GrazzyV_23

GrazzyV_23 — CS2 Stats

SV76561198257068379[U:1:296802651]Steam profile ↗✓ No bans

803Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating16,500Purple band · top ~22.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 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. 50 days played since 14 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,500 +951 19 Apr18 Sept · 26 days played
15,54918,948peak 18,94819 Apr18 Sept
Faceit ELO: 1,326 +0 2 Sept18 Sept · 5 observations
1,3261,326peak 1,3262 Sept18 Sept
18,948Peak Premier in tracked matches
1,326Highest Faceit ELO seen on CSDB
50Days played since 2026-04-14

Faceit ELO

  • At peak — 1,326
  • Next: Level 7 at 1,351 25 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-02
  • Level 5 first seen 2026-09-02

Premier CS Rating

  • 2,448 below peak (18,948)
  • -2,162 over 30 days · declining
  • -591 over 90 days
  • Next: Pink band at 20,000 3,500 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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.GGGrazzyV_23PREMIER16,500 · Purple bandPEAK ELO1,326csdb.gg/stats

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Performance scores

Aim64
Positioning52
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY54424Last 10054%Win rateWLWLWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +5.3pp headshot accuracy · +27ms 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 565ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim6.4
Utility4.1
Positioning5.2
Opening Duels3.4
Clutch2.8

Strong CT-side openerLimited utility dependence

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

iM

Plays most like iM 93% 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

T-side openings. Opening success drops from 54% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.4
Positioning5.2
Utility4.1
Mechanics5.7
Opening Duels3.2
Win Impact5.0

Composite 5.3/10 (Developing), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time540ms−116ms
first ⅓ avg 656ms → last ⅓ avg 540ms
Headshot accuracy15.5%−3.9%
first ⅓ avg 19.4% → last ⅓ avg 15.5%

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

0.10Best match rating · 13–7 · inferno, 19 Apr
38%Best headshot accuracy · 10–13 · inferno, 26 Apr
422msFastest reaction time · 13–7 · nuke, 31 Aug
13–2Biggest win · ancient, 9 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
115In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 63% over 19nukeWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA27151256%0.00
infernoA1912763%0.02
nukeC1661038%-0.02
anubisB136746%-0.01
ancientB84450%-0.01
cacheB84450%-0.02
dust2A53260%0.02
overpass440100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

375Matches
52%Win rate
0.94Avg K/D
74.2ADR
47%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage11955%0.9713.9
Inferno4856%0.9513.9
Anubis4137%0.9214.4
Ancient3155%1.0514.8
Nuke3060%1.0114.6
Overpass2556%0.9813.9
Train2352%0.8212.5
Dust21540%0.8714.1

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.

15.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.5%Spray accuracy
75.4%Counter-strafing
8.7°Preaim
535msReaction time
32.2%T opening success
53.5%CT opening success
0.60Enemies flashed / flash
3.3%Flash assists
7.11HE damage / grenade
2.93Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.9297 — below the 4 mark we flag

    Grenade Lineups
  2. 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 32.2165% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–110.0517%16 Sept
mirage7–130.0426%16 Sept
mirage13–60.0222%15 Sept
dust25–13-0.0117%15 Sept
inferno13–11-0.0114%14 Sept
mirage10–13-0.1111%12 Sept
anubis6–13-0.0017%10 Sept
inferno7–13-0.0724%10 Sept
ancient13–2-0.0311%9 Sept
mirage10–130.0513%9 Sept
anubis13–100.1013%9 Sept
anubis7–13-0.0610%7 Sept
inferno13–30.0919%7 Sept
mirage13–3-0.028%5 Sept
mirage11–130.0210%5 Sept
anubis13–70.017%5 Sept
ancient7–13-0.0321%3 Sept
cache8–13-0.067%2 Sept
mirage2–130.027%1 Sept
ancient9–13-0.0217%1 Sept
nuke13–7-0.0815%31 Aug
dust213–70.0512%31 Aug
ancient13–100.0124%26 Aug
mirage13–20.0613%26 Aug
nuke6–13-0.0611%26 Aug
nuke10–13-0.057%24 Aug
ancient6–13-0.0427%20 Aug
mirage13–80.0312%19 Aug
inferno13–7-0.0013%19 Aug
nuke16–14-0.0321%19 Aug
mirage7–130.0126%19 Aug
nuke9–13-0.0519%18 Aug
mirage13–60.0220%18 Aug
anubis2–13-0.0311%18 Aug
dust213–70.0713%18 Aug
anubis15–15-0.0024%17 Aug
nuke13–10-0.0425%9 Aug
nuke7–130.0113%2 Aug
nuke7–13-0.0327%28 Jul
anubis11–13-0.0524%28 Jul
inferno4–13-0.0319%28 Jul
dust213–11-0.0118%27 Jul
ancient13–50.0719%26 Jul
anubis13–4-0.0214%26 Jul
inferno13–110.0225%26 Jul
inferno13–110.0219%23 Jul
mirage13–4-0.0512%23 Jul
dust215–150.0218%23 Jul
anubis5–13-0.067%22 Jul
nuke5–13-0.073%21 Jul
mirage2–13-0.0616%21 Jul
ancient16–14-0.0112%21 Jul
nuke6–13-0.0524%20 Jul
inferno15–150.0117%20 Jul
cache9–13-0.0120%19 Jul
mirage13–3-0.0017%19 Jul
mirage6–13-0.048%9 Jul
inferno13–80.0212%7 Jul
nuke10–130.0321%21 Jun
inferno13–9-0.0116%16 Jun
mirage13–60.0315%16 Jun
overpass13–110.0324%16 Jun
anubis13–40.0210%14 Jun
mirage13–90.0418%11 Jun
mirage11–13-0.0016%27 May
inferno13–110.0633%27 May
cache8–130.0416%27 May
inferno13–40.0420%27 May
overpass13–8-0.0724%20 May
inferno15–150.0327%18 May
mirage13–80.0117%13 May
nuke10–130.0530%13 May
cache13–70.0217%13 May
mirage13–110.0324%12 May
inferno13–40.0417%12 May
anubis13–80.0611%12 May
nuke9–130.0318%12 May
nuke13–40.0619%11 May
inferno8–13-0.0126%11 May
anubis17–19-0.0310%3 May
mirage6–13-0.053%3 May
cache13–7-0.0813%2 May
cache13–70.0515%29 Apr
cache13–9-0.0712%29 Apr
cache9–13-0.0217%26 Apr
inferno10–13-0.0238%26 Apr
mirage3–13-0.0227%24 Apr
anubis13–7-0.019%22 Apr
overpass13–90.0220%22 Apr
ancient9–13-0.0023%22 Apr
mirage13–50.0530%22 Apr
inferno14–16-0.0121%22 Apr
mirage8–130.0519%21 Apr
inferno13–100.0220%20 Apr
overpass13–70.0220%20 Apr
mirage13–4-0.0217%20 Apr
inferno13–70.1016%19 Apr
nuke13–80.0317%19 Apr
mirage13–10-0.0320%19 Apr
nuke16–14-0.0324%14 Apr

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 →