Walter Wide

Walter Wide — CS2 Stats

76561198313498579[U:1:353232851]Steam profile ↗✓ No bans

1,453Tracked matches58%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating4,568Grey band · top ~80.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,568 -10,431 9 Sept – 13 Nov · 34 days played
4,56814,999peak 14,9999 Sept13 Nov
14,999Peak Premier in tracked matches
47Days played since 2026-09-09

Premier CS Rating

  • 10,431 below peak (14,999)
  • -5,431 over 30 days · declining
  • Next: Light Blue band at 5,000 — 432 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGWalter WideFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,568 · Grey bandcsdb.gg/stats

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Performance scores

Aim66
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateLTLLWTLLWT

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +2.0pp headshot accuracy · −53ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

Last 20

  • 6–9–5 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 598ms

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 (+2.2 against its own average).

Aim6.6
Utility3.0
Positioning5.2
Opening Duels3.9
Clutch0.0

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

donk

Plays most like donk 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 613ms 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

Aim6.6
Positioning5.2
Utility3.0
Mechanics6.3
Opening Duels5.4
Win Impact7.8

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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time605ms−19ms
first ⅓ avg 625ms → last ⅓ avg 605ms
Headshot accuracy16.4%+3.7%
first ⅓ avg 12.8% → last ⅓ avg 16.4%

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

0.18Best match rating · 13–1 · mirage, 24 Oct →
33%Best headshot accuracy · 0–3 · anubis, 13 Nov →
406msFastest reaction time · 0–3 · anubis, 13 Nov →
13–1Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 67% over 15ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%-0.00
nukeB2010–1050%0.01
anubisD154–1127%-0.01
dust2S1510–567%0.02
cacheB126–650%0.01
infernoC104–640%-0.01
ancientD61–517%-0.01
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.33Avg K/D
58.0ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

16.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.2%Spray accuracy
78.3%Counter-strafing
9.1°Preaim
613msReaction time
47.6%T opening success
55.3%CT opening success
0.51Enemies flashed / flash
2.1%Flash assists
10.57HE damage / grenade
3.70Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7033 — below the 4 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.0217%15 Nov →
cache12–120.0512%15 Nov →
mirage7–13-0.0317%14 Nov →
mirage3–13-0.0320%13 Nov →
dust213–60.079%13 Nov →
nuke12–120.1014%13 Nov →
anubis4–13-0.067%13 Nov →
anubis0–3-0.0933%13 Nov →
dust213–10-0.0225%12 Nov →
nuke12–120.0219%12 Nov →
cache11–13-0.0110%11 Nov →
cache12–120.0225%3 Nov →
vertigo2–13-0.0220%3 Nov →
dust213–110.059%2 Nov →
mirage13–110.0414%2 Nov →
nuke6–13-0.0130%1 Nov →
mirage13–11-0.0411%30 Oct →
anubis0–5-0.110%30 Oct →
mirage12–120.0518%30 Oct →
nuke13–80.0220%29 Oct →
anubis13–9-0.0117%29 Oct →
inferno8–13-0.0823%28 Oct →
mirage13–10-0.040%28 Oct →
mirage13–5-0.0128%28 Oct →
cache15–15-0.0621%27 Oct →
dust213–5-0.0223%27 Oct →
nuke13–4-0.0310%27 Oct →
dust213–9-0.0720%27 Oct →
anubis16–13-0.0111%24 Oct →
ancient13–9-0.037%24 Oct →
anubis6–13-0.0115%24 Oct →
mirage13–10.1821%24 Oct →
inferno2–130.0318%23 Oct →
dust213–40.0618%23 Oct →
inferno6–130.0010%23 Oct →
nuke13–40.0411%23 Oct →
dust213–11-0.0317%21 Oct →
cache13–8-0.0213%21 Oct →
mirage13–80.0312%20 Oct →
mirage1–5-0.0115%20 Oct →
dust28–130.098%19 Oct →
mirage0–13-0.0313%19 Oct →
mirage3–13-0.0224%19 Oct →
inferno4–13-0.0617%18 Oct →
mirage9–90.017%18 Oct →
dust213–70.1219%18 Oct →
nuke13–10-0.0114%17 Oct →
nuke9–13-0.0413%17 Oct →
nuke13–11-0.046%17 Oct →
nuke5–130.0415%17 Oct →
inferno13–90.0218%16 Oct →
cache13–50.1113%16 Oct →
nuke9–00.0321%16 Oct →
dust23–13-0.029%15 Oct →
inferno13–11-0.0426%14 Oct →
nuke7–13-0.048%14 Oct →
cache13–10.0219%14 Oct →
nuke10–20.139%13 Oct →
mirage13–90.0511%12 Oct →
mirage13–16-0.0014%11 Oct →
mirage5–13-0.0413%10 Oct →
dust26–130.1112%8 Oct →
inferno13–60.138%8 Oct →
anubis6–130.0114%7 Oct →
nuke11–13-0.059%7 Oct →
dust213–100.0315%5 Oct →
anubis7–13-0.0313%5 Oct →
inferno8–13-0.0115%4 Oct →
cache13–110.049%4 Oct →
inferno13–8-0.039%2 Oct →
ancient8–130.018%2 Oct →
cache13–80.0121%2 Oct →
anubis13–50.0216%1 Oct →
anubis4–13-0.0310%30 Sept →
cache13–80.0211%30 Sept →
dust211–13-0.0113%29 Sept →
inferno14–16-0.036%28 Sept →
cache7–13-0.0211%28 Sept →
anubis8–130.0511%26 Sept →
ancient0–7-0.028%26 Sept →
mirage7–13-0.0215%26 Sept →
dust213–10-0.0118%25 Sept →
dust20–7-0.080%24 Sept →
cache8–13-0.0014%24 Sept →
anubis13–110.019%23 Sept →
nuke13–160.0613%22 Sept →
nuke13–60.0521%21 Sept →
mirage10–13-0.0819%21 Sept →
nuke6–130.0920%20 Sept →
nuke13–80.0320%20 Sept →
anubis13–160.0010%20 Sept →
ancient11–130.0114%19 Sept →
mirage13–5-0.0317%19 Sept →
anubis15–150.1010%17 Sept →
nuke1–13-0.0916%17 Sept →
ancient6–13-0.0515%17 Sept →
ancient11–130.0011%16 Sept →
mirage11–13-0.0511%16 Sept →
mirage13–160.0512%15 Sept →
nuke13–110.018%14 Sept →

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 →

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