WILSON

WILSON — CS2 Stats

MA76561199134036155[U:1:1173770427]Steam profile ↗

932Tracked matches62%Win rate2022Tracked since
488Hours in CS
CSDB Rating3.7 Learning
Premier CS Rating6,350Light Blue band · top ~72.3% of ranked players (population est.)
CSDB Leaderboard#42832 of 56677 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 rate42.0%42.7%44.0%2.0% short
Shot accuracy2.0%10.8%11.6%9.6% short
Kill/death ratio0.531.001.030.50 short
Match win rate42.1%44.1%45.1%3.0% 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 rankedPREMIER6,350 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning36
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY41527Last 10041%Win rateWLWLWLLWTW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim3.9
Aggression2.9
Utility3.8
Positioning3.6
Opening Duels0.1
Clutch2.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 671ms 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

Aim3.9
Positioning3.6
Utility3.8
Mechanics4.6
Opening Duels0.5
Win Impact9.0

Composite 3.7/10 (Learning), 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-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time669ms−19ms
first ⅓ avg 688ms → last ⅓ avg 669ms
Headshot accuracy14.5%−1.8%
first ⅓ avg 16.3% → last ⅓ avg 14.5%

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.

Highlights

0.09Best rating — mirage 13–3
131Biggest win — vertigo
7Longest win streak
68In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 62% over 13nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC27101737%-0.03
mirageA25141156%-0.04
anubisA138562%-0.02
dust2D123925%-0.05
nukeD81713%-0.06
ancientC73443%-0.03
vertigoC52340%-0.02
cache2020%-0.07
stronghold1010%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,593Lifetime kills
0.53K/D
1,097Matches
42.1%Match win rate
42.0%Headshot %
2.0%Shot accuracy
2,654MVPs
488Hours (in match)
1,252Bombs planted
780Bombs defused

Most-used weapons

Lifetime map wins

3,133inferno
2,401dust2
1,051nuke
940vertigo
204train
24office
10italy
1ar_shoots

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

Faceit stats

Combat

96Matches
52%Win rate
0.68Avg K/D
59.8ADR
40%Headshot %

Clutches & streaks

30%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4547%0.6210.6
Anubis2264%0.7810.4
Inferno1457%0.7112.0
Dust2650%0.528.3
Cache450%0.839.8
Ancient425%0.6811.3
Nuke1100%0.8713.0

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.

14.5%Headshot accuracy
31.3%Accuracy (enemy spotted)
35.7%Spray accuracy
70.5%Counter-strafing
11.3°Preaim
671msReaction time
26.7%T opening success
34.2%CT opening success
0.62Enemies flashed / flash
0.6%Flash assists
9.41HE damage / grenade
3.19Flashes / 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 14.5418% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 3.1917 — below the 4 mark we flag

    Grenade Lineups
  3. 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 26.7408% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0210%14 Jun
nuke5–13-0.0818%12 Jun
ancient13–6-0.0423%10 Jun
inferno3–13-0.0322%9 Jun
mirage13–8-0.0411%8 Jun
inferno8–13-0.0312%5 Jun
mirage10–13-0.0411%5 Jun
vertigo13–10.0419%3 Jun
vertigo12–12-0.0219%3 Jun
anubis13–20.0613%2 Jun
inferno1–13-0.067%2 Jun
dust25–13-0.0413%1 Jun
inferno9–30.0022%1 Jun
anubis13–100.0419%1 Jun
anubis4–13-0.0315%1 Jun
anubis4–11-0.0422%30 May
inferno13–10-0.0326%30 May
inferno13–10-0.053%22 May
mirage13–6-0.0119%22 May
anubis13–11-0.027%21 May
nuke16–12-0.0224%21 May
dust213–50.0415%21 May
mirage19–15-0.0516%20 May
vertigo7–90.0611%15 May
inferno9–60.0412%15 May
inferno4–9-0.1120%14 May
mirage7–13-0.0915%14 May
anubis13–10-0.099%14 May
mirage13–5-0.038%14 May
mirage11–13-0.0013%13 May
mirage13–7-0.0414%10 May
anubis13–8-0.066%10 May
inferno4–90.026%7 May
inferno7–13-0.0017%7 May
mirage13–3-0.0712%4 May
dust26–13-0.1230%4 May
inferno5–130.0310%4 May
mirage14–16-0.0015%2 May
cache12–12-0.0311%2 May
mirage6–13-0.0219%2 May
nuke11–13-0.0812%2 May
ancient13–20.0512%2 May
cache7–13-0.115%1 May
inferno9–130.018%1 May
nuke6–130.0014%1 May
inferno9–13-0.0226%26 Apr
mirage13–30.0915%26 Apr
inferno13–70.0222%25 Apr
vertigo9–13-0.0826%8 Apr
mirage9–13-0.0428%7 Apr
inferno9–7-0.0329%30 Mar
inferno9–7-0.040%30 Mar
inferno3–9-0.1714%30 Mar
dust25–13-0.1213%30 Mar
inferno14–16-0.0211%29 Mar
anubis13–9-0.0323%29 Mar
ancient8–13-0.0419%29 Mar
mirage13–7-0.049%29 Mar
mirage13–9-0.0613%29 Mar
anubis13–30.0219%29 Mar
dust24–12-0.0123%29 Mar
anubis5–13-0.0611%28 Mar
nuke10–13-0.0514%24 Mar
mirage13–8-0.055%23 Mar
dust213–6-0.0914%23 Mar
dust210–13-0.0310%22 Mar
nuke7–8-0.0410%22 Mar
inferno6–9-0.1021%22 Mar
ancient6–13-0.0721%21 Mar
mirage13–11-0.019%21 Mar
nuke1–9-0.220%21 Mar
inferno7–9-0.0613%21 Mar
inferno9–60.0211%21 Mar
inferno7–9-0.0736%21 Mar
ancient7–13-0.1227%20 Mar
vertigo9–6-0.0915%20 Mar
mirage7–13-0.0713%19 Mar
mirage13–8-0.0320%19 Mar
anubis7–130.058%19 Mar
dust28–13-0.1116%18 Mar
inferno16–130.0215%18 Mar
nuke9–130.0116%18 Mar
mirage6–13-0.0718%17 Mar
dust215–15-0.0124%16 Mar
ancient15–15-0.0110%15 Mar
inferno15–15-0.105%15 Mar
inferno6–13-0.0320%14 Mar
mirage16–14-0.0512%13 Mar
inferno4–13-0.0524%13 Mar
dust215–15-0.0312%12 Mar
mirage5–13-0.0820%10 Mar
anubis13–6-0.0414%10 Mar
dust216–14-0.0615%9 Mar
mirage5–13-0.0215%8 Mar
mirage4–13-0.0419%8 Mar
dust212–16-0.0816%7 Mar
anubis9–13-0.0824%7 Mar
mirage13–1-0.0517%7 Mar
ancient13–90.0221%6 Mar
stronghold12–12-0.0912%6 Mar

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 →