Grand Idiot

Grand Idiot — CS2 Stats

DE76561198009031170[U:1:48765442]Steam profile ↗✓ No bans

3,390Tracked matches59%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating19,633Top 50% of 202,706 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#87293 of 250004 tracked
FaceitLevel 8 · 2,054 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (3 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: 19,633 +1,115 5 May – 3 Oct · 27 days played
12,71619,633peak 19,6335 May3 Oct
19,633Peak Premier in tracked matches
2,054Highest Faceit ELO seen on CSDB
48Days played since 2026-05-05

Faceit ELO

  • At peak — 2,054
  • Next: 2,500 ELO at 2,500 — 446 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier CS Rating

  • At peak — 19,633
  • +3,006 over 30 days · improving
  • +2,360 over 90 days
  • Next: Pink band at 20,000 — 367 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGGrand IdiotFACEITLevel 8 · 2,054 ELOSTANDINGTop 31.2% of rankedPREMIER19,633 · Purple bandPEAK ELO2,054csdb.gg/stats

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Performance scores

Aim77
Positioning53
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLLWWWWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +4.2pp headshot accuracy · +96ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 691ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 583ms

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).

Aim7.7
Utility6.7
Positioning5.3
Opening Duels1.8
Clutch4.0

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 576ms 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

Aim7.7
Positioning5.3
Utility6.7
Mechanics6.8
Opening Duels3.1
Win Impact7.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time579ms+7ms
first ⅓ avg 572ms → last ⅓ avg 579ms
Headshot accuracy13.7%−1.9%
first ⅓ avg 15.6% → last ⅓ avg 13.7%

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

0.16Best match rating · 13–9 · anubis, 7 May →
35%Best headshot accuracy · 5–13 · anubis, 26 Jul →
391msFastest reaction time · 11–13 · inferno, 26 Jun →
13–1Biggest win · inferno, 14 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 86% over 7dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%-0.00
ancientS2013–765%0.01
nukeC198–1142%-0.00
dust2D144–1029%-0.01
anubisA106–460%0.01
cacheS76–186%-0.01
mirage—42–250%0.03
overpass—20–20%-0.03
train—22–0100%-0.01
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,577Matches
50%Win rate
1.04Avg K/D
76.5ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno22755%1.0516.1
Dust220852%0.9715.7
Ancient14453%0.9614.7
Anubis14345%0.9815.1
Nuke8747%0.9715.1
Mirage7442%0.8713.0
Overpass3057%1.1216.4
Train2241%1.1017.3

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.

14.1%Headshot accuracy
40.0%Accuracy (enemy spotted)
44.7%Spray accuracy
80.4%Counter-strafing
10.5°Preaim
576msReaction time
43.2%T opening success
41.8%CT opening success
0.61Enemies flashed / flash
5.4%Flash assists
9.57HE damage / grenade
11.93Flashes / 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 14.056% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 14 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
nuke7–13-0.0511%5 Oct →
dust24–13-0.1127%5 Oct →
overpass1–3-0.060%4 Oct →
train13–6-0.0116%4 Oct →
ancient13–50.0113%3 Oct →
nuke13–60.0818%2 Oct →
inferno13–110.0424%2 Oct →
cache13–8-0.0822%1 Oct →
ancient13–10-0.0510%25 Sept →
ancient9–13-0.0016%18 Sept →
inferno13–100.0317%18 Sept →
cache10–13-0.0316%17 Sept →
inferno7–13-0.086%17 Sept →
ancient13–7-0.005%17 Sept →
train13–10-0.0111%16 Sept →
inferno13–10.0113%14 Sept →
nuke16–130.008%14 Sept →
inferno13–80.0510%14 Sept →
nuke5–13-0.0718%14 Sept →
ancient13–40.1013%12 Sept →
nuke16–130.0320%12 Sept →
dust25–13-0.0019%12 Sept →
vertigo5–13-0.087%12 Sept →
dust213–50.0315%11 Sept →
inferno11–13-0.0314%11 Sept →
inferno8–13-0.0412%10 Sept →
anubis15–15-0.0112%10 Sept →
inferno13–60.1112%3 Sept →
inferno11–13-0.0216%30 Aug →
inferno13–7-0.0010%29 Aug →
nuke13–1-0.1013%29 Aug →
inferno15–150.0819%23 Aug →
mirage9–130.049%23 Aug →
ancient16–14-0.024%20 Aug →
nuke10–13-0.0115%19 Aug →
ancient13–10.1311%13 Aug →
ancient13–70.0414%13 Aug →
dust213–10.0611%13 Aug →
inferno13–100.0516%13 Aug →
anubis6–130.0212%11 Aug →
dust213–110.0115%7 Aug →
inferno13–10-0.0320%4 Aug →
ancient9–13-0.045%4 Aug →
inferno13–80.0014%31 Jul →
anubis13–11-0.016%30 Jul →
anubis13–9-0.0312%30 Jul →
cache13–60.0421%30 Jul →
dust24–130.0514%30 Jul →
nuke13–90.0116%29 Jul →
dust213–8-0.016%29 Jul →
anubis13–60.0729%29 Jul →
anubis5–13-0.0735%26 Jul →
anubis13–5-0.0314%25 Jul →
inferno8–13-0.036%23 Jul →
nuke13–50.0125%23 Jul →
ancient13–80.1117%22 Jul →
ancient11–13-0.0514%21 Jul →
anubis13–110.036%21 Jul →
dust210–130.0121%21 Jul →
inferno13–10-0.0417%20 Jul →
nuke3–13-0.0225%20 Jul →
ancient9–130.0013%20 Jul →
ancient2–13-0.0524%20 Jul →
cache13–40.0519%18 Jul →
dust23–13-0.088%18 Jul →
ancient13–5-0.044%18 Jul →
nuke9–130.058%13 Jul →
ancient13–80.0717%12 Jul →
mirage8–130.059%11 Jul →
anubis9–13-0.0518%11 Jul →
nuke11–13-0.069%10 Jul →
ancient13–110.0317%10 Jul →
inferno13–8-0.026%10 Jul →
dust212–160.0512%9 Jul →
dust26–13-0.0318%9 Jul →
ancient9–13-0.0212%9 Jul →
inferno6–13-0.039%4 Jul →
mirage13–110.0417%30 Jun →
cache13–5-0.058%30 Jun →
inferno13–8-0.0518%27 Jun →
inferno11–13-0.0526%26 Jun →
cache13–8-0.0417%26 Jun →
nuke11–13-0.0415%18 Jun →
dust215–150.0215%17 Jun →
cache13–110.0724%8 May →
ancient3–13-0.0215%8 May →
nuke13–60.1213%8 May →
dust214–16-0.0422%7 May →
ancient13–60.0721%7 May →
mirage13–6-0.0119%7 May →
nuke10–13-0.0421%7 May →
anubis13–90.1610%7 May →
nuke11–130.0219%7 May →
inferno8–130.0224%6 May →
nuke13–40.0313%6 May →
nuke5–13-0.0221%6 May →
dust29–13-0.0714%6 May →
ancient13–9-0.057%5 May →
overpass8–130.0016%5 May →
nuke15–15-0.0015%5 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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