Sgt. Thundercock

Sgt. Thundercock — CS2 Stats

76561198016364912[U:1:56099184]Steam profile ↗✓ No bans

1,976Tracked matches50%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating11,626Blue band · top ~46.3% of ranked players (population est.)
FaceitLevel 4 · 967 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−474Premier CS Rating · 12,100 → 11,626

Rating over time

Premier CS Rating: 11,626 -3,147 4 Feb – 12 Oct · 28 days played
8,13815,108peak 15,1084 Feb12 Oct
15,356Peak Premier in tracked matches
997Highest Faceit ELO seen on CSDB
38Days played since 2026-02-04

Faceit ELO

  • 30 below peak (997)
  • Next: Level 5 at 1,051 — 84 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-19
  • Level 3 first seen 2026-09-19

Premier CS Rating

  • 3,482 below peak (15,108)
  • Next: Purple band at 15,000 — 3,374 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Light Blue band first seen 2026-09-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGSgt. ThundercockFACEITLevel 4 · 967 ELOSTANDINGTop 81.0% of rankedPREMIER11,626 · Blue bandPEAK ELO997csdb.gg/stats

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Performance scores

Aim68
Positioning41
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWLWWWLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +3.1pp headshot accuracy · +77ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 647ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 609ms

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 (+2.3 against its own average).

Aim6.8
Utility5.4
Positioning4.1
Opening Duels0.2
Clutch2.6

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 614ms 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

Aim6.8
Positioning4.1
Utility5.4
Mechanics7.6
Opening Duels1.3
Win Impact5.0

Composite 5.2/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time619ms−75ms
first ⅓ avg 694ms → last ⅓ avg 619ms
Headshot accuracy13.1%+2.4%
first ⅓ avg 10.7% → last ⅓ avg 13.1%

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

0.14Best match rating · 13–4 · inferno, 13 Mar →
38%Best headshot accuracy · 5–1 · mirage, 13 Mar →
469msFastest reaction time · 10–13 · nuke, 3 Sept →
13–2Biggest win · inferno, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 68% over 22dust2Weakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%-0.02
infernoS2215–768%-0.01
mirageA2212–1055%-0.02
dust2D90–90%-0.07
anubisC83–538%-0.04
ancientD82–625%-0.05
cache—31–233%-0.02
vertigo—22–0100%0.00
overpass—20–20%0.02
rush_001—11–0100%0.01
cache_b—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

788Matches
48%Win rate
0.92Avg K/D
56.5ADR
32%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1547%0.7010.8
Inferno1250%0.7513.1
Mirage1127%0.6711.9
Ancient838%0.7211.6
Vertigo667%0.7813.2
Overpass560%0.679.8
Anubis333%0.619.3
Train250%0.577.5

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.

12.7%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.1%Spray accuracy
84.3%Counter-strafing
9.5°Preaim
614msReaction time
37.0%T opening success
33.5%CT opening success
0.69Enemies flashed / flash
2.4%Flash assists
8.88HE damage / grenade
8.05Flashes / 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 12.6765% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.0161% — below the 40% mark we flag

Spend your practice time on Dust 2

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 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0715%12 Oct →
cache13–9-0.0515%12 Oct →
anubis9–13-0.0411%11 Oct →
nuke16–14-0.0113%11 Oct →
inferno13–2-0.023%11 Oct →
inferno13–110.0116%11 Oct →
nuke5–130.0224%10 Oct →
dust21–13-0.0324%10 Oct →
cache11–13-0.0014%9 Oct →
mirage4–13-0.1713%9 Oct →
anubis13–5-0.0411%7 Oct →
inferno13–70.019%7 Oct →
anubis13–7-0.0213%7 Oct →
nuke13–10-0.085%7 Oct →
mirage4–13-0.036%5 Oct →
mirage5–13-0.069%5 Oct →
inferno16–13-0.0310%5 Oct →
dust212–16-0.0118%5 Oct →
nuke13–50.0226%5 Oct →
anubis13–70.0113%5 Oct →
ancient8–13-0.1010%2 Oct →
mirage13–8-0.0521%2 Oct →
mirage13–70.014%2 Oct →
mirage13–10-0.0213%2 Oct →
rush_0018–60.0121%2 Oct →
inferno13–90.027%1 Oct →
mirage5–13-0.0514%1 Oct →
nuke2–13-0.1313%1 Oct →
anubis5–13-0.0514%1 Oct →
ancient8–13-0.049%1 Oct →
nuke10–13-0.039%29 Sept →
mirage13–11-0.0410%29 Sept →
dust211–13-0.0618%29 Sept →
inferno10–130.013%28 Sept →
ancient6–13-0.1113%23 Sept →
nuke13–80.087%22 Sept →
inferno13–4-0.0318%22 Sept →
nuke13–30.0610%21 Sept →
inferno8–13-0.048%21 Sept →
nuke5–13-0.077%8 Sept →
cache13–16-0.0119%8 Sept →
nuke10–130.0517%3 Sept →
dust26–13-0.120%27 Aug →
dust28–13-0.066%15 Apr →
nuke13–6-0.0316%10 Apr →
inferno13–80.0022%10 Apr →
nuke7–130.0223%10 Apr →
dust28–13-0.1011%10 Apr →
inferno11–13-0.0515%5 Apr →
inferno13–2-0.064%18 Mar →
mirage13–40.016%14 Mar →
inferno13–40.1417%13 Mar →
mirage13–90.0114%13 Mar →
mirage5–10.0538%13 Mar →
nuke6–13-0.0710%13 Mar →
vertigo13–90.0212%13 Mar →
ancient3–13-0.1325%12 Mar →
dust210–13-0.0918%11 Mar →
nuke11–13-0.0220%11 Mar →
mirage4–13-0.0513%11 Mar →
overpass11–13-0.0119%5 Mar →
nuke13–90.0418%1 Mar →
vertigo13–8-0.022%27 Feb →
mirage13–80.0113%27 Feb →
inferno8–130.0115%25 Feb →
ancient10–130.0424%25 Feb →
ancient3–13-0.0720%22 Feb →
inferno13–9-0.1010%22 Feb →
nuke15–15-0.092%18 Feb →
mirage13–70.0412%18 Feb →
mirage13–80.0217%18 Feb →
inferno3–13-0.0515%17 Feb →
mirage12–160.007%17 Feb →
inferno11–13-0.0111%17 Feb →
anubis11–13-0.029%16 Feb →
inferno16–130.0320%16 Feb →
nuke13–8-0.028%16 Feb →
overpass11–130.048%16 Feb →
ancient13–50.029%16 Feb →
mirage3–13-0.048%13 Feb →
inferno13–6-0.0312%13 Feb →
anubis10–13-0.0710%13 Feb →
inferno13–6-0.0610%13 Feb →
nuke9–13-0.0819%10 Feb →
mirage13–6-0.049%10 Feb →
inferno13–11-0.037%10 Feb →
nuke4–13-0.029%10 Feb →
mirage13–30.1110%10 Feb →
nuke13–50.079%10 Feb →
nuke10–13-0.039%8 Feb →
inferno11–130.0019%8 Feb →
mirage8–13-0.055%6 Feb →
dust21–13-0.1217%6 Feb →
nuke13–6-0.050%6 Feb →
mirage15–15-0.0519%6 Feb →
ancient13–9-0.038%5 Feb →
inferno13–20.116%5 Feb →
cache_b13–8-0.0411%4 Feb →
anubis11–13-0.0717%4 Feb →
mirage14–16-0.039%4 Feb →

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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