Wilfred

Wilfred — CS2 Stats

76561199814394858[U:1:1854129130]Steam profile ↗✓ No bans

272Tracked matches40%Win rate2026Tracked since
421Hours in CS
CSDB Rating3.9 LearningSupport
Premier CS Rating5,134Light Blue band · top ~78.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 5,134 → 5,134
+1Tracked matches · now 272
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Premier CS Rating: 5,134 +535 13 Jul – 18 Sept · 44 days played
3,2959,623peak 9,62313 Jul18 Sept
9,781Peak Premier in tracked matches
43Days played since 2026-07-13

Premier CS Rating

  • 4,489 below peak (9,623)
  • +976 over 30 days · improving
  • Next: Blue band at 10,000 — 4,866 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-15

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=13,989), 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 rate32.4%42.7%43.8%11.4% short
Shot accuracy0.0%11.3%12.0%12.0% short
Kill/death ratio0.950.991.020.06 short
Match win rate44.3%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

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.GGWilfredFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,134 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning41
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLLLLWWWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −5.8pp headshot accuracy · −18ms 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 -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 517ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 508ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 517ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim5.8
Utility4.2
Positioning4.1
Opening Duels2.0
Clutch2.4

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

NiKo

Plays most like NiKo 92% 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 →

CSDB Rating breakdown

Aim5.8
Positioning4.1
Utility4.2
Mechanics5.2
Opening Duels1.5
Win Impact1.7

Composite 3.9/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time532ms−71ms
first ⅓ avg 602ms → last ⅓ avg 532ms
Headshot accuracy11.5%−0.2%
first ⅓ avg 11.7% → last ⅓ avg 11.5%

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.

Personal bests

0.18Best match rating · 13–2 · dust2, 10 Aug →
33%Best headshot accuracy · 13–7 · mirage, 27 Aug →
383msFastest reaction time · 13–0 · mirage, 6 Sept →
13–0Biggest win · mirage, 6 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 55% over 11anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.03
anubisD143–1121%-0.03
ancientC145–936%-0.01
cacheB126–650%-0.01
dust2B115–645%-0.01
nukeA116–555%-0.01
infernoC114–736%-0.01
train—22–0100%0.11
vertigo—22–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,584Lifetime kills
0.95K/D
887Matches
44.3%Match win rate · Top 50% of Level 4 players
32.4%Headshot %
0.0%Shot accuracy
1,626MVPs
421Hours (in match)
840Bombs planted
261Bombs defused

Most-used weapons

Lifetime map wins

1,465nuke
1,365dust2
1,033inferno
96vertigo
39train
13italy
1office

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

Faceit stats

Combat

66Matches
56%Win rate
1.03Avg K/D
67.5ADR
39%Headshot %

Clutches & streaks

32%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1436%1.1915.8
Anubis1346%1.1013.0
Mirage1267%0.7512.4
Ancient1070%0.8812.9
Cache944%1.089.9
Dust24100%1.2415.3
Inferno475%1.2012.8

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.

11.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
32.8%Spray accuracy
73.3%Counter-strafing
10.4°Preaim
537msReaction time
27.5%T opening success
41.7%CT opening success
0.46Enemies flashed / flash
2.1%Flash assists
5.72HE damage / grenade
9.75Flashes / 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 11.7901% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4599 — below the 0.5 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 27.4576% — below the 40% mark we flag

Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis0–13-0.0114%18 Sept →
mirage8–13-0.0313%9 Sept →
mirage6–13-0.032%9 Sept →
dust210–13-0.049%7 Sept →
mirage13–8-0.0515%6 Sept →
cache13–110.0111%6 Sept →
mirage13–00.070%6 Sept →
cache13–8-0.0113%6 Sept →
ancient7–13-0.0114%2 Sept →
nuke5–13-0.086%2 Sept →
dust213–9-0.0021%1 Sept →
inferno13–70.0314%30 Aug →
anubis7–13-0.0810%28 Aug →
mirage13–7-0.0333%27 Aug →
mirage13–80.0421%27 Aug →
nuke13–100.0827%27 Aug →
inferno7–13-0.005%27 Aug →
anubis4–8-0.070%26 Aug →
nuke13–110.0411%25 Aug →
anubis8–13-0.0012%23 Aug →
cache9–130.0011%21 Aug →
ancient13–5-0.006%21 Aug →
mirage6–13-0.0118%19 Aug →
anubis7–13-0.0415%18 Aug →
ancient5–13-0.005%18 Aug →
inferno8–13-0.0710%18 Aug →
dust25–13-0.046%16 Aug →
mirage13–3-0.084%15 Aug →
inferno11–13-0.0110%15 Aug →
ancient6–13-0.023%15 Aug →
dust22–13-0.0725%14 Aug →
anubis6–130.045%14 Aug →
inferno2–13-0.0512%14 Aug →
anubis13–9-0.033%13 Aug →
train13–40.1327%13 Aug →
train13–100.0813%13 Aug →
ancient6–13-0.0313%12 Aug →
nuke13–70.0211%12 Aug →
mirage13–10-0.067%11 Aug →
cache13–11-0.0221%11 Aug →
mirage11–13-0.022%10 Aug →
dust213–20.1816%10 Aug →
inferno6–13-0.062%9 Aug →
mirage7–13-0.0315%8 Aug →
anubis5–13-0.036%8 Aug →
nuke10–13-0.053%8 Aug →
ancient13–100.003%7 Aug →
anubis9–13-0.066%6 Aug →
dust27–13-0.074%6 Aug →
ancient16–120.0322%6 Aug →
cache4–13-0.0312%6 Aug →
inferno7–130.0416%4 Aug →
mirage11–13-0.034%3 Aug →
nuke13–110.0113%2 Aug →
anubis16–120.023%2 Aug →
anubis15–150.0111%2 Aug →
mirage3–130.0115%2 Aug →
nuke4–13-0.059%30 Jul →
inferno13–70.056%30 Jul →
mirage9–13-0.033%29 Jul →
cache5–13-0.059%29 Jul →
vertigo9–6-0.0718%29 Jul →
vertigo13–100.039%29 Jul →
ancient13–100.053%29 Jul →
mirage3–13-0.038%27 Jul →
mirage11–13-0.045%27 Jul →
ancient13–90.017%26 Jul →
dust216–140.0513%26 Jul →
mirage9–13-0.038%26 Jul →
dust210–130.0010%25 Jul →
mirage1–13-0.079%25 Jul →
nuke13–11-0.006%25 Jul →
inferno9–13-0.0113%25 Jul →
cache1–13-0.049%24 Jul →
ancient15–15-0.0617%24 Jul →
inferno16–14-0.0233%23 Jul →
cache9–130.0213%22 Jul →
ancient8–13-0.0011%22 Jul →
mirage13–8-0.0215%22 Jul →
nuke11–13-0.029%22 Jul →
nuke6–13-0.0618%22 Jul →
dust23–13-0.090%22 Jul →
mirage4–13-0.0912%22 Jul →
cache8–13-0.0710%21 Jul →
cache13–9-0.0012%20 Jul →
cache13–11-0.009%20 Jul →
ancient9–13-0.058%20 Jul →
anubis4–13-0.0519%20 Jul →
mirage13–70.106%20 Jul →
dust213–20.049%20 Jul →
anubis12–16-0.0314%19 Jul →
nuke13–6-0.048%19 Jul →
ancient8–13-0.0420%19 Jul →
cache13–50.0322%19 Jul →
mirage16–14-0.067%19 Jul →
inferno13–3-0.027%19 Jul →
ancient6–13-0.019%18 Jul →
mirage1–13-0.0610%17 Jul →
anubis13–6-0.058%13 Jul →
dust213–9-0.0314%13 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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