Viktator Willy

Viktator Willy — CS2 Stats

SE76561198975158339[U:1:1014892611]Steam profile ↗✓ No bans

3,324Tracked matches59%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating17,468Purple band · top ~18.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (10 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: 17,468 +2,365 3 Sept – 7 Oct · 19 days played
15,10319,999peak 19,9993 Sept7 Oct
19,999Peak Premier in tracked matches
18Days played since 2026-09-03

Premier CS Rating

  • 2,531 below peak (19,999)
  • -1,194 over 30 days · declining
  • Next: Pink band at 20,000 — 2,532 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGViktator WillyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,468 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning46
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLWWLWWLLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −121ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 549ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 533ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

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 (+3.8 against its own average).

Aim6.1
Utility7.5
Positioning4.6
Opening Duels0.0
Clutch2.6

High utility contribution

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 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 49% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim6.1
Positioning4.6
Utility7.5
Mechanics6.3
Opening Duels2.4
Win Impact7.9

Composite 5.9/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time594ms−3ms
first ⅓ avg 597ms → last ⅓ avg 594ms
Headshot accuracy14.4%−1.7%
first ⅓ avg 16.1% → last ⅓ avg 14.4%

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

0.27Best match rating · 9–4 · inferno, 19 Sept →
36%Best headshot accuracy · 10–13 · dust2, 14 Sept →
422msFastest reaction time · 6–13 · mirage, 6 Oct →
13–0Biggest win · dust2, 22 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 80% over 10dust2Weakest map · 36% over 28
MapGradePlayedRecordWin rateAvg rating
dust2C2810–1836%-0.01
infernoC219–1243%-0.01
mirageB158–753%-0.02
cacheS108–280%0.01
anubisS97–278%-0.01
ancientA95–456%-0.02
nukeS64–267%-0.03
rush_001—11–0100%0.12
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

102Matches
46%Win rate
0.82Avg K/D
80.5ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno838%1.3015.0
Nuke560%0.7812.4
Ancient450%0.8816.8
Dust230%0.487.3
Mirage250%1.0212.5
Train250%1.0021.5
Anubis2100%0.7220.0
Cache1100%0.8612.0

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.

14.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.9%Spray accuracy
78.2%Counter-strafing
9.2°Preaim
579msReaction time
49.0%T opening success
30.0%CT opening success
0.68Enemies flashed / flash
7.2%Flash assists
14.92HE damage / grenade
11.23Flashes / 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 14.2758% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.9577% — below the 40% mark we flag

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.

36% win rate across 28 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
dust211–13-0.028%7 Oct →
cache13–9-0.019%7 Oct →
mirage13–11-0.039%6 Oct →
anubis10–130.019%6 Oct →
anubis13–110.0211%6 Oct →
dust25–0-0.0325%6 Oct →
dust26–13-0.0214%6 Oct →
cache9–130.0117%6 Oct →
dust213–5-0.0217%6 Oct →
mirage6–13-0.0520%6 Oct →
mirage15–15-0.0615%6 Oct →
inferno5–13-0.0315%5 Oct →
nuke3–13-0.0336%4 Oct →
dust211–130.0111%4 Oct →
dust29–13-0.0021%4 Oct →
nuke13–3-0.0312%4 Oct →
cache11–13-0.0111%4 Oct →
cache13–7-0.0023%4 Oct →
nuke13–110.0117%4 Oct →
rush_0017–30.129%4 Oct →
vertigo13–7-0.0210%3 Oct →
inferno16–13-0.0016%2 Oct →
anubis13–9-0.067%2 Oct →
ancient13–70.017%2 Oct →
anubis13–70.0017%2 Oct →
inferno2–13-0.0317%2 Oct →
mirage10–130.0110%2 Oct →
mirage13–110.0015%1 Oct →
ancient13–10-0.0217%1 Oct →
dust213–5-0.0513%1 Oct →
nuke13–6-0.0617%1 Oct →
anubis13–10-0.0116%1 Oct →
dust24–13-0.094%1 Oct →
mirage13–3-0.0123%1 Oct →
anubis16–13-0.0121%1 Oct →
mirage13–8-0.048%1 Oct →
anubis13–9-0.0421%1 Oct →
dust22–13-0.0819%1 Oct →
cache13–60.0610%1 Oct →
anubis14–16-0.0413%25 Sept →
inferno13–11-0.0113%25 Sept →
dust25–13-0.0513%25 Sept →
ancient13–16-0.0312%25 Sept →
dust214–160.0612%25 Sept →
inferno13–9-0.0329%25 Sept →
inferno7–13-0.0322%25 Sept →
dust210–130.0211%24 Sept →
ancient15–15-0.0113%24 Sept →
nuke6–13-0.0514%24 Sept →
ancient5–130.0412%24 Sept →
ancient5–13-0.1027%23 Sept →
dust216–14-0.0128%23 Sept →
mirage13–9-0.0115%23 Sept →
cache13–9-0.019%23 Sept →
cache13–5-0.0518%23 Sept →
ancient13–11-0.0418%23 Sept →
dust213–3-0.0115%23 Sept →
inferno6–13-0.0513%23 Sept →
dust213–00.0118%22 Sept →
inferno15–15-0.0511%22 Sept →
cache13–60.0614%22 Sept →
inferno11–13-0.0230%22 Sept →
ancient13–10-0.0426%22 Sept →
inferno14–160.0216%22 Sept →
dust28–130.0313%22 Sept →
nuke13–4-0.0011%22 Sept →
mirage8–13-0.0723%21 Sept →
inferno9–130.0415%21 Sept →
inferno13–80.0315%21 Sept →
anubis13–60.085%21 Sept →
dust210–130.0520%20 Sept →
mirage10–130.0614%20 Sept →
dust25–130.0031%20 Sept →
inferno5–13-0.129%20 Sept →
inferno9–40.2724%19 Sept →
dust213–100.0710%19 Sept →
inferno11–130.016%19 Sept →
dust28–13-0.0414%19 Sept →
dust213–90.0411%19 Sept →
inferno15–15-0.0018%17 Sept →
dust213–4-0.0311%17 Sept →
inferno13–5-0.0219%17 Sept →
cache13–60.0420%17 Sept →
dust213–50.0018%17 Sept →
dust23–13-0.1120%17 Sept →
mirage11–13-0.0314%16 Sept →
cache13–8-0.0329%16 Sept →
mirage13–3-0.0413%16 Sept →
dust29–13-0.0718%16 Sept →
inferno13–4-0.0621%15 Sept →
inferno13–40.0417%15 Sept →
mirage13–9-0.0015%15 Sept →
ancient13–100.0120%15 Sept →
dust210–13-0.0436%14 Sept →
dust27–13-0.025%14 Sept →
mirage16–13-0.0216%14 Sept →
inferno16–14-0.039%14 Sept →
mirage3–13-0.0317%14 Sept →
inferno2–13-0.113%14 Sept →
dust215–15-0.0018%14 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 →

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