WILSON!

WILSON! — CS2 Stats

76561198077966456[U:1:117700728]Steam profile ↗✓ No bans

602Tracked matches48%Win rate2025Tracked since
1,876Hours in CS0Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 602 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,999 +62 26 Feb – 16 Sept · 17 days played
14,44615,920peak 15,92026 Feb16 Sept
15,920Peak Premier in tracked matches
38Days played since 2026-02-14

Premier CS Rating

  • 921 below peak (15,920)
  • +446 over 30 days · improving
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-16
  • Light Blue band first seen 2026-09-16

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate60.4%42.0%44.4%above
Shot accuracy9.6%9.6%11.9%2.2% short
Kill/death ratio1.570.981.03above
Match win rate43.9%43.8%45.2%1.4% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGWILSON!PREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning54
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWWLLLWWTWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.1pp headshot accuracy · +31ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 562ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3 against its own average).

Aim6.8
Utility6.5
Positioning5.4
Opening Duels4.4
Clutch9.4

Strong CT-side openerReliable in 1v1s

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 86% 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 56% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim6.8
Positioning5.4
Utility6.5
Mechanics6.6
Opening Duels3.3
Win Impact4.4

Composite 5.6/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time572ms−53ms
first ⅓ avg 625ms → last ⅓ avg 572ms
Headshot accuracy24.1%−0.8%
first ⅓ avg 24.9% → last ⅓ avg 24.1%

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

0.14Best match rating · 12–12 · dust2, 8 Apr →
41%Best headshot accuracy · 5–13 · mirage, 12 Aug →
375msFastest reaction time · 8–13 · inferno, 2 Apr →
13–1Biggest win · inferno, 12 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
11–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A3019–1163%0.02
infernoB189–950%0.00
mirageC188–1044%-0.02
ancientD154–1127%-0.01
overpassB63–350%0.02
cacheS54–180%0.00
anubisC52–340%-0.03
boulder—10–10%-0.01
office—10–10%-0.07
nuke—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,451Lifetime kills
1.57K/D · Top 5% of Blue band
2,278Matches
43.9%Match win rate · Top 50% of Blue band
60.4%Headshot % · Top 5% of Blue band
9.6%Shot accuracy
5,337MVPs
789Hours (in match)
2,159Bombs planted
428Bombs defused

Most-used weapons

Lifetime map wins

6,006dust2
2,287inferno
735nuke
362cbble
267train
239office
180dust
135aztec

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

Faceit stats

Combat

31Matches
42%Win rate
0.93Avg K/D
74.8ADR
45%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient367%1.7112.0
Anubis20%0.9415.5
Mirage250%1.4115.0
Inferno10%0.233.0
Dust21100%0.9415.0

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.

24.4%Headshot accuracy
31.1%Accuracy (enemy spotted)
30.2%Spray accuracy
79.8%Counter-strafing
10.2°Preaim
568msReaction time
27.0%T opening success
56.5%CT opening success
0.60Enemies flashed / flash
7.5%Flash assists
13.49HE damage / grenade
9.42Flashes / 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 26.9928% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0313%11 Sept →
inferno16–13-0.0115%11 Sept →
ancient10–13-0.0229%4 Sept →
mirage6–13-0.0421%4 Sept →
inferno9–13-0.0321%3 Sept →
ancient13–90.0419%3 Sept →
mirage13–9-0.1031%3 Sept →
mirage15–15-0.0633%2 Sept →
cache13–100.0326%2 Sept →
inferno6–13-0.0135%2 Sept →
mirage13–100.0423%30 Aug →
inferno13–11-0.0419%29 Aug →
mirage7–13-0.0517%29 Aug →
cache13–5-0.0022%27 Aug →
mirage13–6-0.0219%27 Aug →
ancient7–13-0.0422%27 Aug →
mirage6–13-0.0326%25 Aug →
dust213–7-0.0231%25 Aug →
cache1–13-0.0423%24 Aug →
dust27–0-0.0330%24 Aug →
ancient11–13-0.0116%24 Aug →
boulder7–13-0.0128%21 Aug →
dust27–13-0.0326%21 Aug →
inferno3–130.0126%21 Aug →
mirage5–13-0.0641%12 Aug →
inferno13–10.0434%12 Aug →
dust213–30.0124%12 Aug →
mirage11–130.0627%12 Aug →
office9–13-0.0718%7 Aug →
inferno13–110.0225%7 Aug →
cache13–110.0915%31 Jul →
mirage9–13-0.0619%31 Jul →
dust213–100.0520%31 Jul →
ancient8–13-0.0115%24 Jul →
ancient11–13-0.0621%24 Jul →
inferno5–13-0.0610%24 Jul →
dust213–110.0723%24 Jul →
mirage16–14-0.0112%17 Jul →
ancient14–16-0.0713%17 Jul →
cache13–11-0.0720%17 Jul →
mirage13–100.1118%2 May →
overpass9–13-0.0525%10 Apr →
anubis3–13-0.0223%10 Apr →
ancient9–13-0.0628%10 Apr →
inferno13–110.0115%9 Apr →
dust213–70.1138%9 Apr →
inferno3–130.0515%8 Apr →
dust212–120.1418%8 Apr →
dust213–110.0137%7 Apr →
nuke13–100.0329%6 Apr →
dust213–90.0624%6 Apr →
ancient9–13-0.0223%5 Apr →
dust210–13-0.0319%5 Apr →
anubis9–13-0.0624%5 Apr →
dust213–11-0.0330%5 Apr →
inferno8–13-0.0414%2 Apr →
dust211–13-0.0922%2 Apr →
anubis6–13-0.0721%1 Apr →
dust213–110.0827%1 Apr →
dust213–70.1230%1 Apr →
mirage5–13-0.0219%1 Apr →
dust210–13-0.0335%28 Mar →
mirage13–60.0124%28 Mar →
inferno13–80.0127%28 Mar →
inferno5–13-0.0618%28 Mar →
inferno13–5-0.0615%28 Mar →
ancient13–40.0223%28 Mar →
mirage4–13-0.0223%21 Mar →
ancient4–13-0.0415%15 Mar →
ancient13–70.1221%15 Mar →
mirage13–70.0217%14 Mar →
overpass10–130.0333%14 Mar →
dust213–40.1135%14 Mar →
overpass13–80.1021%13 Mar →
ancient13–16-0.0531%13 Mar →
ancient6–13-0.0321%13 Mar →
overpass13–100.0531%13 Mar →
dust213–30.0323%13 Mar →
dust28–13-0.0733%12 Mar →
dust213–10-0.0127%12 Mar →
ancient13–40.0615%8 Mar →
inferno13–80.0715%8 Mar →
dust213–70.0837%8 Mar →
dust26–13-0.0836%7 Mar →
dust28–130.0840%7 Mar →
dust213–70.0024%7 Mar →
dust27–130.0131%7 Mar →
dust22–13-0.0723%5 Mar →
inferno13–110.0828%5 Mar →
mirage13–9-0.0414%5 Mar →
inferno7–130.0812%28 Feb →
dust20–8-0.0822%28 Feb →
dust213–9-0.0228%26 Feb →
anubis13–5-0.0213%26 Feb →
inferno8–13-0.0223%21 Feb →
overpass13–50.0529%21 Feb →
mirage10–13-0.0430%21 Feb →
dust213–30.0637%15 Feb →
anubis13–90.0216%15 Feb →
overpass7–13-0.0420%14 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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