wilt-

wilt- — CS2 Stats

US76561197975594584[U:1:15328856]Steam profile ↗✓ No bans

2,767Tracked matches52%Win rate2021Tracked since
4,516Hours in CS19Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating24,333Top 25% of 204,412 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#28244 of 251476 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−667Premier CS Rating · 25,000 → 24,333

Rating over time

Premier CS Rating: 24,333 +2,654 16 Aug – 14 Oct · 34 days played
21,32025,298peak 25,29816 Aug14 Oct
25,407Peak Premier in tracked matches
34Days played since 2026-08-16

Premier CS Rating

  • 965 below peak (25,298)
  • +400 over 30 days · steady
  • Next: Red band at 25,000 — 667 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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 6 among CSDB-tracked players (n=13,110), 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 6 medianLevel 7 medianvs Level 7
Headshot rate53.8%44.8%45.7%above
Shot accuracy14.9%12.4%12.7%above
Kill/death ratio1.011.031.050.05 short
Match win rate49.9%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwilt-FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER24,333 · Pink 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

Aim65
Positioning58
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLLLWWLLWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · +4.1pp headshot accuracy · +13ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 551ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

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 (+1.4 against its own average).

Aim6.5
Utility5.0
Positioning5.8
Opening Duels2.5

Limited 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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim6.5
Positioning5.8
Utility5.0
Mechanics5.6
Opening Duels4.4
Win Impact5.6

Composite 5.8/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time530ms+3ms
first ⅓ avg 527ms → last ⅓ avg 530ms
Headshot accuracy21.6%+0.8%
first ⅓ avg 20.7% → last ⅓ avg 21.6%

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

0.10Best match rating · 2–1 · dust2, 27 Sept →
60%Best headshot accuracy · 5–1 · nuke, 10 Oct →
328msFastest reaction time · 6–0 · cache, 13 Sept →
13–2Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
9–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2717–1063%-0.02
dust2C238–1535%0.00
anubisA116–555%-0.01
cacheA117–464%0.01
nukeS108–280%0.01
mirageD92–722%-0.04
ancientD61–517%-0.04
overpass—20–20%0.02
vertigo—10–10%-0.03

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.

Lifetime stats

130,999Lifetime kills
1.01K/D
5,854Matches
49.9%Match win rate · Top 25% of Level 6 players
53.8%Headshot % · Top 25% of Level 6 players
14.9%Shot accuracy · Top 50% of Level 6 players
13,766MVPs
2,999Hours (in match)
10,114Bombs planted
2,429Bombs defused

Most-used weapons

AK-4747,409
AWP24,671
P2503,408
SSG 082,562
UMP-452,251
HE Grenade1,322

Lifetime map wins

18,168inferno
15,809dust2
7,494nuke
2,100train
1,014vertigo
313cbble
81office
62italy

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

Faceit stats

Combat

19Matches
47%Win rate
0.89Avg K/D
—ADR
55%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo4100%1.3717.0
Inferno367%0.9311.7
Mirage20%0.6811.5
Anubis20%0.9923.0
Ancient10%0.9313.0
Nuke1100%0.578.0

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.

