 — 552 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-23

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,362), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate37.7%43.8%44.8%7.1% short
Shot accuracy17.6%12.1%12.5%above
Kill/death ratio0.871.021.030.16 short
Match win rate43.5%44.7%45.2%1.7% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWallieFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,448 · Blue bandcsdb.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

Aim43
Positioning44
Utility40

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateLWTLLLLLLL

Last 10 vs previous 10: −60pp win rate · −0.04 avg rating · +2.7pp headshot accuracy · +15ms reaction

Win rate down 60pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 595ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 580ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim4.3
Utility4.0
Positioning4.4
Opening Duels1.8
Clutch0.2

Strong 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.

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 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.3
Positioning4.4
Utility4.0
Mechanics4.4
Opening Duels2.3
Win Impact1.0

Composite 3.6/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time609ms−55ms
first ⅓ avg 664ms → last ⅓ avg 609ms
Headshot accuracy12.4%−2.0%
first ⅓ avg 14.4% → last ⅓ avg 12.4%

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

0.07Best match rating · 13–3 · mirage, 1 Sept →
36%Best headshot accuracy · 2–13 · dust2, 1 Sept →
461msFastest reaction time · 2–13 · mirage, 20 Aug →
13–3Biggest win · mirage, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 58% over 12nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD217–1433%-0.02
ancientC187–1139%-0.02
dust2C156–940%-0.02
cacheA127–558%-0.03
anubisD124–833%-0.01
nukeD92–722%-0.02
overpassA74–357%-0.01
mirageB63–350%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,752Lifetime kills
0.87K/D
4,468Matches
43.5%Match win rate
37.7%Headshot %
17.6%Shot accuracy · Top 25% of Level 5 players
12,377MVPs
1,698Hours (in match)
6,237Bombs planted
2,244Bombs defused

Most-used weapons

AK-4716,691
AWP8,292
MAC-102,420
FAMAS1,896
P901,824
MP91,772

Lifetime map wins

8,991inferno
4,830dust2
3,498nuke
2,214vertigo
1,510train
1,400office
845cbble
783lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

247Matches
52%Win rate
0.89Avg K/D
81.3ADR
36%Headshot %

Clutches & streaks

21%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2564%1.0516.5
Ancient2450%1.0616.8
Inferno1567%1.0113.9
Dust21338%0.9016.0
Mirage1020%0.9715.8
Overpass425%0.9316.0
Nuke475%1.0613.0
Vertigo20%0.7614.5

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.

11.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.6%Spray accuracy
70.0%Counter-strafing
11.7°Preaim
614msReaction time
28.1%T opening success
48.4%CT opening success
0.53Enemies flashed / flash
3.5%Flash assists
8.95HE damage / grenade
4.32Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8355% — below the 15% mark we flag

    Aim Training →
  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 28.1478% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0011%22 Sept →
ancient13–100.0112%13 Sept →
nuke15–15-0.079%12 Sept →
inferno7–13-0.0413%12 Sept →
inferno9–13-0.064%12 Sept →
inferno10–13-0.0814%12 Sept →
cache2–13-0.0512%10 Sept →
cache14–16-0.0312%8 Sept →
ancient4–130.0014%6 Sept →
dust22–13-0.0836%1 Sept →
mirage13–30.079%1 Sept →
inferno7–13-0.0611%30 Aug →
ancient13–100.078%25 Aug →
mirage2–13-0.0314%20 Aug →
nuke7–13-0.0315%20 Aug →
dust213–11-0.0112%18 Aug →
nuke13–80.049%18 Aug →
mirage13–10-0.036%16 Aug →
dust213–40.0215%9 Aug →
dust213–9-0.0214%9 Aug →
ancient13–10-0.0113%2 Aug →
nuke8–13-0.0418%2 Aug →
inferno7–13-0.022%28 Jul →
cache13–70.047%26 Jul →
ancient4–13-0.079%26 Jul →
cache13–10-0.077%19 Jul →
anubis6–13-0.084%3 Jul →
nuke4–130.0024%28 Jun →
dust29–13-0.0516%16 Jun →
ancient7–13-0.0315%8 Jun →
inferno9–13-0.0515%8 Jun →
anubis13–9-0.0714%8 Jun →
inferno13–11-0.0714%3 Jun →
overpass16–13-0.029%3 Jun →
inferno10–13-0.0217%2 Jun →
anubis8–130.0513%27 May →
ancient8–13-0.0311%26 May →
nuke6–13-0.0413%26 May →
dust28–13-0.0035%26 May →
inferno7–13-0.0425%26 May →
anubis13–10-0.0317%24 May →
dust26–13-0.0612%24 May →
anubis7–130.0016%24 May →
nuke10–13-0.0325%24 May →
cache2–13-0.0816%23 May →
cache13–8-0.0228%23 May →
ancient5–13-0.039%23 May →
dust210–130.0510%23 May →
inferno11–13-0.0221%22 May →
overpass13–90.0717%22 May →
anubis10–13-0.0013%22 May →
anubis5–13-0.023%19 May →
inferno13–70.0210%19 May →
inferno4–130.0117%17 May →
cache13–8-0.0315%16 May →
anubis16–140.0318%16 May →
dust28–13-0.0120%16 May →
anubis15–15-0.0125%8 May →
ancient2–13-0.0711%8 May →
dust29–13-0.0518%8 May →
nuke13–9-0.0219%8 May →
ancient12–16-0.0014%5 May →
inferno13–5-0.037%2 May →
inferno10–130.0314%2 May →
dust213–5-0.0211%2 May →
inferno7–130.0113%2 May →
inferno13–10-0.0611%1 May →
ancient6–130.0413%1 May →
cache13–10-0.0516%30 Apr →
cache13–110.0422%30 Apr →
cache13–80.0213%30 Apr →
cache7–13-0.078%30 Apr →
cache7–13-0.0518%30 Apr →
ancient9–13-0.028%18 Apr →
dust29–13-0.0515%18 Apr →
dust213–50.0116%18 Apr →
anubis13–7-0.0210%18 Apr →
overpass9–13-0.0813%18 Apr →
nuke10–13-0.0314%18 Apr →
mirage6–13-0.0722%18 Apr →
ancient12–12-0.0513%18 Apr →
ancient16–14-0.0110%12 Apr →
inferno13–100.0121%12 Apr →
ancient13–10-0.0413%12 Apr →
ancient13–40.0314%12 Apr →
ancient16–13-0.0313%29 Mar →
inferno15–150.0217%29 Mar →
overpass13–9-0.0326%29 Mar →
overpass7–130.0218%28 Mar →
mirage0–5-0.060%28 Mar →
overpass11–13-0.0221%21 Mar →
anubis13–16-0.0316%21 Mar →
inferno13–60.0123%20 Mar →
dust213–9-0.0513%20 Mar →
inferno13–11-0.0116%16 Mar →
overpass13–6-0.046%16 Mar →
inferno7–13-0.0128%16 Mar →
anubis13–16-0.005%15 Mar →
ancient10–13-0.119%15 Mar →
mirage13–8-0.047%10 Mar →

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 →