[T50sec] Godzilla [DE]

[T50sec] Godzilla [DE] — CS2 Stats

76561198121543745[U:1:161278017]Steam profile ↗✓ No bans

957Tracked matches27%Win rate2021Tracked since
CSDB Rating2.7 LearningPositional Player
Premier CS Rating3,475Grey band · top ~85.3% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 3,475 -1,801 26 Jul – 1 Oct · 29 days played
2,8455,276peak 5,27626 Jul1 Oct
5,388Peak Premier in tracked matches
30Days played since 2026-07-26

Premier CS Rating

  • 1,801 below peak (5,276)
  • +92 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,525 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.

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CSDB.GG[T50sec] Godzilla [DE]PREMIER3,475 · Grey bandcsdb.gg/stats

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Performance scores

Aim25
Positioning58
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY34–65–1Last 10034%Win rateWLWLLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +5.5pp headshot accuracy · −65ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 625ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 613ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

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 (+1.4 against its own average).

Aim2.5
Utility4.5
Positioning5.8
Opening Duels2.9

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 57% 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. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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

Aim2.5
Positioning5.8
Utility4.5
Mechanics0.5
Opening Duels3.0
Win Impact0.0

Composite 2.7/10 (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 rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time655ms−10ms
first ⅓ avg 665ms → last ⅓ avg 655ms
Headshot accuracy15.0%+0.9%
first ⅓ avg 14.1% → last ⅓ avg 15.0%

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

0.15Best match rating · 13–5 · mirage, 30 Jul →
35%Best headshot accuracy · 5–13 · inferno, 18 Sept →
430msFastest reaction time · 1–8 · cache, 8 Sept →
13–0Biggest win · mirage, 7 Aug →

Across the last 100 tracked matches.

Highlights

2Longest win streak
4–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 64% over 22ancientWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD328–2425%0.02
nukeA2214–864%0.02
ancientD111–109%0.01
dust2D113–827%0.02
anubisD103–730%0.02
mirageD62–433%0.03
cacheA53–260%0.02
vertigo—30–30%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.6%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.2%Spray accuracy
52.1%Counter-strafing
10.3°Preaim
649msReaction time
43.3%T opening success
40.4%CT opening success
0.38Enemies flashed / flash
1.6%Flash assists
5.67HE damage / grenade
9.28Flashes / 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 0.3764 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0815%1 Oct →
inferno7–13-0.0215%30 Sept →
cache13–70.059%30 Sept →
ancient9–13-0.0317%28 Sept →
dust210–13-0.0015%28 Sept →
mirage8–130.0513%28 Sept →
inferno1–13-0.0617%27 Sept →
ancient6–13-0.0628%27 Sept →
cache13–30.0827%26 Sept →
nuke16–13-0.0916%26 Sept →
inferno7–130.048%26 Sept →
inferno3–13-0.0520%25 Sept →
nuke10–13-0.0516%25 Sept →
inferno5–13-0.059%25 Sept →
nuke13–110.0417%25 Sept →
dust27–13-0.0215%25 Sept →
cache1–13-0.110%24 Sept →
inferno14–160.0312%24 Sept →
nuke13–100.019%24 Sept →
inferno11–130.0612%24 Sept →
nuke5–13-0.063%23 Sept →
mirage3–130.0016%23 Sept →
inferno7–130.0118%23 Sept →
nuke13–7-0.0517%23 Sept →
nuke5–13-0.0215%21 Sept →
anubis4–130.0314%18 Sept →
ancient9–13-0.0318%18 Sept →
nuke13–100.0722%18 Sept →
inferno5–13-0.1135%18 Sept →
cache1–8-0.0515%8 Sept →
nuke13–5-0.0117%8 Sept →
cache13–100.1117%8 Sept →
nuke6–13-0.040%6 Sept →
inferno13–100.0217%6 Sept →
inferno10–130.0519%6 Sept →
inferno8–130.0115%6 Sept →
nuke13–60.1114%6 Sept →
inferno9–130.0817%5 Sept →
inferno11–90.0416%5 Sept →
anubis5–130.038%5 Sept →
ancient13–40.0721%5 Sept →
nuke13–70.1015%5 Sept →
inferno11–130.0512%4 Sept →
nuke13–20.0524%2 Sept →
inferno16–140.0419%2 Sept →
inferno5–13-0.026%1 Sept →
nuke13–20.1315%1 Sept →
inferno9–13-0.0015%31 Aug →
inferno11–13-0.0015%28 Aug →
dust26–130.0114%28 Aug →
ancient1–130.0117%28 Aug →
nuke1–13-0.0313%27 Aug →
nuke13–9-0.0010%25 Aug →
inferno9–130.0113%25 Aug →
nuke13–100.1114%25 Aug →
anubis5–13-0.0516%25 Aug →
anubis4–130.0210%25 Aug →
nuke11–13-0.0615%24 Aug →
dust27–130.0322%24 Aug →
anubis1–13-0.0321%24 Aug →
inferno13–40.0610%24 Aug →
anubis7–130.0216%22 Aug →
vertigo5–13-0.0218%22 Aug →
anubis13–6-0.066%22 Aug →
inferno5–13-0.0311%22 Aug →
dust23–130.0216%22 Aug →
mirage13–0-0.0010%7 Aug →
ancient2–130.017%6 Aug →
ancient8–13-0.016%3 Aug →
dust213–100.0120%3 Aug →
dust213–3-0.0120%3 Aug →
dust25–130.0313%3 Aug →
dust213–50.0922%3 Aug →
inferno13–80.0712%2 Aug →
inferno11–130.0912%2 Aug →
ancient15–150.0511%2 Aug →
mirage13–160.009%2 Aug →
dust24–130.0717%2 Aug →
ancient6–130.0514%2 Aug →
inferno13–50.0514%31 Jul →
anubis7–130.0718%31 Jul →
mirage9–13-0.0513%31 Jul →
dust210–13-0.0217%31 Jul →
mirage13–50.1521%30 Jul →
inferno2–13-0.053%30 Jul →
ancient3–130.0424%30 Jul →
inferno2–13-0.0114%30 Jul →
nuke2–130.0412%30 Jul →
inferno7–130.0511%30 Jul →
ancient2–130.0620%30 Jul →
inferno13–30.0712%30 Jul →
vertigo11–130.0111%29 Jul →
vertigo9–13-0.1111%29 Jul →
anubis13–80.0611%26 Jul →
inferno11–130.0613%26 Jul →
anubis13–40.1115%26 Jul →
nuke13–11-0.0018%26 Jul →
inferno9–13-0.0315%26 Jul →
inferno13–50.0610%26 Jul →
nuke6–130.0720%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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