그레고르

그레고르 — CS2 Stats

FI76561199007699180[U:1:1047433452]Steam profile ↗✓ No bans

563Tracked matches34%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating20,000Top 50% of 213,211 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#83746 of 259899 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (66 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: 20,000 +4,407 12 Jul – 30 Aug · 31 days played
15,59322,862peak 22,86212 Jul30 Aug
23,221Peak Premier in tracked matches
35Days played since 2026-07-09

Premier CS Rating

  • 2,862 below peak (22,862)
  • +207 over 30 days · steady
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GG그레고르PREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning37
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLLWWWTLLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.3pp headshot accuracy · +69ms 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 612ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 623ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

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 (+3.5 against its own average).

Aim7.1
Utility6.5
Positioning3.7
Opening Duels0.1
Clutch1.6

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 39% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim7.1
Positioning3.7
Utility6.5
Mechanics6.0
Opening Duels1.2
Win Impact0.0

Composite 5.0/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time606ms−81ms
first ⅓ avg 687ms → last ⅓ avg 606ms
Headshot accuracy13.4%−3.7%
first ⅓ avg 17.0% → last ⅓ avg 13.4%

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 · 8–8 · inferno, 29 Jul →
40%Best headshot accuracy · 8–8 · inferno, 29 Jul →
438msFastest reaction time · 4–13 · ancient, 19 Aug →
13–2Biggest win · anubis, 31 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
4–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 52% over 31infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%0.01
dust2C197–1237%0.01
cacheB168–850%-0.00
anubisB157–847%-0.01
nukeC83–538%0.00
infernoD50–50%0.02
ancient—41–325%0.02
debris—11–0100%0.07
eldorado—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

755Matches
51%Win rate
1.11Avg K/D
74.0ADR
38%Headshot %

Clutches & streaks

28%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7345%1.0314.7
Anubis6857%1.1416.7
Dust26456%1.0916.2
Nuke3259%1.0815.9
Ancient3142%1.0715.2
Vertigo2938%1.0215.5
Inferno2357%1.1415.6
Cache475%1.0619.5

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.

13.8%Headshot accuracy
37.9%Accuracy (enemy spotted)
41.6%Spray accuracy
77.1%Counter-strafing
9.3°Preaim
601msReaction time
18.7%T opening success
39.4%CT opening success
0.55Enemies flashed / flash
7.0%Flash assists
12.70HE damage / grenade
17.41Flashes / 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 13.8216% — below the 15% mark we flag

    Aim Training →
  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 18.7177% — below the 40% mark we flag

Spend your practice time on Inferno

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0322%9 Sept →
anubis13–16-0.059%7 Sept →
nuke13–6-0.0122%7 Sept →
mirage13–50.009%7 Sept →
cache19–150.0121%7 Sept →
dust215–150.0211%30 Aug →
mirage4–13-0.107%23 Aug →
dust25–13-0.037%22 Aug →
anubis3–13-0.0316%22 Aug →
mirage13–30.0214%19 Aug →
ancient4–13-0.0115%19 Aug →
anubis4–13-0.0110%13 Aug →
mirage14–16-0.035%12 Aug →
cache9–13-0.0415%12 Aug →
mirage5–13-0.095%12 Aug →
cache3–130.0419%11 Aug →
mirage3–130.0019%11 Aug →
mirage16–130.1021%11 Aug →
dust20–13-0.0713%11 Aug →
mirage13–80.0512%11 Aug →
cache13–90.0218%11 Aug →
anubis13–10-0.0027%10 Aug →
dust24–130.0121%8 Aug →
dust29–130.0113%8 Aug →
cache6–13-0.0115%7 Aug →
mirage13–60.016%7 Aug →
mirage11–13-0.075%6 Aug →
dust23–130.007%4 Aug →
nuke5–13-0.0212%4 Aug →
anubis13–50.0213%4 Aug →
mirage13–110.008%3 Aug →
dust216–130.0116%3 Aug →
cache13–100.039%3 Aug →
anubis10–13-0.0512%2 Aug →
mirage13–30.098%2 Aug →
mirage13–80.0819%2 Aug →
dust213–110.0216%2 Aug →
cache8–13-0.0512%2 Aug →
dust213–40.0616%2 Aug →
cache13–11-0.029%2 Aug →
mirage10–13-0.0514%2 Aug →
dust213–60.0527%2 Aug →
mirage2–13-0.0319%1 Aug →
mirage13–70.0618%1 Aug →
dust213–50.0615%31 Jul →
cache13–60.0116%31 Jul →
nuke9–130.0615%31 Jul →
anubis13–2-0.055%31 Jul →
mirage13–100.0212%31 Jul →
inferno5–13-0.0512%30 Jul →
anubis8–130.0729%30 Jul →
ancient4–13-0.0115%30 Jul →
inferno8–80.1640%29 Jul →
cache13–60.0712%29 Jul →
mirage9–13-0.0115%28 Jul →
cache13–50.0027%28 Jul →
anubis1–13-0.0531%27 Jul →
anubis13–70.0925%27 Jul →
mirage13–90.0314%27 Jul →
mirage7–130.0214%26 Jul →
anubis13–110.0322%26 Jul →
cache6–130.0121%26 Jul →
cache3–13-0.0522%26 Jul →
inferno4–9-0.1014%25 Jul →
nuke4–13-0.0827%25 Jul →
inferno14–160.0011%25 Jul →
dust28–13-0.0130%25 Jul →
anubis6–13-0.0215%24 Jul →
anubis15–15-0.0416%23 Jul →
mirage13–100.0114%23 Jul →
dust24–13-0.0422%23 Jul →
anubis13–60.0112%23 Jul →
mirage8–13-0.0514%23 Jul →
dust28–13-0.028%23 Jul →
cache9–13-0.0014%22 Jul →
anubis13–60.007%22 Jul →
mirage4–130.0013%22 Jul →
dust210–13-0.0721%22 Jul →
debris9–40.0726%20 Jul →
eldorado8–80.0440%20 Jul →
mirage6–13-0.045%20 Jul →
nuke13–20.0014%20 Jul →
dust22–13-0.035%20 Jul →
dust213–50.1224%20 Jul →
mirage10–130.0114%19 Jul →
mirage13–100.0216%19 Jul →
ancient13–90.0612%19 Jul →
mirage13–80.0312%19 Jul →
mirage13–50.1218%19 Jul →
nuke15–150.0318%19 Jul →
ancient4–130.0424%18 Jul →
mirage13–50.0318%18 Jul →
mirage6–130.0227%16 Jul →
nuke13–60.0329%16 Jul →
cache13–8-0.0121%14 Jul →
mirage5–13-0.0518%12 Jul →
dust213–40.047%12 Jul →
dust28–130.0720%12 Jul →
inferno8–80.0732%11 Jul →
nuke10–13-0.027%9 Jul →

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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