Willhelm

Willhelm — CS2 Stats

76561198256223570[U:1:295957842]Steam profile ↗✓ No bans

1,767Tracked matches41%Win rate2020Tracked since
2,801Hours in CS0Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating19,999Top 50% of 212,695 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85329 of 259550 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (14 days ago). 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: 19,999 -3,378 22 Jul – 19 Oct · 31 days played
18,63223,983peak 23,98322 Jul19 Oct
24,157Peak Premier in tracked matches
34Days played since 2026-07-22

Premier CS Rating

  • 3,984 below peak (23,983)
  • -741 over 30 days · declining
  • -3,378 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 rate47.0%42.7%43.8%above
Shot accuracy7.5%11.2%12.0%4.5% short
Kill/death ratio0.940.991.020.08 short
Match win rate37.9%43.9%44.7%6.8% short

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.GGWillhelmFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,999 · Purple 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

Aim69
Positioning65
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY38–54–8Last 10038%Win rateWTLLWWWWTL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −0.4pp headshot accuracy · −31ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 525ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 540ms

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 (+1.2 against its own average).

Aim6.9
Utility5.4
Positioning6.5
Opening Duels3.5
Clutch6.0

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 87% 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. 553ms 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

Aim6.9
Positioning6.5
Utility5.4
Mechanics6.3
Opening Duels4.2
Win Impact1.9

Composite 5.7/10 (Solid), 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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time565ms−42ms
first ⅓ avg 607ms → last ⅓ avg 565ms
Headshot accuracy18.4%−3.7%
first ⅓ avg 22.1% → last ⅓ avg 18.4%

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

0.13Best match rating · 13–3 · mirage, 7 Sept →
75%Best headshot accuracy · 3–3 · anubis, 13 Sept →
391msFastest reaction time · 3–13 · ancient, 5 Sept →
13–3Biggest win · anubis, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 45% over 11cacheWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
cacheD248–1633%0.00
mirageC176–1135%-0.01
nukeC177–1041%0.01
infernoC135–838%-0.03
anubisB115–645%-0.01
ancientC94–544%-0.02
dust2C83–538%-0.00
train—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

54,974Lifetime kills
0.94K/D
3,386Matches
37.9%Match win rate
47.0%Headshot % · Top 50% of Level 4 players
7.5%Shot accuracy
6,104MVPs
1,078Hours (in match)
2,818Bombs planted
571Bombs defused

Most-used weapons

AK-4717,844
AWP3,796
Knife1,695
MP91,404
MAC-101,333

Lifetime map wins

4,833dust2
3,391nuke
2,940inferno
948vertigo
747train
445office
50lake
33ar_shoots

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

Faceit stats

Combat

46Matches
46%Win rate
1.09Avg K/D
75.0ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
23%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1464%1.0414.1
Nuke1050%0.8311.5
Dust2944%1.0315.3
Vertigo333%0.6711.3
Inferno333%3.1515.3
Anubis333%0.7910.7
Overpass20%0.9113.5
Ancient20%1.0818.5

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.

18.5%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.8%Spray accuracy
78.2%Counter-strafing
10.6°Preaim
553msReaction time
50.3%T opening success
43.3%CT opening success
0.53Enemies flashed / flash
9.0%Flash assists
8.29HE damage / grenade
9.81Flashes / match

Recommended for you

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.

