JD Vance

JD Vance — CS2 Stats

76561197972109006[U:1:11843278]Steam profile ↗✓ No bans

307Tracked matches67%Win rate2020Tracked since
825Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating12,356Blue band · top ~42.4% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 12,356 +5,376 30 Jul – 10 Nov · 24 days played
6,98012,356peak 12,35630 Jul10 Nov
12,356Peak Premier in tracked matches
44Days played since 2026-06-07

Premier CS Rating

  • At peak — 12,356
  • +4,155 over 30 days · improving
  • +4,170 over 90 days
  • Next: Purple band at 15,000 — 2,644 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.4%42.0%44.4%4.9% short
Shot accuracy15.5%9.6%11.9%above
Kill/death ratio1.100.981.03above
Match win rate46.3%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJD VancePREMIER12,356 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning64
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWLWWLWWWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +4.4pp headshot accuracy · +48ms 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 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 616ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 620ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 596ms

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 (+1.5 against its own average).

Aim5.9
Utility4.1
Positioning6.4
Opening Duels4.3

Strong CT-side opener

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

jL

Plays most like jL 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

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

Areas to improve

T-side openings. Opening success drops from 62% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.9
Positioning6.4
Utility4.1
Mechanics6.5
Opening Duels5.8
Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.05
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time584ms−98ms
first ⅓ avg 682ms → last ⅓ avg 584ms
Headshot accuracy13.3%−1.1%
first ⅓ avg 14.4% → last ⅓ avg 13.3%

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

0.16Best match rating · 13–7 · cache, 26 Jul →
67%Best headshot accuracy · 0–5 · inferno, 12 Jun →
375msFastest reaction time · 6–3 · mirage, 25 Oct →
13–2Biggest win · inferno, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 85% over 13mirageWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC218–1338%-0.00
dust2C219–1243%0.00
nukeB157–847%0.03
infernoS1311–285%0.01
anubisS128–467%0.01
cacheA106–460%0.01
ancientB63–350%-0.03
train—11–0100%-0.05
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,732Lifetime kills
1.10K/D · Top 25% of Blue band
1,948Matches
46.3%Match win rate · Top 50% of Blue band
39.4%Headshot %
15.5%Shot accuracy · Top 25% of Blue band
4,815MVPs
825Hours (in match)
2,722Bombs planted
580Bombs defused

Most-used weapons

AK-478,251
P904,543
AWP3,424
SG 5531,486
MP71,198

Lifetime map wins

4,778dust2
3,001inferno
2,310nuke
1,193vertigo
338train
291office
67aztec
58dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
34.8%Spray accuracy
79.1%Counter-strafing
11.2°Preaim
590msReaction time
44.7%T opening success
61.7%CT opening success
0.46Enemies flashed / flash
2.3%Flash assists
9.17HE damage / grenade
5.63Flashes / 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 13.3155% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4579 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0016%10 Nov →
ancient8–130.0315%10 Nov →
inferno13–40.0610%6 Nov →
anubis13–70.1119%6 Nov →
mirage2–13-0.0011%6 Nov →
dust213–90.0116%30 Oct →
dust213–100.1626%30 Oct →
anubis13–4-0.0417%27 Oct →
mirage11–13-0.0218%27 Oct →
mirage8–13-0.057%27 Oct →
anubis9–13-0.0111%26 Oct →
anubis13–40.048%25 Oct →
mirage13–30.0510%25 Oct →
mirage6–3-0.040%25 Oct →
dust24–13-0.0710%24 Oct →
anubis8–10.0111%24 Oct →
cache6–13-0.058%24 Oct →
mirage13–100.0111%24 Oct →
anubis13–80.0622%23 Oct →
dust213–40.0218%23 Oct →
cache13–60.019%22 Oct →
inferno16–130.0112%21 Oct →
nuke13–9-0.0411%20 Oct →
inferno3–13-0.0012%9 Oct →
dust213–160.055%9 Oct →
anubis13–60.0513%9 Oct →
mirage16–12-0.0012%9 Oct →
cache13–4-0.0033%26 Sept →
nuke2–90.0117%26 Sept →
inferno13–20.016%26 Sept →
mirage4–130.0223%25 Sept →
dust213–60.0514%24 Sept →
nuke10–130.087%24 Sept →
inferno13–70.0311%22 Sept →
cache13–110.0512%8 Sept →
nuke7–130.0915%8 Sept →
inferno13–110.0416%29 Aug →
nuke13–30.1015%25 Aug →
anubis7–13-0.0713%23 Aug →
nuke8–130.0317%23 Aug →
inferno13–6-0.0714%5 Aug →
nuke13–50.0418%2 Aug →
dust27–13-0.0214%1 Aug →
dust213–9-0.0211%1 Aug →
cache14–160.0212%1 Aug →
dust213–90.0216%1 Aug →
nuke13–80.1413%30 Jul →
inferno13–70.016%30 Jul →
anubis11–13-0.0213%30 Jul →
mirage7–13-0.0413%29 Jul →
ancient13–40.020%29 Jul →
dust210–130.0720%28 Jul →
inferno13–20.0211%28 Jul →
anubis13–40.057%28 Jul →
dust212–160.0219%27 Jul →
inferno16–130.0613%26 Jul →
inferno16–130.0315%26 Jul →
ancient13–10-0.0914%26 Jul →
nuke13–60.1211%26 Jul →
cache13–70.167%26 Jul →
mirage13–60.108%26 Jul →
mirage6–13-0.023%26 Jul →
mirage3–13-0.0513%25 Jul →
anubis13–10-0.0214%25 Jul →
nuke15–150.0211%25 Jul →
cache13–30.018%14 Jul →
dust213–11-0.0110%5 Jul →
mirage13–3-0.039%5 Jul →
mirage8–130.0419%30 Jun →
mirage3–130.0714%28 Jun →
inferno13–11-0.0610%27 Jun →
nuke13–9-0.036%27 Jun →
dust213–9-0.0114%27 Jun →
dust20–12-0.0733%27 Jun →
ancient3–13-0.061%27 Jun →
train13–10-0.059%27 Jun →
mirage5–130.0213%24 Jun →
mirage11–13-0.0415%21 Jun →
ancient13–10-0.0313%21 Jun →
dust28–13-0.0315%16 Jun →
ancient12–12-0.048%14 Jun →
cache11–13-0.0511%14 Jun →
nuke2–13-0.126%14 Jun →
dust27–13-0.106%14 Jun →
nuke4–20.0910%14 Jun →
nuke7–13-0.0810%13 Jun →
dust211–13-0.0314%13 Jun →
mirage13–5-0.087%13 Jun →
dust21–4-0.0614%13 Jun →
dust27–13-0.0311%13 Jun →
vertigo13–90.0214%13 Jun →
nuke9–13-0.0616%12 Jun →
inferno0–5-0.0267%12 Jun →
dust213–100.0117%10 Jun →
cache13–6-0.0513%10 Jun →
anubis11–13-0.065%9 Jun →
mirage11–130.0019%8 Jun →
dust210–130.0424%7 Jun →
mirage1–13-0.0515%7 Jun →
cache7–13-0.0316%7 Jun →

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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