gruel

gruel — CS2 Stats

76561198197578258[U:1:237312530]Steam profile ↗✓ No bans

865Tracked matches56%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 865
0.0ppWin rate · 55.6% → 55.6%

Rating over time

Premier CS Rating: 16,874 +331 21 Jun – 25 Jun · 3 days played
16,43016,874peak 16,87421 Jun25 Jun
16,874Peak Premier in tracked matches
59Days played since 2024-12-29

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

Share this profile

CSDB.GGgruelFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning66
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLLWLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −2.8pp headshot accuracy · −3ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 581ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 559ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 561ms

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 (+2.3 against its own average).

Aim6.3
Utility6.2
Positioning6.6
Opening Duels4.3
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

donk

Plays most like donk 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 560ms 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

Aim6.3
Positioning6.6
Utility6.2
Mechanics4.7
Opening Duels4.3
Win Impact6.9

Composite 6.0/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time562ms−18ms
first ⅓ avg 580ms → last ⅓ avg 562ms
Headshot accuracy12.6%−4.0%
first ⅓ avg 16.6% → last ⅓ avg 12.6%

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

0.23Best match rating · 13–5 · cache, 30 Apr →
100%Best headshot accuracy · 0–6 · dust2, 7 Apr →
328msFastest reaction time · 0–6 · dust2, 7 Apr →
13–2Biggest win · inferno, 12 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 57% over 7dust2Weakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%0.02
mirageB209–1145%0.03
cacheB2010–1050%0.04
dust2C125–742%-0.00
nukeA74–357%0.03
overpass—41–325%0.01
ancient—43–175%0.05
vertigo—20–20%0.01
grail—21–150%-0.02
anubis—11–0100%0.08
sanctum—10–10%-0.14
train—11–0100%0.06
office—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

240Matches
54%Win rate
1.38Avg K/D
68.5ADR
29%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1421%1.0314.2
Inferno1346%1.1013.9
Vertigo757%1.2313.4
Ancient425%0.8414.8
Nuke450%1.3713.8
Overpass333%0.8214.7
Anubis250%0.7811.0

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.

12.9%Headshot accuracy
35.3%Accuracy (enemy spotted)
39.8%Spray accuracy
71.2%Counter-strafing
9.5°Preaim
560msReaction time
53.7%T opening success
40.7%CT opening success
0.61Enemies flashed / flash
9.9%Flash assists
12.90HE damage / grenade
10.72Flashes / 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 12.9113% — 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.

42% win rate across 12 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
dust211–13-0.0210%18 Sept →
dust21–5-0.060%18 Sept →
mirage10–130.0810%18 Sept →
mirage13–40.0411%22 Aug →
cache3–13-0.073%22 Aug →
inferno13–30.049%19 Aug →
dust25–13-0.0017%14 Aug →
cache13–9-0.049%14 Aug →
inferno13–20.0523%12 Aug →
cache13–9-0.0117%7 Aug →
mirage5–130.0417%6 Aug →
anubis13–80.0813%6 Aug →
dust213–30.0612%5 Aug →
inferno15–15-0.0324%30 Jul →
mirage6–130.047%29 Jul →
cache10–130.0410%29 Jul →
inferno13–90.0519%21 Jul →
cache16–140.0612%18 Jul →
cache11–130.0114%9 Jul →
mirage9–130.048%9 Jul →
inferno10–13-0.0211%3 Jul →
inferno9–20.2011%3 Jul →
sanctum1–9-0.1422%3 Jul →
cache13–70.0311%3 Jul →
cache13–40.099%9 Jun →
cache6–30.0215%9 Jun →
mirage13–70.0510%5 Jun →
cache12–120.009%5 Jun →
cache13–70.0719%4 Jun →
cache13–30.0912%4 Jun →
cache12–120.0917%4 Jun →
cache10–130.0115%3 Jun →
dust210–130.029%8 May →
cache11–130.0613%6 May →
cache4–13-0.035%6 May →
cache13–50.2311%30 Apr →
cache13–40.1412%30 Apr →
cache12–120.1110%29 Apr →
cache5–13-0.0618%29 Apr →
inferno11–130.0410%24 Apr →
overpass13–90.0516%17 Apr →
inferno15–15-0.008%9 Dec →
mirage13–10-0.0115%9 Dec →
inferno13–50.0318%8 Dec →
overpass7–13-0.0518%8 Dec →
dust210–130.0013%8 Dec →
nuke13–90.0111%28 Nov →
dust213–70.018%26 Nov →
dust213–70.0112%26 Nov →
nuke8–13-0.025%25 Nov →
ancient13–50.1114%25 Nov →
overpass8–130.052%20 Nov →
inferno10–130.0614%20 Nov →
mirage6–130.048%19 Nov →
mirage16–140.0313%17 Nov →
ancient13–70.0510%17 Nov →
mirage10–130.0213%15 Nov →
dust24–13-0.1020%15 Nov →
vertigo7–130.0413%16 Oct →
mirage9–130.0316%10 Oct →
overpass5–130.0013%10 Oct →
inferno9–3-0.0316%10 Oct →
inferno13–11-0.0018%9 Oct →
inferno13–100.0210%17 Sept →
mirage13–60.038%25 Jun →
mirage6–13-0.097%22 Jun →
train13–40.0613%21 Jun →
inferno11–130.0814%24 May →
mirage7–13-0.0313%16 May →
inferno10–130.0513%10 May →
inferno13–10-0.0210%10 May →
mirage13–80.0317%10 May →
dust213–50.0219%10 May →
grail8–13-0.0116%10 May →
grail13–11-0.0316%10 May →
dust213–50.1319%7 May →
inferno11–130.0211%7 May →
ancient7–130.0114%30 Apr →
nuke13–11-0.0211%21 Apr →
mirage8–13-0.0414%20 Apr →
vertigo12–12-0.0112%19 Apr →
office13–40.0413%19 Apr →
inferno11–130.0220%7 Apr →
dust20–6-0.07100%7 Apr →
mirage5–5-0.0124%7 Apr →
inferno14–160.0611%7 Apr →
mirage2–00.1613%7 Apr →
inferno8–130.0315%6 Apr →
mirage15–150.0316%5 Apr →
inferno13–20.0614%4 Apr →
mirage13–80.0314%3 Apr →
inferno11–13-0.058%2 Apr →
nuke0–70.0218%2 Apr →
nuke13–50.0413%17 Mar →
inferno9–13-0.053%16 Mar →
nuke4–130.0115%15 Mar →
ancient13–100.029%15 Mar →
inferno3–13-0.0120%31 Dec →
nuke9–40.166%29 Dec →
inferno9–50.0319%29 Dec →

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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