Wilpu

Wilpu — CS2 Stats

FI76561198240659322[U:1:280393594]Steam profile ↗✓ No bans

294Tracked matches43%Win rate2020Tracked since
1,038Hours in CS
CSDB Rating3.2 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+136Tracked matches · now 294
−10.0ppWin rate · 53.3% → 43.3%

Rating over time

28Days played since 2026-09-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches185——
Win rate49%——
K/D0.61——
Headshot %33%——

Measured 11 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 rate36.6%42.7%43.7%7.2% short
Shot accuracy17.9%11.3%12.0%above
Kill/death ratio0.820.991.020.20 short
Match win rate34.6%43.9%44.7%10.1% short

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

Widest gap: Match win rate. 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.GGWilpuFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLWWWWLWLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.0pp headshot accuracy · −74ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 6%
  • Avg reaction 561ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 6%
  • Avg reaction 550ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 7%
  • Avg reaction 587ms

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 (+1.6 against its own average).

Aim3.8
Utility4.4
Positioning4.4
Opening Duels0.0
Clutch2.6

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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning4.4
Utility4.4
Mechanics0.6
Opening Duels1.0
Win Impact2.8

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time565ms−3ms
first ⅓ avg 567ms → last ⅓ avg 565ms
Headshot accuracy8.2%−0.9%
first ⅓ avg 9.2% → last ⅓ avg 8.2%

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

0.08Best match rating · 13–2 · anubis, 9 Oct →
25%Best headshot accuracy · 1–13 · mirage, 26 Sept →
406msFastest reaction time · 6–13 · ancient, 13 Sept →
13–2Biggest win · anubis, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 60% over 20cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2012–860%-0.05
dust2A1710–759%-0.04
nukeC156–940%-0.04
mirageC146–843%-0.05
cacheD113–827%-0.02
infernoC114–736%-0.03
anubisA74–357%-0.02
vertigo—32–167%-0.03
rush_001—11–0100%-0.01
train—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

49,875Lifetime kills
0.82K/D
2,661Matches
34.6%Match win rate
36.6%Headshot %
17.9%Shot accuracy · Top 10% of Level 4 players
4,682MVPs
1,038Hours (in match)
3,176Bombs planted
410Bombs defused

Most-used weapons

AK-4716,450
AWP2,625
P901,168
AUG905
P250548
MP9517

Lifetime map wins

4,933dust2
2,456inferno
1,337train
894nuke
766vertigo
591cbble
178office
170lake

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

Faceit stats

Combat

385Matches
50%Win rate
0.70Avg K/D
63.4ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust24753%0.6911.4
Ancient4461%0.6811.3
Mirage4252%0.6410.6
Nuke3256%0.6511.0
Cache2532%0.6210.6
Inferno2442%0.6812.6
Anubis1547%0.7210.5
Vertigo757%0.729.4

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.

8.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
42.0%Spray accuracy
52.7%Counter-strafing
10.0°Preaim
565msReaction time
34.1%T opening success
34.3%CT opening success
0.54Enemies flashed / flash
2.9%Flash assists
9.43HE damage / grenade
5.33Flashes / 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 8.2378% — below the 15% mark we flag

    Aim Training →
  2. 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 34.1085% — below the 40% mark we flag

