WILSON

WILSON — CS2 Stats

FI76561199058420643[U:1:1098154915]Steam profile ↗✓ No bans

1,646Tracked matches46%Win rate2021Tracked since
2,331Hours in CS27Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating8,943Light Blue band · top ~59.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 8,943 -1,410 12 Sept – 4 Nov · 24 days played
8,39510,910peak 10,91012 Sept4 Nov
11,336Peak Premier in tracked matches
24Days played since 2026-09-12

Premier CS Rating

  • 1,967 below peak (10,910)
  • -1,058 over 30 days · declining
  • Next: Blue band at 10,000 — 1,057 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.7%42.7%43.8%3.1% short
Shot accuracy9.2%11.2%12.0%2.9% short
Kill/death ratio0.860.991.020.15 short
Match win rate43.8%43.9%44.7%0.9% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWILSONFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER8,943 · Light 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

Aim73
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateLWLLLWTWWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +1.2pp headshot accuracy · −60ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 594ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 624ms

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).

Aim7.3
Utility5.8
Positioning6.8
Opening Duels4.2
Clutch3.2

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 631ms 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

Aim7.3
Positioning6.8
Utility5.8
Mechanics7.0
Opening Duels5.5
Win Impact3.8

Composite 5.8/10 (Solid), 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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time631ms−28ms
first ⅓ avg 660ms → last ⅓ avg 631ms
Headshot accuracy15.3%−0.6%
first ⅓ avg 15.9% → last ⅓ avg 15.3%

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 · 4–0 · nuke, 24 Oct →
27%Best headshot accuracy · 4–0 · nuke, 24 Oct →
500msFastest reaction time · 13–10 · anubis, 12 Sept →
13–2Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–9In matches decided by ≤2 rounds
21Overtime games

Map breakdown

nukeBest map · 58% over 24dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
nukeA2414–1058%0.01
mirageB2412–1250%-0.01
dust2C197–1237%-0.03
infernoB137–654%0.00
ancientC83–538%-0.03
cacheA74–357%0.01
anubisC52–340%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,933Lifetime kills
0.86K/D
3,098Matches
43.8%Match win rate
40.7%Headshot %
9.2%Shot accuracy
5,994MVPs
1,252Hours (in match)
4,738Bombs planted
742Bombs defused

Most-used weapons

AK-4714,648
MP92,556
AWP2,355
MAC-101,350
FAMAS1,038

Lifetime map wins

5,274nuke
4,560inferno
1,277dust2
1,169vertigo
346train
172office
104lake
63cbble

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

Faceit stats

Combat

87Matches
46%Win rate
0.82Avg K/D
69.3ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
50%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1844%0.8313.9
Vertigo944%0.8715.1
Ancient540%0.629.8
Cache4100%1.2317.0
Anubis367%0.9116.3
Nuke30%0.6712.0
Inferno2100%0.7214.0
Overpass250%0.9514.0

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.

14.6%Headshot accuracy
40.0%Accuracy (enemy spotted)
38.2%Spray accuracy
81.5%Counter-strafing
9.2°Preaim
631msReaction time
60.2%T opening success
44.2%CT opening success
0.59Enemies flashed / flash
1.5%Flash assists
12.31HE damage / grenade
7.82Flashes / 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 14.5872% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0219%4 Nov →
dust213–70.0223%4 Nov →
dust28–13-0.0023%4 Nov →
inferno11–130.046%3 Nov →
nuke9–13-0.0312%3 Nov →
mirage13–80.0112%2 Nov →
nuke12–12-0.0413%2 Nov →
nuke16–140.0217%2 Nov →
inferno13–90.017%31 Oct →
anubis10–130.0514%31 Oct →
anubis13–10-0.038%30 Oct →
cache16–130.0214%30 Oct →
dust213–20.017%30 Oct →
inferno14–160.0011%30 Oct →
dust213–6-0.0111%30 Oct →
nuke14–160.0220%29 Oct →
mirage16–12-0.0110%29 Oct →
nuke13–60.0812%29 Oct →
mirage3–13-0.0127%29 Oct →
anubis8–130.0015%29 Oct →
cache10–130.0318%29 Oct →
nuke7–130.0317%25 Oct →
ancient10–13-0.089%24 Oct →
inferno12–16-0.0114%24 Oct →
dust29–13-0.059%24 Oct →
nuke4–00.2327%24 Oct →
dust213–110.0126%24 Oct →
ancient15–15-0.0112%24 Oct →
inferno10–13-0.0219%23 Oct →
ancient13–7-0.0416%23 Oct →
inferno16–14-0.0122%23 Oct →
nuke13–9-0.0510%23 Oct →
dust214–16-0.0122%23 Oct →
anubis7–130.0525%22 Oct →
nuke13–90.0314%22 Oct →
mirage15–150.008%18 Oct →
nuke10–13-0.0322%18 Oct →
dust213–5-0.0819%18 Oct →
nuke13–30.0221%18 Oct →
mirage13–11-0.0517%18 Oct →
mirage9–13-0.0613%18 Oct →
nuke13–8-0.0415%17 Oct →
inferno13–7-0.0119%17 Oct →
mirage13–40.085%17 Oct →
nuke13–80.1919%17 Oct →
mirage10–13-0.0115%16 Oct →
mirage11–130.0412%16 Oct →
inferno13–5-0.0317%16 Oct →
dust210–130.0114%16 Oct →
mirage8–13-0.0417%9 Oct →
inferno13–11-0.0017%9 Oct →
nuke13–9-0.047%9 Oct →
mirage16–130.0220%9 Oct →
ancient6–13-0.0717%9 Oct →
nuke13–90.0217%9 Oct →
cache13–80.0116%9 Oct →
dust216–130.0019%27 Sept →
nuke13–8-0.0512%27 Sept →
cache13–20.0416%27 Sept →
cache1–13-0.077%27 Sept →
nuke13–50.0413%27 Sept →
dust28–13-0.0515%27 Sept →
dust216–14-0.0718%25 Sept →
nuke10–13-0.0020%24 Sept →
nuke9–13-0.0410%24 Sept →
mirage6–13-0.1022%24 Sept →
dust24–130.0210%24 Sept →
mirage11–13-0.0011%24 Sept →
mirage13–10-0.0011%24 Sept →
dust27–13-0.0124%23 Sept →
dust212–160.0223%23 Sept →
dust27–13-0.0920%23 Sept →
nuke16–13-0.0210%23 Sept →
ancient13–8-0.0215%23 Sept →
mirage13–50.0617%23 Sept →
mirage13–90.0319%23 Sept →
mirage13–7-0.0714%22 Sept →
nuke9–13-0.0217%22 Sept →
mirage13–4-0.0712%22 Sept →
cache13–100.0112%20 Sept →
mirage9–13-0.0014%20 Sept →
ancient15–15-0.0713%20 Sept →
mirage11–130.0013%20 Sept →
mirage8–130.0814%20 Sept →
inferno13–110.0817%15 Sept →
ancient13–4-0.0023%15 Sept →
mirage13–4-0.0615%15 Sept →
dust215–15-0.0811%15 Sept →
mirage11–130.0014%15 Sept →
dust213–16-0.0712%15 Sept →
inferno10–13-0.0522%15 Sept →
cache8–130.0515%14 Sept →
mirage16–14-0.0617%14 Sept →
nuke9–13-0.0713%14 Sept →
nuke13–90.019%14 Sept →
inferno16–140.0316%13 Sept →
inferno15–15-0.0224%13 Sept →
anubis13–100.0220%12 Sept →
ancient10–130.0214%12 Sept →
dust211–13-0.0925%12 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 →

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