Gamestar05

Gamestar05 — CS2 Stats

DE76561198088461372[U:1:128195644]Steam profile ↗✓ No bans

361Tracked matches41%Win rate2026Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating13,719Blue band · top ~35.2% of ranked players (population est.)
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: 13,719 +1,190 31 Jul – 6 Oct · 24 days played
12,52915,301peak 15,30131 Jul6 Oct
15,589Peak Premier in tracked matches
44Days played since 2026-07-09

Premier CS Rating

  • 1,582 below peak (15,301)
  • -555 over 30 days · declining
  • Next: Purple band at 15,000 — 1,281 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGGamestar05PREMIER13,719 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLWWLLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +3.4pp headshot accuracy · −46ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 528ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

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 (+2.6 against its own average).

Aim4.9
Utility3.6
Positioning4.6
Opening Duels0.0
Clutch0.0

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

b1t

Plays most like b1t 80% 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. 594ms 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

Aim4.9
Positioning4.6
Utility3.6
Mechanics5.6
Opening Duels0.0
Win Impact1.9

Composite 3.8/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time591ms−71ms
first ⅓ avg 662ms → last ⅓ avg 591ms
Headshot accuracy13.5%−5.8%
first ⅓ avg 19.4% → last ⅓ avg 13.5%

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

0.11Best match rating · 13–4 · mirage, 9 Sept →
38%Best headshot accuracy · 3–13 · dust2, 9 Aug →
391msFastest reaction time · 13–1 · mirage, 26 Sept →
13–1Biggest win · mirage, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 61% over 23anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2314–961%0.00
infernoC219–1243%-0.02
nukeC156–940%-0.01
dust2B147–750%-0.02
ancientA106–460%-0.00
anubisC83–538%-0.02
cache—42–250%-0.02
vertigo—32–167%0.03
overpass—11–0100%0.03
train—10–10%-0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
50%Win rate
0.82Avg K/D
66.2ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.0010.0
Anubis10%0.397.0
Inferno10%0.8917.0

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.

13.2%Headshot accuracy
31.6%Accuracy (enemy spotted)
28.7%Spray accuracy
75.1%Counter-strafing
9.4°Preaim
594msReaction time
26.3%T opening success
24.4%CT opening success
0.46Enemies flashed / flash
0.3%Flash assists
5.47HE damage / grenade
6.10Flashes / 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 13.248% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4612 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 26.3245% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–13-0.1025%6 Oct →
dust213–10-0.0420%5 Oct →
inferno16–140.0426%2 Oct →
inferno4–13-0.0412%30 Sept →
cache1–13-0.0415%29 Sept →
mirage10–130.027%29 Sept →
ancient13–11-0.0211%28 Sept →
dust214–16-0.1011%27 Sept →
anubis3–13-0.0715%27 Sept →
ancient10–13-0.0212%27 Sept →
cache13–30.0213%27 Sept →
inferno13–11-0.0213%27 Sept →
mirage13–1-0.054%26 Sept →
nuke4–13-0.085%26 Sept →
vertigo13–30.0428%26 Sept →
nuke8–13-0.065%25 Sept →
mirage7–13-0.078%24 Sept →
anubis13–4-0.0110%21 Sept →
inferno5–13-0.0922%20 Sept →
nuke13–110.0012%20 Sept →
mirage12–120.0416%16 Sept →
mirage13–40.119%9 Sept →
overpass13–110.037%8 Sept →
inferno12–120.1021%7 Sept →
mirage1–13-0.049%2 Sept →
mirage14–16-0.0011%1 Sept →
mirage15–15-0.0511%31 Aug →
inferno2–13-0.0816%31 Aug →
nuke10–130.0312%30 Aug →
ancient6–13-0.039%30 Aug →
mirage13–10-0.077%30 Aug →
ancient12–12-0.0327%30 Aug →
nuke11–130.0121%30 Aug →
mirage13–10-0.0515%30 Aug →
anubis10–13-0.1315%29 Aug →
inferno13–11-0.0415%29 Aug →
mirage13–40.0919%28 Aug →
nuke13–9-0.006%28 Aug →
nuke13–7-0.0322%26 Aug →
nuke7–130.0012%24 Aug →
nuke14–16-0.0316%23 Aug →
dust213–4-0.0510%23 Aug →
dust213–50.0916%23 Aug →
inferno13–8-0.0619%22 Aug →
ancient13–8-0.0210%22 Aug →
anubis11–130.0519%22 Aug →
dust28–13-0.0211%22 Aug →
mirage12–120.0313%22 Aug →
dust211–13-0.0410%19 Aug →
dust213–60.0217%19 Aug →
inferno13–9-0.0215%19 Aug →
dust24–13-0.0615%18 Aug →
dust213–2-0.0316%18 Aug →
mirage13–10.0816%18 Aug →
nuke5–13-0.0729%17 Aug →
nuke13–100.0024%17 Aug →
ancient13–6-0.0112%16 Aug →
inferno13–9-0.0123%16 Aug →
mirage13–50.0331%16 Aug →
mirage13–2-0.0328%12 Aug →
mirage13–40.069%12 Aug →
train0–13-0.1311%12 Aug →
anubis13–10-0.0415%10 Aug →
dust213–7-0.017%10 Aug →
cache13–70.0422%10 Aug →
nuke10–130.0814%9 Aug →
inferno11–130.0120%9 Aug →
dust23–13-0.0538%9 Aug →
ancient13–8-0.0211%9 Aug →
inferno4–13-0.0417%9 Aug →
mirage10–130.0617%8 Aug →
nuke13–20.0233%8 Aug →
mirage13–11-0.0211%31 Jul →
dust216–12-0.0323%30 Jul →
inferno13–30.0335%30 Jul →
ancient10–13-0.0415%30 Jul →
inferno4–9-0.0820%29 Jul →
vertigo10–130.0323%29 Jul →
vertigo13–50.019%29 Jul →
dust27–13-0.0114%28 Jul →
ancient13–100.1023%28 Jul →
inferno15–15-0.0314%26 Jul →
dust210–13-0.0119%26 Jul →
mirage13–80.0318%25 Jul →
inferno3–8-0.0014%25 Jul →
mirage13–50.0113%25 Jul →
nuke10–13-0.0116%25 Jul →
mirage13–80.0517%25 Jul →
anubis8–130.0318%25 Jul →
inferno13–70.0131%24 Jul →
anubis2–13-0.0317%24 Jul →
anubis13–10.0425%24 Jul →
mirage13–10-0.0715%23 Jul →
inferno10–13-0.0630%23 Jul →
inferno9–13-0.0424%23 Jul →
nuke13–10-0.0017%10 Jul →
inferno3–13-0.0617%9 Jul →
inferno13–60.0120%9 Jul →
mirage8–13-0.0511%9 Jul →
ancient13–60.0515%9 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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