GiveawaySign In
VANTABLACK SOUL

VANTABLACK SOUL — CS2 Stats

76561198116363629[U:1:156097901]Steam profile ↗✓ No bans

2,826Tracked matches47%Win rate2020Tracked since
5,874Hours in CS13Hrs last 2 wks
CSDB Rating5.6 SolidSupport
CSDB Leaderboard#220539 of 261529 tracked
FaceitLevel 10 · 2,521 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,521 → 2,521
+65Tracked matches · now 2,826
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

2,521Highest Faceit ELO seen on CSDB
85Days played since 2025-03-08

Faceit ELO

  • At peak — 2,521
  • Next: 3,000 ELO at 3,000 — 479 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-10-03
  • Level 10 first seen 2026-10-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate39.7%50.9%
Shot accuracy16.5%13.7%
Kill/death ratio0.771.09
Match win rate47.0%48.4%

Share this profile

CSDB.GGVANTABLACK SOULFACEITLevel 10 · 2,521 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,521csdb.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

Aim58
Positioning54
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLLWWLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · −14ms 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 -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 534ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 565ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 572ms

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 (+2.5 against its own average).

Aim5.8
Utility7.0
Positioning5.4
Opening Duels2.1
Clutch3.6

Effective flashes

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

b1t

Plays most like b1t 72% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 590ms 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

Aim5.8
Positioning5.4
Utility7.0
Mechanics6.2
Opening Duels3.2
Win Impact3.9

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time596ms+5ms
first ⅓ avg 591ms → last ⅓ avg 596ms
Headshot accuracy10.4%−1.7%
first ⅓ avg 12.2% → last ⅓ avg 10.4%

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

0.23Best match rating · 13–4 · dust2, 10 Jul →
26%Best headshot accuracy · 13–5 · mirage, 22 Oct →
422msFastest reaction time · 9–13 · dust2, 26 Sept →
13–0Biggest win · dust2, 21 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 63% over 16infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2515–1060%0.02
mirageC198–1142%0.00
ancientA1610–663%0.01
anubisA127–558%0.01
infernoC104–640%-0.00
nukeB63–350%-0.03
overpass—43–175%0.01
train—32–167%0.00
cache—20–20%-0.01
vertigo—22–0100%0.05
office—11–0100%0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

228,765Lifetime kills
0.77K/D
9,971Matches
47.0%Match win rate
39.7%Headshot %
16.5%Shot accuracy · Top 25% of Level 10 players
24,566MVPs
4,405Hours (in match)
8,653Bombs planted
2,303Bombs defused

Most-used weapons

AK-4778,461
M4A4 / M4A1-S46,052
AWP31,816
P2000 / USP-S16,496
Desert Eagle12,102
Glock-188,204
Knife4,267
Galil AR4,134
P2504,081
FAMAS3,039

Lifetime map wins

16,655inferno
16,501dust2
4,665nuke
4,375train
1,386vertigo
621cbble
33dust
26office

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

Faceit stats

Combat

5,132Matches
50%Win rate
1.10Avg K/D
84.2ADR
34%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage59947%1.0716.1
Dust244052%1.1116.0
Ancient41353%1.0716.1
Anubis36353%1.0716.2
Inferno26652%1.1516.1
Nuke13048%1.0015.3
Train7250%1.0915.9
Overpass5141%1.2715.9

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.

