Thunderv3

Thunderv3 — CS2 Stats

76561197961847165[U:1:1581437]Steam profile ↗VAC banned

1,752Tracked matches50%Win rate2020Tracked since
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating3,985Grey band · top ~83.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (yesterday). 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: 3,985 -3,176 15 Aug – 6 Oct · 34 days played
3,4227,161peak 7,16115 Aug6 Oct
7,534Peak Premier in tracked matches
34Days played since 2026-08-15

Premier CS Rating

  • 3,176 below peak (7,161)
  • -1,563 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,015 to go
  • Reached: 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.GGThunderv3FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,985 · Grey bandcsdb.gg/stats

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Performance scores

Aim40
Positioning50
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLWWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · −24ms 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 11%
  • Avg reaction 564ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 570ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 582ms

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 (+4.8 against its own average).

Aim4.0
Utility4.9
Positioning5.0
Opening Duels1.0
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

NiKo

Plays most like NiKo 68% 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

Areas to improve

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0
Positioning5.0
Utility4.9
Mechanics3.9
Opening Duels1.9
Win Impact5.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time582ms+22ms
first ⅓ avg 561ms → last ⅓ avg 582ms
Headshot accuracy11.7%+0.2%
first ⅓ avg 11.5% → last ⅓ avg 11.7%

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

0.12Best match rating · 13–4 · nuke, 30 Aug →
23%Best headshot accuracy · 13–6 · dust2, 4 Oct →
391msFastest reaction time · 7–13 · dust2, 2 Oct →
13–1Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 64% over 14mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC2912–1741%-0.02
infernoA149–564%-0.00
cacheA148–657%-0.01
dust2B147–750%-0.02
ancientD123–925%-0.01
anubisB115–645%0.01
mirageD60–60%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

165Matches
45%Win rate
0.75Avg K/D
78.1ADR
35%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.7010.0
Nuke367%1.1410.3
Anubis250%1.0415.0
Ancient10%0.7110.0

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.

11.5%Headshot accuracy
31.0%Accuracy (enemy spotted)
46.8%Spray accuracy
67.5%Counter-strafing
14.0°Preaim
583msReaction time
37.9%T opening success
37.3%CT opening success
0.39Enemies flashed / flash
4.6%Flash assists
5.78HE damage / grenade
7.81Flashes / 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 14.0319° — 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 11.458% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3854 — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0412%6 Oct →
mirage10–13-0.0414%6 Oct →
inferno13–90.0511%5 Oct →
cache13–90.017%4 Oct →
anubis9–13-0.0113%4 Oct →
inferno13–7-0.013%4 Oct →
cache13–8-0.035%4 Oct →
dust213–60.0923%4 Oct →
nuke14–16-0.059%3 Oct →
cache10–130.039%3 Oct →
anubis13–10.1121%3 Oct →
inferno13–90.027%3 Oct →
cache16–120.0510%3 Oct →
dust27–13-0.0822%2 Oct →
dust26–13-0.0811%26 Sept →
dust25–13-0.028%22 Sept →
dust22–13-0.0815%22 Sept →
nuke1–13-0.0415%20 Sept →
anubis13–30.034%20 Sept →
anubis13–80.0613%20 Sept →
inferno13–110.0311%20 Sept →
inferno10–13-0.0214%20 Sept →
dust213–40.0513%20 Sept →
dust210–130.0511%19 Sept →
nuke13–100.0012%18 Sept →
inferno7–13-0.026%18 Sept →
cache11–13-0.0410%18 Sept →
mirage8–13-0.0111%18 Sept →
ancient9–130.0812%16 Sept →
nuke13–9-0.0317%14 Sept →
nuke6–13-0.0713%14 Sept →
inferno15–15-0.019%13 Sept →
nuke13–70.0216%13 Sept →
dust213–110.0618%13 Sept →
nuke7–13-0.0119%12 Sept →
cache10–13-0.0211%11 Sept →
nuke10–13-0.0513%11 Sept →
nuke7–13-0.039%11 Sept →
ancient13–60.0113%11 Sept →
dust213–11-0.062%11 Sept →
cache13–10-0.0710%11 Sept →
mirage10–13-0.0510%11 Sept →
dust213–8-0.027%11 Sept →
nuke6–13-0.0515%8 Sept →
cache4–13-0.0913%8 Sept →
anubis6–13-0.102%8 Sept →
mirage9–13-0.0216%8 Sept →
nuke11–13-0.027%8 Sept →
nuke14–16-0.0212%8 Sept →
nuke11–13-0.0122%7 Sept →
nuke5–13-0.0419%7 Sept →
cache13–50.0211%7 Sept →
inferno11–13-0.0613%7 Sept →
nuke13–11-0.0015%7 Sept →
ancient13–10-0.089%7 Sept →
dust24–13-0.048%7 Sept →
nuke10–13-0.0413%6 Sept →
inferno13–60.0717%6 Sept →
nuke15–15-0.0410%6 Sept →
anubis13–6-0.0221%6 Sept →
mirage10–13-0.0620%6 Sept →
cache3–13-0.0416%6 Sept →
nuke15–15-0.0416%5 Sept →
inferno13–10-0.0314%5 Sept →
cache13–70.048%5 Sept →
nuke13–6-0.0311%5 Sept →
inferno9–13-0.0515%5 Sept →
ancient7–13-0.017%5 Sept →
ancient4–2-0.025%5 Sept →
ancient11–13-0.0211%4 Sept →
cache13–2-0.0212%4 Sept →
inferno13–5-0.0511%4 Sept →
ancient5–13-0.029%4 Sept →
inferno13–5-0.0319%3 Sept →
ancient10–13-0.0211%3 Sept →
mirage2–13-0.0519%2 Sept →
anubis10–13-0.0218%2 Sept →
dust27–13-0.0717%1 Sept →
nuke10–13-0.0319%31 Aug →
ancient10–130.018%30 Aug →
nuke13–11-0.009%30 Aug →
anubis13–50.0312%30 Aug →
nuke13–40.1219%30 Aug →
ancient11–13-0.0215%29 Aug →
cache13–4-0.028%29 Aug →
anubis8–130.057%28 Aug →
ancient12–16-0.039%28 Aug →
dust213–10-0.057%26 Aug →
dust213–3-0.069%26 Aug →
nuke7–13-0.0111%25 Aug →
nuke13–80.0013%24 Aug →
nuke13–11-0.0315%24 Aug →
cache5–13-0.043%23 Aug →
anubis15–15-0.0214%23 Aug →
nuke13–9-0.0014%18 Aug →
ancient5–130.0112%16 Aug →
nuke8–13-0.025%16 Aug →
nuke13–80.017%16 Aug →
anubis13–16-0.0610%15 Aug →
inferno13–80.0918%15 Aug →

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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