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0213%19 Oct →
anubis15–15-0.0410%19 Oct →
inferno8–130.0218%19 Oct →
mirage7–130.0021%18 Oct →
ancient13–90.0728%18 Oct →
mirage13–110.0113%18 Oct →
mirage13–90.0914%18 Oct →
anubis13–10-0.0215%18 Oct →
cache15–150.0433%17 Oct →
nuke13–160.0420%17 Oct →
dust213–10-0.0415%17 Oct →
mirage10–130.0214%14 Oct →
inferno5–130.0121%13 Oct →
ancient11–13-0.1110%8 Oct →
nuke13–7-0.0418%7 Oct →
nuke7–130.0119%5 Oct →
nuke13–60.0923%5 Oct →
inferno11–13-0.0121%5 Oct →
cache7–13-0.0326%5 Oct →
dust24–13-0.0823%5 Oct →
dust28–130.0221%4 Oct →
cache5–13-0.0126%4 Oct →
cache13–7-0.0121%3 Oct →
inferno11–13-0.0427%3 Oct →
cache14–16-0.0212%2 Oct →
mirage13–7-0.0413%28 Sept →
cache15–15-0.0312%28 Sept →
anubis2–13-0.0616%26 Sept →
cache3–11-0.0222%26 Sept →
cache16–13-0.0019%26 Sept →
cache13–80.0313%26 Sept →
cache13–11-0.0218%26 Sept →
anubis13–30.0013%26 Sept →
ancient10–13-0.0612%25 Sept →
nuke13–6-0.0326%25 Sept →
anubis8–130.028%20 Sept →
mirage9–13-0.0120%20 Sept →
ancient13–11-0.0013%20 Sept →
nuke13–100.0716%20 Sept →
anubis10–13-0.0623%20 Sept →
anubis12–16-0.0115%20 Sept →
mirage7–13-0.1015%19 Sept →
cache13–70.0218%19 Sept →
nuke10–13-0.066%19 Sept →
dust213–40.0231%19 Sept →
cache15–150.0318%19 Sept →
mirage3–13-0.0511%19 Sept →
dust28–130.0635%19 Sept →
cache9–13-0.0630%17 Sept →
mirage8–13-0.0313%16 Sept →
mirage3–80.000%13 Sept →
mirage11–130.0414%13 Sept →
mirage2–13-0.090%13 Sept →
anubis3–30.0475%13 Sept →
nuke13–50.0312%12 Sept →
inferno7–13-0.0821%12 Sept →
cache13–110.0316%12 Sept →
train8–13-0.0229%12 Sept →
dust21–13-0.0424%9 Sept →
mirage13–11-0.0218%9 Sept →
mirage5–10-0.0522%8 Sept →
inferno13–100.0120%7 Sept →
cache7–130.0620%7 Sept →
mirage16–14-0.0913%7 Sept →
mirage13–30.1324%7 Sept →
nuke4–13-0.0518%7 Sept →
cache13–50.0617%7 Sept →
nuke13–9-0.0125%7 Sept →
inferno3–13-0.0831%7 Sept →
cache2–13-0.0018%7 Sept →
cache8–130.0516%5 Sept →
cache16–14-0.0421%5 Sept →
ancient3–13-0.120%5 Sept →
inferno13–8-0.0520%5 Sept →
nuke13–60.0936%5 Sept →
nuke13–160.0224%5 Sept →
ancient3–130.0114%5 Sept →
dust210–13-0.0324%5 Sept →
nuke12–120.0333%3 Sept →
ancient13–70.0121%2 Sept →
nuke15–150.0620%2 Sept →
nuke1–13-0.0224%2 Sept →
mirage9–130.0629%2 Sept →
dust213–80.0736%1 Sept →
nuke12–12-0.0025%30 Aug →
cache6–13-0.1018%17 Aug →
ancient5–13-0.0221%14 Aug →
cache8–130.0330%14 Aug →
cache10–130.0723%31 Jul →
inferno11–13-0.0122%31 Jul →
anubis3–13-0.0422%30 Jul →
inferno8–13-0.0229%30 Jul →
cache11–130.0218%30 Jul →
nuke8–13-0.0032%29 Jul →
cache15–15-0.0225%29 Jul →
inferno13–8-0.0810%29 Jul →
ancient13–90.0620%29 Jul →
anubis13–30.0316%22 Jul →
inferno13–11-0.0712%22 Jul →
anubis13–8-0.0213%22 Jul →

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 →

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