Gregor the Belphegor

Gregor the Belphegor — CS2 Stats

DE76561198801499428[U:1:841233700]Steam profile ↗✓ No bans

1,488Tracked matches43%Win rate2020Tracked since
1,606Hours in CS25Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating13,259Blue band · top ~37.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 13,259 +1,018 3 Sept – 14 Nov · 32 days played
10,76614,999peak 14,9993 Sept14 Nov
14,999Peak Premier in tracked matches
34Days played since 2026-09-03

Premier CS Rating

  • 1,740 below peak (14,999)
  • -1,505 over 30 days · declining
  • Next: Purple band at 15,000 — 1,741 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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 3 among CSDB-tracked players (n=10,677), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.4%41.8%42.7%meets
Shot accuracy7.9%12.2%11.2%3.3% short
Kill/death ratio0.770.980.990.22 short
Match win rate40.0%43.3%43.9%3.9% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGregor the BelphegorFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,259 · Blue 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

Aim61
Positioning54
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY39–49–12Last 10039%Win rateWTLWWWLWWL

Last 10 vs previous 10: +30pp win rate · −0.04 avg rating · +1.5pp headshot accuracy · −52ms reaction

Win rate up 30pp 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 (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 527ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 551ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 577ms

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 against its own average).

Aim6.1
Utility4.0
Positioning5.4
Opening Duels4.2
Clutch0.0

Limited 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

jL

Plays most like jL 95% 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

Reaction time. 586ms 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

Aim6.1
Positioning5.4
Utility4.0
Mechanics6.2
Opening Duels6.5
Win Impact2.6

Composite 5.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time589ms+39ms
first ⅓ avg 551ms → last ⅓ avg 589ms
Headshot accuracy13.9%−0.2%
first ⅓ avg 14.1% → last ⅓ avg 13.9%

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

0.19Best match rating · 9–2 · inferno, 9 Oct →
38%Best headshot accuracy · 9–13 · mirage, 27 Oct →
422msFastest reaction time · 6–9 · poseidon, 9 Oct →
13–3Biggest win · anubis, 4 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 70% over 10poseidonWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.01
mirageD133–1023%-0.03
dust2D121–118%-0.02
ancientS107–370%-0.02
cacheD81–713%-0.03
vertigoB84–450%0.04
nukeA74–357%0.01
anubisC73–443%0.02
poseidonD60–60%-0.06
debris—33–0100%0.04
eldorado—21–150%-0.05
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

38,484Lifetime kills
0.77K/D
2,722Matches
40.0%Match win rate
43.4%Headshot % · Top 50% of Level 3 players
7.9%Shot accuracy
5,340MVPs
890Hours (in match)
1,685Bombs planted
464Bombs defused

Most-used weapons

Lifetime map wins

3,456inferno
2,740vertigo
2,654dust2
1,045nuke
688train
362cbble
319lake
177office

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

Faceit stats

Combat

85Matches
48%Win rate
0.75Avg K/D
84.5ADR
42%Headshot %

Clutches & streaks

20%1v1 clutch win
40%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1136%1.0113.6
Vertigo743%1.0317.3
Ancient683%1.1611.7
Dust2475%0.9610.0
Anubis367%1.1318.3
Nuke367%0.9519.7
Inferno250%1.0613.5
Overpass1100%0.6911.0

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.

13.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.2%Spray accuracy
77.9%Counter-strafing
10.6°Preaim
586msReaction time
59.4%T opening success
52.2%CT opening success
0.62Enemies flashed / flash
5.5%Flash assists
6.64HE damage / grenade
3.67Flashes / 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 13.7239% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.6687 — below the 4 mark we flag

    Grenade Lineups →
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.

