Grinch

Grinch — CS2 Stats

DE76561198044159085[U:1:83893357]Steam profile ↗✓ No bans

1,004Tracked matches55%Win rate2021Tracked since
1,601Hours in CS
CSDB Rating6.9 SolidSupport
Premier CS Rating21,689Top 50% of 204,150 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#58021 of 251265 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,689 → 21,689
+6Tracked matches · now 1,004
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 21,689 +0 13 Jun – 1 Sept · 2 days played
21,68921,689peak 21,68913 Jun1 Sept
21,689Peak Premier in tracked matches
52Days played since 2025-04-02

Premier CS Rating

  • At peak — 21,689
  • 0 over 90 days
  • Next: Red band at 25,000 — 3,311 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate51.1%46.8%48.2%above
Shot accuracy19.5%13.0%13.3%above
Kill/death ratio0.991.061.070.08 short
Match win rate36.7%46.3%46.9%10.2% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGrinchFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,689 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning55
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLLWLWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · +11ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 666ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 613ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

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 (+1.1 against its own average).

Aim8.3
Utility6.2
Positioning5.5
Opening Duels4.5
Clutch4.2

Effective flashes

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

device

Plays most like device 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim8.3
Positioning5.5
Utility6.2
Mechanics8.1
Opening Duels3.2
Win Impact6.7

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time613ms−19ms
first ⅓ avg 632ms → last ⅓ avg 613ms
Headshot accuracy19.6%−0.5%
first ⅓ avg 20.1% → last ⅓ avg 19.6%

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

0.11Best match rating · 6–13 · ancient, 4 Jun →
40%Best headshot accuracy · 13–2 · mirage, 12 Dec →
406msFastest reaction time · 2–13 · cache, 11 Aug →
13–2Biggest win · mirage, 12 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 15mirageWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%-0.02
mirageD217–1433%0.00
anubisA159–660%0.00
dust2B115–645%-0.01
ancientB105–550%0.01
cacheA95–456%0.02
nukeD62–433%0.01
overpassA53–260%0.02
vertigo—10–10%0.04
train—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,442Lifetime kills
0.99K/D
3,574Matches
36.7%Match win rate
51.1%Headshot % · Top 50% of Level 8 players
19.5%Shot accuracy · Top 5% of Level 8 players
11,635MVPs
1,601Hours (in match)
2,858Bombs planted
1,443Bombs defused

Most-used weapons

AK-4733,448
AWP5,538
MP92,009
MAC-101,766
FAMAS1,287

Lifetime map wins

4,971inferno
3,495dust2
2,446vertigo
1,506nuke
787lake
654train
289cbble
62ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

560Matches
52%Win rate
1.03Avg K/D
71.7ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7246%0.9214.9
Anubis6360%1.0514.4
Ancient5951%0.9715.8
Inferno3444%0.9514.3
Dust22552%0.9114.6
Cache1443%0.9614.5
Vertigo560%0.8511.4
Train540%0.7914.4

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.

19.5%Headshot accuracy
42.0%Accuracy (enemy spotted)
44.9%Spray accuracy
86.4%Counter-strafing
11.5°Preaim
606msReaction time
32.2%T opening success
53.4%CT opening success
0.73Enemies flashed / flash
6.9%Flash assists
9.24HE damage / grenade
8.08Flashes / 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. 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 32.2322% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.1013%21 Sept →
inferno1–9-0.1725%9 Sept →
anubis13–8-0.0412%21 Aug →
mirage14–16-0.0027%21 Aug →
ancient9–13-0.0214%21 Aug →
cache13–90.0232%13 Aug →
mirage6–130.0532%13 Aug →
cache13–70.0124%12 Aug →
ancient13–80.0611%12 Aug →
anubis13–7-0.0611%11 Aug →
dust211–13-0.0129%11 Aug →
ancient13–5-0.0020%11 Aug →
cache2–13-0.0515%11 Aug →
inferno22–180.0225%10 Aug →
mirage5–130.0427%10 Aug →
mirage8–130.0120%4 Aug →
inferno13–40.0420%2 Aug →
dust213–110.0317%14 Jul →
mirage5–13-0.0415%9 Jul →
mirage13–16-0.0412%7 Jul →
inferno13–11-0.0413%1 Jul →
anubis13–30.1021%18 Jun →
cache12–120.0726%13 Jun →
cache13–110.0219%13 Jun →
dust213–9-0.0513%13 Jun →
nuke11–13-0.0128%13 Jun →
mirage1–13-0.1013%12 Jun →
inferno9–130.0126%12 Jun →
inferno16–140.0321%7 Jun →
inferno8–13-0.0611%7 Jun →
nuke13–70.019%5 Jun →
ancient6–130.1124%4 Jun →
cache13–50.1122%4 Jun →
mirage13–80.0110%29 May →
inferno7–130.0022%29 May →
ancient13–40.0015%29 May →
ancient13–100.0216%29 May →
inferno13–11-0.0018%25 May →
cache9–13-0.0430%17 May →
mirage13–70.0222%17 May →
cache8–13-0.0432%16 May →
overpass13–30.0317%1 Apr →
mirage13–40.0816%20 Mar →
dust28–13-0.0439%1 Mar →
mirage13–70.0217%28 Feb →
anubis15–150.0227%28 Feb →
mirage9–130.0117%15 Dec →
dust24–130.0337%15 Dec →
nuke10–13-0.0012%14 Dec →
ancient8–13-0.0819%12 Dec →
mirage13–20.0740%12 Dec →
overpass9–13-0.0126%12 Dec →
inferno0–9-0.278%16 Nov →
overpass9–40.0912%16 Nov →
nuke5–9-0.0921%16 Nov →
inferno13–60.0926%11 Nov →
inferno13–50.0814%11 Nov →
nuke9–130.0630%11 Nov →
overpass9–13-0.0522%11 Nov →
overpass13–30.0322%2 Oct →
anubis10–13-0.0420%2 Oct →
inferno13–90.0232%4 Jul →
dust28–13-0.0324%4 Jul →
dust213–100.0529%4 Jul →
anubis6–130.0215%30 May →
vertigo12–120.0427%30 May →
ancient19–16-0.0023%5 May →
inferno13–70.0021%4 May →
dust29–13-0.0313%4 May →
anubis13–50.0326%4 May →
dust213–100.0126%27 Apr →
mirage8–13-0.0317%27 Apr →
mirage16–130.0527%27 Apr →
inferno13–8-0.0126%26 Apr →
inferno11–130.0115%26 Apr →
anubis13–60.0117%26 Apr →
inferno13–110.0416%24 Apr →
mirage3–13-0.0516%24 Apr →
mirage10–13-0.0625%23 Apr →
inferno4–13-0.0412%23 Apr →
anubis13–11-0.0320%23 Apr →
inferno13–110.0219%22 Apr →
mirage8–13-0.0222%22 Apr →
anubis10–13-0.0020%22 Apr →
mirage10–130.0422%21 Apr →
dust23–13-0.0711%21 Apr →
anubis10–130.0111%21 Apr →
anubis22–18-0.0220%17 Apr →
dust213–110.0213%17 Apr →
inferno11–13-0.0128%14 Apr →
train6–13-0.0321%13 Apr →
inferno8–13-0.0721%13 Apr →
mirage13–11-0.0127%9 Apr →
anubis13–30.0219%9 Apr →
nuke13–80.0936%8 Apr →
anubis13–40.0212%8 Apr →
mirage11–130.0120%7 Apr →
ancient7–13-0.0428%5 Apr →
anubis10–13-0.0215%4 Apr →
ancient10–130.0118%2 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.