19.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.9%Spray accuracy
75.1%Counter-strafing
10.3°Preaim
529msReaction time
50.7%T opening success
44.2%CT opening success
0.57Enemies flashed / flash
4.9%Flash assists
11.43HE damage / grenade
3.96Flashes / 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 3.9586 — 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
mirage7–13-0.058%14 Oct →
ancient4–13-0.0719%14 Oct →
inferno9–13-0.0429%13 Oct →
overpass11–130.0223%13 Oct →
anubis13–8-0.083%12 Oct →
anubis13–9-0.0223%12 Oct →
mirage4–13-0.0730%11 Oct →
mirage1–13-0.0514%11 Oct →
inferno16–120.0311%10 Oct →
nuke5–1-0.0260%10 Oct →
cache15–150.0210%7 Oct →
dust27–130.0814%7 Oct →
mirage13–80.0127%7 Oct →
nuke1–13-0.040%7 Oct →
anubis6–13-0.0119%6 Oct →
mirage6–13-0.0316%6 Oct →
ancient12–16-0.0221%4 Oct →
nuke13–30.0133%4 Oct →
inferno12–160.0121%4 Oct →
dust213–50.0718%4 Oct →
inferno13–7-0.0214%2 Oct →
nuke13–60.0533%2 Oct →
inferno13–10-0.0216%2 Oct →
inferno5–0-0.0722%2 Oct →
dust28–130.0824%1 Oct →
nuke13–2-0.0117%1 Oct →
inferno16–120.0421%28 Sept →
dust213–11-0.0125%27 Sept →
anubis10–130.0126%27 Sept →
anubis13–9-0.0024%27 Sept →
cache15–15-0.0614%27 Sept →
cache13–3-0.0317%27 Sept →
dust22–10.1060%27 Sept →
ancient16–14-0.0316%24 Sept →
inferno13–5-0.0316%24 Sept →
dust211–130.0117%20 Sept →
inferno10–13-0.0314%20 Sept →
dust211–130.0216%19 Sept →
mirage5–13-0.0225%19 Sept →
dust23–13-0.0119%19 Sept →
cache13–8-0.0427%19 Sept →
dust213–5-0.0314%18 Sept →
cache13–100.0627%18 Sept →
inferno13–11-0.0520%18 Sept →
inferno13–7-0.0217%17 Sept →
dust25–130.0023%17 Sept →
cache13–110.0418%13 Sept →
inferno10–130.0425%13 Sept →
cache6–0-0.040%13 Sept →
overpass8–130.0214%13 Sept →
mirage3–13-0.0931%13 Sept →
anubis13–40.0524%11 Sept →
vertigo11–13-0.0323%11 Sept →
inferno10–13-0.0312%8 Sept →
nuke13–110.0017%8 Sept →
anubis6–130.0018%8 Sept →
anubis16–130.0111%3 Sept →
nuke13–110.0120%3 Sept →
dust24–13-0.0425%3 Sept →
anubis6–13-0.0810%3 Sept →
nuke13–110.0312%3 Sept →
inferno13–5-0.0525%3 Sept →
dust216–12-0.0814%2 Sept →
inferno13–6-0.0024%2 Sept →
dust213–50.0411%2 Sept →
inferno6–13-0.0418%1 Sept →
dust27–13-0.0617%1 Sept →
dust211–130.0121%31 Aug →
inferno13–30.0119%31 Aug →
nuke15–15-0.0020%30 Aug →
ancient6–13-0.0614%30 Aug →
cache13–80.0419%28 Aug →
inferno13–6-0.0121%28 Aug →
ancient0–13-0.0310%27 Aug →
mirage13–9-0.0319%27 Aug →
inferno5–13-0.0218%26 Aug →
ancient3–13-0.0525%26 Aug →
dust213–90.0521%26 Aug →
dust29–13-0.0723%23 Aug →
anubis13–9-0.0123%23 Aug →
dust211–13-0.0528%23 Aug →
inferno11–13-0.0821%23 Aug →
nuke13–110.0417%23 Aug →
dust26–13-0.0116%23 Aug →
inferno13–60.0326%22 Aug →
inferno13–110.0032%22 Aug →
cache15–150.0619%22 Aug →
mirage10–13-0.0730%21 Aug →
inferno2–13-0.0717%21 Aug →
inferno5–13-0.0527%21 Aug →
dust27–13-0.0120%21 Aug →
inferno16–130.0229%20 Aug →
dust215–150.0517%20 Aug →
inferno13–9-0.0119%20 Aug →
dust213–7-0.0918%18 Aug →
cache13–80.0523%18 Aug →
cache1–13-0.040%16 Aug →
dust213–100.0433%16 Aug →
inferno13–90.0310%16 Aug →
anubis8–130.0027%16 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.