8% 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
mirage16–13-0.0110%14 Nov →
dust215–150.0017%14 Nov →
dust213–16-0.0317%13 Nov →
inferno13–4-0.008%13 Nov →
inferno13–8-0.0418%13 Nov →
nuke13–70.0212%13 Nov →
mirage6–13-0.0712%12 Nov →
ancient13–11-0.068%11 Nov →
inferno13–8-0.0613%10 Nov →
inferno11–13-0.0214%10 Nov →
ancient4–13-0.0315%10 Nov →
cache6–13-0.0118%10 Nov →
inferno13–16-0.014%6 Nov →
ancient13–9-0.0211%6 Nov →
mirage15–15-0.016%5 Nov →
nuke2–13-0.0513%5 Nov →
dust25–130.0310%5 Nov →
ancient13–80.0718%4 Nov →
anubis13–30.109%4 Nov →
cache8–130.029%4 Nov →
ancient16–140.0415%3 Nov →
mirage11–13-0.0311%3 Nov →
anubis13–90.0316%3 Nov →
cache14–16-0.049%2 Nov →
mirage13–16-0.0418%2 Nov →
inferno7–9-0.0418%2 Nov →
cache13–9-0.1118%29 Oct →
dust22–13-0.0435%29 Oct →
cache8–130.0125%28 Oct →
dust23–13-0.0820%28 Oct →
debris9–50.096%28 Oct →
cache6–13-0.0817%28 Oct →
poseidon8–8-0.0111%27 Oct →
mirage9–13-0.1038%27 Oct →
anubis14–16-0.0310%27 Oct →
dust28–130.0119%26 Oct →
cache8–130.0722%26 Oct →
nuke11–130.1020%26 Oct →
dust28–13-0.0120%26 Oct →
dust213–80.017%23 Oct →
anubis11–130.0011%23 Oct →
inferno16–120.0120%23 Oct →
inferno9–13-0.0116%23 Oct →
nuke10–130.0116%23 Oct →
anubis11–13-0.0113%21 Oct →
dust27–13-0.0518%21 Oct →
inferno9–40.1018%21 Oct →
dust210–13-0.0213%20 Oct →
inferno5–130.019%20 Oct →
mirage6–13-0.0317%20 Oct →
mirage13–90.0214%19 Oct →
inferno5–13-0.1013%19 Oct →
cache7–13-0.128%15 Oct →
ancient13–9-0.0513%15 Oct →
ancient5–13-0.0218%15 Oct →
inferno5–20.014%15 Oct →
vertigo8–80.1019%15 Oct →
inferno16–14-0.0115%14 Oct →
anubis13–90.028%14 Oct →
dust28–13-0.0615%13 Oct →
inferno2–13-0.0813%12 Oct →
ancient13–11-0.0626%12 Oct →
mirage13–10-0.0618%10 Oct →
ancient13–4-0.0311%10 Oct →
debris9–3-0.0210%10 Oct →
overpass9–4-0.0220%10 Oct →
eldorado9–30.0413%10 Oct →
vertigo9–70.017%10 Oct →
inferno7–9-0.0810%10 Oct →
poseidon6–9-0.109%9 Oct →
nuke9–40.0915%9 Oct →
dust26–13-0.0618%9 Oct →
poseidon6–9-0.0920%9 Oct →
inferno9–20.1919%9 Oct →
vertigo6–9-0.0418%9 Oct →
poseidon8–8-0.1315%9 Oct →
inferno6–9-0.0023%8 Oct →
mirage15–15-0.049%6 Oct →
inferno13–90.0118%6 Oct →
inferno13–70.019%6 Oct →
inferno15–150.0316%26 Sept →
nuke13–110.0023%26 Sept →
mirage6–13-0.0610%26 Sept →
anubis2–130.049%26 Sept →
mirage10–13-0.0511%26 Sept →
ancient15–15-0.0412%22 Sept →
inferno15–15-0.0410%22 Sept →
vertigo12–120.0616%20 Sept →
mirage10–130.0418%19 Sept →
nuke13–8-0.0818%18 Sept →
inferno13–10-0.0912%18 Sept →
inferno8–8-0.1211%15 Sept →
vertigo9–20.033%15 Sept →
vertigo9–70.0521%15 Sept →
debris9–70.0511%15 Sept →
eldorado7–9-0.1322%15 Sept →
vertigo6–9-0.0218%14 Sept →
poseidon8–80.119%14 Sept →
vertigo9–10.157%14 Sept →
poseidon6–9-0.1117%13 Sept →

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 →

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