Thunder

Thunder — CS2 Stats

US76561198040785097[U:1:80519369]Steam profile ↗✓ No bans

2,497Tracked matches56%Win rate2020Tracked since
3,576Hours in CS8Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating22,763Top 25% of 213,740 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#46500 of 260212 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (15 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: 22,763 -197 31 Aug – 23 Oct · 10 days played
22,60223,881peak 23,88131 Aug23 Oct
24,001Peak Premier in tracked matches
23Days played since 2026-08-31

Premier CS Rating

  • 1,118 below peak (23,881)
  • -847 over 30 days · declining
  • Next: Red band at 25,000 — 2,237 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate68.2%45.7%46.8%above
Shot accuracy6.5%12.7%13.0%6.5% short
Kill/death ratio1.621.051.06above
Match win rate44.1%45.7%46.3%2.2% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThunderFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,763 · 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

Aim81
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

COLD48–41–11Last 10048%Win rateLTWWLLTWLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · +15ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 550ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 534ms

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 (+0.9 against its own average).

Aim8.1
Utility4.7
Positioning5.0
Opening Duels3.4
Clutch3.2

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 94% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

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

Aim8.1
Positioning5.0
Utility4.7
Mechanics5.9
Opening Duels4.4
Win Impact6.9

Composite 6.3/10 (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+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time529ms−20ms
first ⅓ avg 549ms → last ⅓ avg 529ms
Headshot accuracy22.1%+2.6%
first ⅓ avg 19.5% → 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

0.12Best match rating · 6–2 · rush_001, 10 Oct →
39%Best headshot accuracy · 4–13 · dust2, 19 Oct →
328msFastest reaction time · 5–1 · rush_001, 10 Oct →
13–1Biggest win · anubis, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–1In matches decided by ≤2 rounds

Map breakdown

rush_001Best map · 80% over 5nukeWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2111–1052%-0.02
dust2C177–1041%-0.01
nukeC176–1135%-0.01
anubisB105–550%0.01
infernoA106–460%-0.01
cacheC73–443%-0.02
rush_001S54–180%-0.01
ancient—42–250%-0.02
vertigo—32–167%0.01
train—20–20%-0.05
italy—10–10%0.09
office—11–0100%-0.07
overpass—10–10%0.10
shelter—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

230,497Lifetime kills
1.62K/D · Top 5% of Level 7 players
5,131Matches
44.1%Match win rate
68.2%Headshot % · Top 5% of Level 7 players
6.5%Shot accuracy
12,591MVPs
3,027Hours (in match)
4,175Bombs planted
2,739Bombs defused

Most-used weapons

AK-47133,275
AWP11,124
MP92,847
FAMAS2,455
SSG 081,965

Lifetime map wins

7,586inferno
6,985dust2
4,688nuke
2,492vertigo
1,266train
664cbble
567office
395lake

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

Faceit stats

Combat

333Matches
53%Win rate
0.92Avg K/D
69.8ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6139%0.8413.1
Dust25461%0.8313.3
Nuke4556%0.9013.2
Inferno3738%1.0316.0
Ancient3554%1.0816.4
Anubis2752%0.9414.5
Vertigo2250%0.9815.1
Overpass967%0.9413.6

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.