Spend your practice time on Cache

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 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.059%10 Oct →
mirage13–8-0.084%9 Oct →
ancient13–8-0.077%9 Oct →
anubis13–20.085%9 Oct →
vertigo11–00.024%9 Oct →
nuke6–13-0.083%8 Oct →
ancient13–9-0.016%7 Oct →
cache5–13-0.0612%6 Oct →
inferno15–19-0.033%5 Oct →
cache8–13-0.0611%4 Oct →
mirage8–13-0.0410%4 Oct →
ancient8–13-0.046%4 Oct →
cache13–100.049%4 Oct →
mirage9–13-0.037%3 Oct →
nuke4–13-0.105%3 Oct →
anubis6–13-0.106%3 Oct →
nuke11–13-0.0211%3 Oct →
dust213–90.0215%2 Oct →
ancient16–13-0.083%2 Oct →
nuke13–70.0113%2 Oct →
nuke13–7-0.0511%2 Oct →
mirage9–13-0.054%1 Oct →
nuke19–16-0.0411%1 Oct →
inferno2–13-0.058%30 Sept →
inferno9–13-0.0712%30 Sept →
inferno9–130.0311%30 Sept →
vertigo13–11-0.0411%29 Sept →
dust213–8-0.0213%29 Sept →
mirage10–13-0.087%28 Sept →
ancient10–13-0.0911%28 Sept →
ancient13–40.0115%28 Sept →
dust216–14-0.043%28 Sept →
cache9–13-0.068%27 Sept →
dust213–8-0.0423%27 Sept →
dust213–8-0.109%27 Sept →
ancient13–6-0.0410%27 Sept →
dust26–13-0.096%26 Sept →
ancient10–13-0.0413%26 Sept →
inferno8–13-0.047%26 Sept →
mirage1–13-0.0425%26 Sept →
nuke13–80.0615%26 Sept →
cache12–15-0.0013%26 Sept →
ancient13–6-0.0514%26 Sept →
cache13–16-0.034%25 Sept →
inferno9–40.0413%25 Sept →
cache6–13-0.0613%25 Sept →
mirage13–9-0.0510%25 Sept →
cache11–130.0311%25 Sept →
ancient13–5-0.018%24 Sept →
dust213–16-0.047%24 Sept →
nuke7–13-0.1011%24 Sept →
ancient25–23-0.0410%24 Sept →
inferno13–11-0.034%24 Sept →
mirage6–13-0.0910%23 Sept →
nuke4–13-0.1212%23 Sept →
rush_0015–1-0.0112%23 Sept →
dust213–11-0.0011%23 Sept →
mirage13–8-0.058%22 Sept →
ancient13–90.023%22 Sept →
dust219–17-0.029%21 Sept →
ancient0–13-0.1212%21 Sept →
cache13–8-0.0510%21 Sept →
anubis0–13-0.0416%20 Sept →
ancient13–8-0.0010%20 Sept →
dust214–16-0.0711%20 Sept →
mirage13–11-0.026%20 Sept →
vertigo8–13-0.095%20 Sept →
ancient8–13-0.1011%19 Sept →
dust216–14-0.042%19 Sept →
nuke9–13-0.036%19 Sept →
ancient13–9-0.046%19 Sept →
dust213–8-0.0212%19 Sept →
nuke9–13-0.075%19 Sept →
mirage7–13-0.0417%18 Sept →
anubis13–8-0.028%18 Sept →
inferno13–11-0.055%18 Sept →
nuke10–13-0.084%18 Sept →
ancient6–13-0.0911%18 Sept →
mirage7–13-0.0912%18 Sept →
dust212–16-0.059%17 Sept →
anubis8–130.0111%17 Sept →
train9–13-0.0321%16 Sept →
mirage13–11-0.068%16 Sept →
dust211–13-0.035%16 Sept →
inferno13–16-0.068%15 Sept →
nuke13–50.0311%14 Sept →
dust210–13-0.0616%14 Sept →
ancient13–10-0.0611%14 Sept →
nuke13–8-0.073%14 Sept →
nuke5–13-0.017%13 Sept →
dust213–10-0.065%13 Sept →
cache13–70.0810%13 Sept →
mirage13–100.029%13 Sept →
inferno2–130.0714%13 Sept →
anubis13–4-0.0910%13 Sept →
cache3–13-0.068%13 Sept →
inferno13–10-0.087%13 Sept →
anubis13–6-0.0211%13 Sept →
ancient6–13-0.039%13 Sept →
ancient8–13-0.0211%13 Sept →

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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