Vanilla Thunder

Vanilla Thunder — CS2 Stats

US76561198832522075[U:1:872256347]Steam profile ↗✓ No bans

2,529Tracked matches40%Win rate2020Tracked since
CSDB Rating5.8 SolidClutch Specialist
Premier CS Rating20,041Top 50% of 213,542 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82705 of 260074 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (5 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: 20,041 -473 22 Sept – 1 Nov · 7 days played
20,04120,565peak 20,56522 Sept1 Nov
20,774Peak Premier in tracked matches
26Days played since 2026-09-20

Premier CS Rating

  • 524 below peak (20,565)
  • -364 over 30 days · steady
  • Next: Red band at 25,000 — 4,959 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.

Share this profile

CSDB.GGVanilla ThunderPREMIER20,041 · Pink 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

Aim61
Positioning71
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateTWWLTWWLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · −8ms reaction

Win rate up 40pp 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 588ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.2 against its own average).

Aim6.1
Utility5.5
Positioning7.1
Opening Duels4.6
Clutch10.0

Reliable in 1v1s

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

m0NESY

Plays most like m0NESY 77% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 577ms 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
Positioning7.1
Utility5.5
Mechanics5.2
Opening Duels6.4
Win Impact1.7

Composite 5.8/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time570ms−2ms
first ⅓ avg 572ms → last ⅓ avg 570ms
Headshot accuracy15.5%+2.7%
first ⅓ avg 12.8% → last ⅓ avg 15.5%

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 · nuke, 21 Sept →
42%Best headshot accuracy · 8–13 · nuke, 14 Oct →
406msFastest reaction time · 1–13 · anubis, 14 Oct →
13–2Biggest win · nuke, 26 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 56% over 32anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA3218–1456%0.01
vertigoB2312–1152%0.03
infernoC94–544%-0.02
anubisD92–722%-0.01
mirageC83–538%-0.01
ancientD62–433%0.05
train—43–175%-0.01
office—30–30%-0.04
cache—30–30%-0.02
dust2—20–20%-0.03
debris—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
42%Win rate
0.52Avg K/D
81.7ADR
39%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%1.0020.0
Dust210%0.6813.0

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.

14.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
42.7%Spray accuracy
73.4%Counter-strafing
12.5°Preaim
577msReaction time
67.1%T opening success
44.1%CT opening success
0.57Enemies flashed / flash
4.6%Flash assists
10.68HE damage / grenade
7.19Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5125° — above the 12° mark we flag

    Aim Training →
  2. 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 14.8321% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo12–120.0315%4 Nov →
nuke13–9-0.0418%4 Nov →
mirage13–4-0.0619%1 Nov →
dust28–13-0.0021%1 Nov →
vertigo12–120.0816%1 Nov →
nuke13–50.0322%1 Nov →
inferno13–90.0319%31 Oct →
anubis4–13-0.084%31 Oct →
nuke13–70.1017%31 Oct →
inferno13–9-0.0217%31 Oct →
ancient5–13-0.0517%31 Oct →
mirage7–13-0.0114%31 Oct →
mirage13–50.018%30 Oct →
nuke11–13-0.0514%30 Oct →
vertigo11–130.0719%30 Oct →
nuke11–13-0.0214%30 Oct →
nuke12–120.0019%30 Oct →
office5–13-0.0017%29 Oct →
inferno15–15-0.0213%17 Oct →
nuke13–50.0812%17 Oct →
anubis10–130.0211%17 Oct →
vertigo13–100.009%16 Oct →
nuke12–120.0311%16 Oct →
vertigo5–13-0.0115%16 Oct →
nuke7–13-0.0215%16 Oct →
ancient7–13-0.059%16 Oct →
mirage11–13-0.0513%16 Oct →
vertigo13–90.1114%15 Oct →
nuke4–130.0019%15 Oct →
anubis1–13-0.0719%14 Oct →
ancient13–110.0911%14 Oct →
vertigo13–30.0612%14 Oct →
nuke8–130.0142%14 Oct →
vertigo4–130.0340%13 Oct →
vertigo11–130.0512%13 Oct →
nuke3–13-0.0324%13 Oct →
vertigo13–80.079%12 Oct →
nuke4–13-0.0514%12 Oct →
inferno7–13-0.0619%12 Oct →
ancient7–130.0824%12 Oct →
inferno2–13-0.029%10 Oct →
office3–13-0.120%10 Oct →
anubis1–13-0.0414%10 Oct →
dust28–13-0.0513%10 Oct →
mirage13–80.0415%10 Oct →
train13–10-0.0116%10 Oct →
nuke13–90.0418%10 Oct →
cache8–13-0.0014%10 Oct →
inferno2–13-0.0716%10 Oct →
vertigo13–6-0.0311%10 Oct →
nuke13–11-0.055%9 Oct →
nuke13–100.0518%9 Oct →
train12–120.0213%9 Oct →
ancient6–130.0912%9 Oct →
nuke12–12-0.046%3 Oct →
train13–7-0.0218%3 Oct →
mirage6–13-0.0123%2 Oct →
nuke8–130.0529%2 Oct →
ancient13–50.1214%2 Oct →
inferno4–13-0.0525%2 Oct →
mirage8–13-0.0114%1 Oct →
office8–13-0.0033%30 Sept →
vertigo13–30.0415%30 Sept →
nuke13–90.0818%30 Sept →
vertigo13–7-0.0113%29 Sept →
nuke13–90.0310%29 Sept →
vertigo10–13-0.0010%28 Sept →
anubis13–100.0715%28 Sept →
vertigo13–60.0315%28 Sept →
nuke13–70.0011%28 Sept →
mirage12–12-0.0215%26 Sept →
nuke6–13-0.047%26 Sept →
anubis2–13-0.0516%26 Sept →
vertigo8–13-0.0515%26 Sept →
nuke13–110.0211%26 Sept →
train13–10-0.049%26 Sept →
nuke13–2-0.0115%26 Sept →
inferno13–110.018%25 Sept →
cache4–13-0.0416%25 Sept →
vertigo10–13-0.0018%25 Sept →
nuke13–110.0712%25 Sept →
anubis13–40.0517%24 Sept →
vertigo13–90.0316%24 Sept →
nuke12–12-0.0415%24 Sept →
vertigo12–120.0114%23 Sept →
nuke13–9-0.0813%23 Sept →
nuke13–90.0219%22 Sept →
vertigo13–20.0412%22 Sept →
nuke13–80.0617%22 Sept →
cache7–13-0.0212%21 Sept →
anubis3–130.0213%21 Sept →
vertigo13–40.126%21 Sept →
nuke13–30.1315%21 Sept →
nuke5–9-0.0711%20 Sept →
debris9–70.0113%20 Sept →
inferno9–50.0210%20 Sept →
nuke13–110.058%20 Sept →
vertigo13–20.0515%20 Sept →
anubis9–13-0.0313%20 Sept →
vertigo10–13-0.014%20 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 →

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