10.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
32.6%Spray accuracy
77.8%Counter-strafing
8.9°Preaim
590msReaction time
41.8%T opening success
43.9%CT opening success
0.82Enemies flashed / flash
7.6%Flash assists
15.63HE damage / grenade
10.42Flashes / 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 10.3162% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.0111%6 Nov →
anubis8–13-0.0711%1 Nov →
ancient5–13-0.0814%30 Oct →
mirage10–130.0013%28 Oct →
mirage13–6-0.0015%15 Oct →
ancient13–70.1119%14 Oct →
cache8–13-0.015%11 Oct →
cache12–16-0.016%3 Oct →
anubis13–100.0112%1 Oct →
inferno11–130.003%30 Sept →
mirage9–13-0.016%29 Sept →
dust29–13-0.0213%26 Sept →
dust210–13-0.059%23 Sept →
dust216–140.0513%23 Sept →
dust211–130.0210%27 Jun →
mirage13–80.018%16 Jun →
ancient8–13-0.062%29 Apr →
dust213–7-0.017%30 Mar →
anubis13–100.036%24 Mar →
nuke7–13-0.0718%24 Mar →
ancient19–170.068%20 Mar →
dust213–5-0.059%13 Mar →
mirage9–13-0.0110%5 Mar →
mirage13–100.027%5 Mar →
ancient1–11-0.0110%5 Mar →
anubis13–80.0715%1 Mar →
dust213–80.0419%17 Feb →
mirage11–13-0.0114%13 Feb →
dust213–160.068%10 Feb →
nuke13–110.0213%3 Feb →
overpass13–10.077%1 Feb →
anubis7–130.027%29 Jan →
anubis6–13-0.0717%25 Jan →
mirage11–12-0.0515%12 Jan →
dust25–130.0413%5 Jan →
nuke6–13-0.0713%28 Dec →
ancient0–13-0.068%28 Dec →
mirage6–13-0.0616%27 Dec →
overpass13–11-0.038%24 Dec →
dust210–13-0.0513%20 Dec →
mirage19–160.024%17 Dec →
train13–50.0420%10 Dec →
nuke7–130.0524%8 Dec →
inferno16–120.0014%2 Dec →
office13–80.1610%29 Nov →
dust210–13-0.0213%29 Nov →
train1–13-0.0618%28 Nov →
nuke16–12-0.0322%25 Nov →
dust213–2-0.0016%22 Nov →
ancient13–8-0.0312%19 Nov →
overpass9–13-0.0213%19 Nov →
ancient13–110.0622%13 Nov →
train13–20.0226%6 Nov →
dust213–90.0723%4 Nov →
dust210–130.0314%4 Nov →
nuke13–9-0.0512%3 Nov →
dust213–80.0314%27 Oct →
vertigo13–11-0.0211%27 Oct →
vertigo13–30.1114%27 Oct →
ancient9–130.026%25 Oct →
mirage13–110.0317%22 Oct →
mirage13–50.1226%22 Oct →
dust28–13-0.045%21 Oct →
dust213–7-0.0019%9 Oct →
mirage5–130.0119%7 Oct →
dust213–90.0214%19 Sept →
ancient5–130.0821%18 Sept →
ancient22–20-0.029%17 Sept →
inferno10–13-0.0018%13 Sept →
ancient16–13-0.0314%9 Sept →
dust219–160.029%7 Sept →
mirage8–130.0011%3 Sept →
dust213–80.0311%31 Aug →
inferno14–16-0.0510%30 Aug →
dust27–13-0.027%29 Aug →
mirage7–130.0015%29 Aug →
ancient13–40.035%22 Aug →
ancient13–9-0.032%4 Aug →
inferno8–13-0.0015%29 Jul →
mirage16–13-0.036%27 Jul →
mirage10–13-0.0311%22 Jul →
inferno13–60.0813%19 Jul →
overpass13–20.028%16 Jul →
dust213–60.0117%16 Jul →
dust213–40.2321%10 Jul →
inferno4–13-0.0021%10 Jul →
anubis16–140.0110%9 Jul →
anubis13–7-0.016%8 Jul →
inferno13–100.0117%3 Jul →
anubis13–50.0518%30 Jun →
anubis8–130.0718%27 Jun →
mirage13–10.0724%21 Jun →
dust213–00.1720%21 Jun →
ancient13–8-0.069%29 Mar →
mirage10–13-0.019%22 Mar →
anubis13–4-0.0213%20 Mar →
dust216–130.0113%12 Mar →
inferno8–13-0.078%11 Mar →
ancient13–100.1012%10 Mar →
anubis13–16-0.034%8 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.

Explore CSDB.gg

Related

Sensitivity ConverterConvert sensitivity between CS2 and other gameseDPI CalculatorCalculate your effective DPIcm/360 CalculatorMouse distance per full turnResolution CalculatorCompare aspect ratios and resolutionsCrosshair GeneratorBuild and preview custom crosshairs

Tools

CS2 Skin WordleName the skin from an extreme close-upModel AccuracyPrediction model accuracy statsTeam Head-to-HeadCompare pro team stats

Learn & Explore

CS2 vs Rainbow Six SiegeDestructibility and operators vs pure utilityCS2 Player Roles ExplainedEntry, support, AWPer, lurker, IGLCS2 Fixes & TroubleshootingStep-by-step fixes for every common CS2 problem