V1KING

V1KING — CS2 Stats

SE76561198079956935[U:1:119691207]Steam profile ↗✓ No bans

561Tracked matches54%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 561 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,781 +12,246 30 Mar – 6 Jun · 15 days played
9,53521,983peak 21,98330 Mar6 Jun
21,996Peak Premier in tracked matches
28Days played since 2026-03-28

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

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CSDB.GGV1KINGFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning69
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY69–27–4Last 10069%Win rateWLLLWWTWLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.9pp headshot accuracy · −21ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 513ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 492ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 503ms

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 (+1.3 against its own average).

Aim8.8
Utility5.0
Positioning6.9
Opening Duels6.2
Clutch4.4

Sharp aimer

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

donk

Plays most like donk 93% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 62% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8
Positioning6.9
Utility5.0
Mechanics6.5
Opening Duels5.3
Win Impact6.2

Composite 6.9/10 (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 rating0.02−0.06
first ⅓ avg 0.08 → last ⅓ avg 0.02
Reaction time538ms−24ms
first ⅓ avg 562ms → last ⅓ avg 538ms
Headshot accuracy22.1%−2.9%
first ⅓ avg 25.0% → last ⅓ avg 22.1%

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

0.25Best match rating · 13–10 · mirage, 4 Apr →
58%Best headshot accuracy · 3–8 · cache, 19 Oct →
375msFastest reaction time · 13–2 · mirage, 16 May →
13–0Biggest win · anubis, 17 Apr →

Across the last 100 tracked matches.

Highlights

15Longest win streak
4–2In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 84% over 19dust2Weakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS1916–384%0.07
infernoS1611–569%0.05
ancientA159–660%0.03
anubisS1210–283%0.04
cacheS107–370%0.03
overpassS96–367%0.04
dust2B63–350%0.06
vertigo—31–233%0.01
poseidon—21–150%0.10
nuke—11–0100%0.06
fachwerk—10–10%0.00
debris—11–0100%0.08
eldorado—11–0100%0.03
alpine—10–10%-0.09
italy—11–0100%0.03
stronghold—11–0100%0.06
train—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

969Matches
52%Win rate
1.25Avg K/D
79.6ADR
38%Headshot %

Clutches & streaks

42%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8149%1.1116.7
Anubis3563%1.3517.0
Ancient3453%1.1217.4
Inferno2536%1.1316.4
Overpass1225%1.1816.3
Train20%1.1220.5
Vertigo10%1.5323.0
Nuke1100%1.5614.0

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.

21.1%Headshot accuracy
38.7%Accuracy (enemy spotted)
45.4%Spray accuracy
79.0%Counter-strafing
9.3°Preaim
513msReaction time
40.2%T opening success
61.9%CT opening success
0.59Enemies flashed / flash
9.5%Flash assists
7.97HE damage / grenade
6.35Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno13–90.0010%25 Oct →
vertigo9–13-0.0728%25 Oct →
cache3–80.0358%19 Oct →
inferno7–13-0.0133%19 Oct →
nuke13–70.0615%28 Aug →
cache13–110.0822%28 Aug →
overpass12–120.0721%28 Aug →
vertigo13–50.1214%21 Aug →
ancient4–13-0.0119%21 Aug →
cache13–80.0615%21 Aug →
inferno12–120.0119%13 Aug →
ancient16–13-0.0410%1 Aug →
inferno10–130.0115%1 Aug →
mirage13–60.038%1 Aug →
anubis13–110.0012%1 Aug →
dust24–9-0.030%17 Jul →
mirage13–7-0.0138%17 Jul →
mirage12–160.0422%17 Jul →
cache13–90.0319%10 Jul →
anubis3–13-0.0354%10 Jul →
fachwerk5–130.0023%10 Jul →
debris9–40.0828%10 Jul →
eldorado9–50.0322%10 Jul →
cache13–80.0216%9 Jul →
poseidon8–8-0.0318%30 Jun →
poseidon9–20.2224%25 Jun →
cache5–130.0321%25 Jun →
alpine1–13-0.0929%25 Jun →
italy13–70.0342%25 Jun →
mirage9–13-0.0115%6 Jun →
ancient12–160.0317%6 Jun →
anubis16–130.0128%6 Jun →
ancient13–50.0518%6 Jun →
anubis13–11-0.0320%23 May →
overpass15–150.0321%23 May →
inferno13–50.0710%23 May →
ancient13–20.0550%23 May →
anubis7–13-0.034%23 May →
dust24–13-0.0341%18 May →
ancient5–13-0.0810%18 May →
anubis13–6-0.047%18 May →
overpass7–13-0.0126%18 May →
inferno13–50.0318%16 May →
mirage13–20.0911%16 May →
anubis13–60.0114%16 May →
ancient13–60.0716%16 May →
inferno13–70.0232%15 May →
cache13–7-0.0614%13 May →
mirage13–10.1017%13 May →
mirage13–50.0513%13 May →
inferno6–13-0.0315%13 May →
dust27–130.0234%13 May →
ancient8–130.0129%13 May →
inferno13–90.1133%13 May →
ancient13–6-0.0124%13 May →
mirage13–30.1621%13 May →
overpass13–50.0920%12 May →
mirage5–13-0.0435%12 May →
inferno13–50.1127%12 May →
inferno13–40.1022%12 May →
dust213–20.1723%12 May →
dust213–80.1131%12 May →
ancient13–90.1330%12 May →
mirage13–20.0139%12 May →
overpass9–30.0428%12 May →
cache13–80.0322%10 May →
anubis13–60.0617%10 May →
mirage13–30.1620%10 May →
overpass13–9-0.0528%1 May →
cache5–50.0739%1 May →
cache13–100.0250%1 May →
anubis13–40.1221%27 Apr →
overpass16–120.1229%27 Apr →
ancient7–00.0212%27 Apr →
mirage13–10.0536%17 Apr →
anubis13–00.1026%17 Apr →
mirage13–100.0923%11 Apr →
ancient6–13-0.026%11 Apr →
anubis13–10.1722%11 Apr →
overpass13–10-0.0216%11 Apr →
mirage16–120.0322%10 Apr →
inferno13–11-0.0222%10 Apr →
mirage13–20.0558%10 Apr →
inferno13–70.1418%10 Apr →
ancient13–70.0019%10 Apr →
mirage13–80.0313%7 Apr →
overpass13–70.0926%4 Apr →
inferno13–90.1332%4 Apr →
mirage13–100.2527%4 Apr →
mirage12–20.1318%4 Apr →
mirage13–80.1628%4 Apr →
ancient13–20.1314%30 Mar →
dust213–00.1119%30 Mar →
inferno6–130.0122%30 Mar →
anubis13–90.1322%30 Mar →
inferno13–50.1931%30 Mar →
ancient10–30.1624%30 Mar →
stronghold13–80.0630%28 Mar →
train5–13-0.0246%28 Mar →
vertigo8–10-0.018%28 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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