GrinzA

GrinzA — CS2 Stats

DE76561198321661186[U:1:361395458]Steam profile ↗✓ No bans

806Tracked matches52%Win rate2020Tracked since
2,415Hours in CS9Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating13,343Blue band · top ~37.2% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 58 days played since 1 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,343 +4,438 1 Mar21 Sept · 49 days played
8,90514,669peak 14,6691 Mar21 Sept
14,767Peak Premier in tracked matches
58Days played since 2026-03-01

Premier CS Rating

  • 1,326 below peak (14,669)
  • -1,111 over 30 days · declining
  • +1,477 over 90 days
  • Next: Purple band at 15,000 1,657 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.7%41.9%44.3%above
Shot accuracy15.4%9.6%11.8%above
Kill/death ratio1.150.981.03above
Match win rate70.7%43.8%45.2%above

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGGrinzAPREMIER13,343 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateLWWLLLWWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.6pp headshot accuracy · −42ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 591ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 586ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

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: SupportUtility contribution stands above the rest of this profile (+2.8 against its own average).

Aim5.8
Utility7.1
Positioning5.6
Opening Duels1.8
Clutch2.6

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 71% 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. 610ms 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

Aim5.8
Positioning5.6
Utility7.1
Mechanics5.8
Opening Duels1.5
Win Impact5.6

Composite 5.2/10 (Developing), 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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time622ms−96ms
first ⅓ avg 718ms → last ⅓ avg 622ms
Headshot accuracy16.0%+0.5%
first ⅓ avg 15.4% → last ⅓ avg 16.0%

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

0.21Best match rating · 13–4 · overpass, 18 Jun
29%Best headshot accuracy · 10–13 · inferno, 28 Aug
469msFastest reaction time · 14–16 · ancient, 4 Sept
13–1Biggest win · cache, 1 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
710In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 63% over 24nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC27121544%-0.00
ancientA2415963%0.01
nukeD124833%0.00
overpassC104640%0.03
cacheA85363%0.01
anubisC83538%-0.03
mirageD62433%-0.03
dust231233%-0.02
vertigo110100%0.06
italy1010%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,905Lifetime kills
1.15K/D · Top 25% of Blue band
7,615Matches
70.7%Match win rate · Top 1% of Blue band
48.7%Headshot % · Top 25% of Blue band
15.4%Shot accuracy · Top 25% of Blue band
9,054MVPs
1,355Hours (in match)
2,741Bombs planted
721Bombs defused

Most-used weapons

AK-4717,074
AWP4,585
MAC-102,078
MP91,960
P2501,789

Lifetime map wins

7,090inferno
3,658dust2
1,358nuke
626vertigo
473train
175office
133aztec
132italy

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

Faceit stats

Combat

297Matches
49%Win rate
1.11Avg K/D
72.4ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.579.3
Ancient367%1.0315.0
Overpass3100%1.1712.0
Nuke333%1.0614.0
Inferno333%1.0011.0
Anubis1100%1.7816.0

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.

16.0%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.2%Spray accuracy
76.2%Counter-strafing
11.6°Preaim
610msReaction time
37.2%T opening success
34.5%CT opening success
0.63Enemies flashed / flash
6.7%Flash assists
11.78HE damage / grenade
9.46Flashes / 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 37.1637% — below the 40% mark we flag

Spend your practice time on Nuke

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 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0517%21 Sept
cache13–80.0212%20 Sept
inferno13–100.0613%12 Sept
inferno13–16-0.0716%12 Sept
inferno13–160.0417%10 Sept
inferno4–13-0.0514%6 Sept
nuke13–6-0.0511%6 Sept
ancient13–4-0.0219%6 Sept
nuke9–13-0.0314%4 Sept
ancient14–16-0.0013%4 Sept
dust215–15-0.0118%4 Sept
anubis7–13-0.0110%4 Sept
nuke11–13-0.0119%2 Sept
cache13–30.0715%2 Sept
inferno8–13-0.0615%1 Sept
cache13–1-0.0215%1 Sept
nuke2–130.0125%31 Aug
ancient13–8-0.0523%30 Aug
inferno10–13-0.0129%28 Aug
inferno13–30.0414%18 Aug
ancient13–10-0.028%18 Aug
nuke13–40.0513%18 Aug
anubis13–70.0510%6 Aug
inferno13–60.0415%6 Aug
inferno6–13-0.0316%6 Aug
anubis13–80.0210%3 Aug
ancient13–20.0923%30 Jul
ancient4–13-0.0418%30 Jul
vertigo13–30.0619%30 Jul
inferno9–13-0.0122%27 Jul
anubis13–11-0.039%27 Jul
dust213–100.0222%26 Jul
nuke9–13-0.0013%20 Jul
ancient13–60.1714%20 Jul
cache5–13-0.0317%16 Jul
nuke11–130.0116%16 Jul
inferno13–80.0317%12 Jul
inferno11–13-0.0511%11 Jul
cache13–110.0016%9 Jul
cache8–130.017%9 Jul
ancient13–11-0.0318%9 Jul
inferno5–13-0.016%9 Jul
ancient13–70.0614%6 Jul
nuke10–130.0721%29 Jun
overpass11–130.0612%28 Jun
inferno13–100.0615%26 Jun
anubis11–13-0.0212%24 Jun
ancient7–13-0.0310%24 Jun
ancient8–13-0.0518%22 Jun
inferno13–60.0215%19 Jun
inferno15–150.0119%18 Jun
overpass13–40.2111%18 Jun
ancient13–110.0412%12 Jun
inferno13–50.0113%12 Jun
nuke13–9-0.0121%12 Jun
ancient13–60.1014%9 Jun
ancient13–11-0.0311%8 Jun
ancient11–13-0.0113%8 Jun
ancient6–130.0011%2 Jun
inferno10–13-0.0423%31 May
overpass13–40.0522%31 May
mirage5–13-0.0815%27 May
ancient3–13-0.088%27 May
inferno6–13-0.0417%21 May
anubis3–13-0.1212%21 May
cache5–13-0.0517%21 May
inferno5–13-0.0412%15 May
ancient13–110.0121%15 May
ancient13–110.039%15 May
ancient10–130.0611%14 May
overpass13–16-0.0011%14 May
italy3–13-0.0924%14 May
mirage13–30.028%13 May
overpass13–70.0213%5 May
inferno15–150.0315%5 May
overpass3–13-0.0320%4 May
ancient7–130.1112%4 May
cache13–60.0913%30 Apr
inferno13–90.0515%28 Apr
nuke13–60.0315%28 Apr
inferno3–13-0.0521%24 Apr
overpass11–130.0314%22 Apr
mirage5–13-0.042%22 Apr
ancient13–3-0.0212%16 Apr
mirage11–13-0.0320%16 Apr
inferno13–7-0.0216%8 Apr
anubis6–13-0.0511%2 Apr
mirage13–80.0610%30 Mar
overpass8–13-0.0120%20 Mar
inferno13–50.0115%13 Mar
inferno13–7-0.0221%12 Mar
ancient13–50.0114%12 Mar
overpass13–50.0326%9 Mar
overpass10–13-0.0124%9 Mar
mirage2–13-0.0915%8 Mar
nuke6–130.0419%8 Mar
ancient13–70.0116%5 Mar
dust23–13-0.0623%5 Mar
inferno13–30.109%2 Mar
anubis9–13-0.0515%1 Mar

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 →