21.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.0%Spray accuracy
76.6%Counter-strafing
9.0°Preaim
532msReaction time
41.7%T opening success
53.7%CT opening success
0.46Enemies flashed / flash
10.2%Flash assists
7.18HE damage / grenade
5.91Flashes / 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. 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 0.4637 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0117%30 Oct →
mirage12–12-0.0320%30 Oct →
vertigo13–60.0527%30 Oct →
dust27–10.0222%30 Oct →
cache4–13-0.073%30 Oct →
ancient9–13-0.0321%30 Oct →
nuke12–12-0.0118%25 Oct →
mirage13–60.0227%25 Oct →
mirage6–13-0.0130%25 Oct →
anubis8–13-0.0520%24 Oct →
dust212–12-0.0113%24 Oct →
ancient13–6-0.0117%24 Oct →
italy5–130.0922%24 Oct →
mirage2–13-0.0419%24 Oct →
inferno13–5-0.0224%24 Oct →
nuke13–90.0121%24 Oct →
office13–3-0.0727%23 Oct →
mirage13–3-0.036%23 Oct →
dust213–9-0.0221%23 Oct →
nuke5–13-0.0137%23 Oct →
nuke13–11-0.0117%23 Oct →
anubis13–100.1129%23 Oct →
anubis13–70.0515%23 Oct →
nuke5–130.0228%19 Oct →
overpass9–130.1026%19 Oct →
nuke9–130.0423%19 Oct →
dust24–130.0239%19 Oct →
cache13–30.0028%18 Oct →
dust213–70.0719%18 Oct →
inferno13–50.0023%18 Oct →
mirage13–2-0.0229%18 Oct →
mirage13–7-0.0022%18 Oct →
anubis9–13-0.0219%17 Oct →
dust210–130.0021%17 Oct →
inferno13–9-0.0118%17 Oct →
cache13–11-0.0516%16 Oct →
mirage6–13-0.0320%16 Oct →
inferno13–110.0015%16 Oct →
mirage9–130.0226%15 Oct →
inferno9–13-0.0518%15 Oct →
vertigo8–13-0.0528%15 Oct →
nuke13–9-0.0326%14 Oct →
inferno13–8-0.0319%14 Oct →
mirage3–13-0.0214%14 Oct →
dust213–11-0.0418%14 Oct →
cache3–13-0.0118%14 Oct →
mirage13–100.0023%14 Oct →
dust212–12-0.0230%14 Oct →
mirage13–8-0.0821%13 Oct →
mirage13–3-0.0420%13 Oct →
cache13–100.0021%13 Oct →
train1–13-0.0427%13 Oct →
nuke11–13-0.0231%13 Oct →
nuke12–120.0219%13 Oct →
dust213–5-0.0322%13 Oct →
cache2–130.0117%10 Oct →
shelter10–00.0112%10 Oct →
mirage13–110.0116%10 Oct →
anubis6–130.0522%10 Oct →
mirage10–13-0.0322%10 Oct →
rush_0015–1-0.0125%10 Oct →
rush_0012–6-0.1533%10 Oct →
rush_0016–20.1225%10 Oct →
rush_0014–00.0325%10 Oct →
train3–13-0.065%9 Oct →
nuke10–130.0223%9 Oct →
anubis13–10.1121%9 Oct →
mirage5–13-0.0516%9 Oct →
anubis7–130.0025%9 Oct →
dust213–100.0325%9 Oct →
nuke4–13-0.0924%8 Oct →
nuke13–80.028%8 Oct →
mirage12–12-0.0123%7 Oct →
rush_0018–7-0.0429%7 Oct →
nuke12–12-0.0321%7 Oct →
mirage8–13-0.0126%7 Oct →
dust22–13-0.0118%7 Oct →
inferno13–70.0024%7 Oct →
ancient6–13-0.0021%3 Oct →
mirage13–80.0118%3 Oct →
dust212–12-0.019%30 Sept →
mirage13–60.0016%29 Sept →
nuke13–40.0120%29 Sept →
dust212–12-0.0216%28 Sept →
anubis13–6-0.0022%28 Sept →
inferno12–120.0016%28 Sept →
ancient13–10-0.0220%27 Sept →
nuke6–13-0.0514%27 Sept →
dust213–10-0.0424%27 Sept →
vertigo13–100.0316%27 Sept →
inferno8–130.0329%27 Sept →
anubis3–13-0.0710%26 Sept →
inferno5–13-0.0023%26 Sept →
anubis13–9-0.0320%26 Sept →
mirage7–0-0.0216%26 Sept →
nuke12–12-0.029%26 Sept →
dust25–13-0.0411%26 Sept →
dust28–13-0.0428%24 Sept →
dust23–13-0.0223%15 Sept →
nuke13–10-0.0526%15 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 →

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