Blobal Beagle

Blobal Beagle — CS2 Stats

76561198444899842[U:1:484634114]Steam profile ↗✓ No bans

1,353Tracked matches59%Win rate2020Tracked since
2,730Hours in CS12Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating19,692Top 50% of 213,399 CSDB-tracked playersPurple band · top ~9.7% of ranked players (population est.)
CSDB Leaderboard#90486 of 260005 tracked
FaceitLevel 7 · 1,523 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 19,692 +486 8 Aug – 4 Nov · 20 days played
19,05220,974peak 20,9748 Aug4 Nov
Faceit ELO: 1,523 +0 18 Sept – 23 Sept · 4 observations
1,5231,523peak 1,52318 Sept23 Sept
20,974Peak Premier in tracked matches
1,523Highest Faceit ELO seen on CSDB
35Days played since 2026-08-06

Faceit ELO

  • At peak — 1,523
  • Next: Level 8 at 1,531 — 8 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-18
  • Level 6 first seen 2026-09-18

Premier CS Rating

  • 1,282 below peak (20,974)
  • +567 over 30 days · improving
  • +486 over 90 days
  • Next: Pink band at 20,000 — 308 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate43.3%45.7%46.8%3.5% short
Shot accuracy9.3%12.7%13.0%3.7% short
Kill/death ratio1.041.051.06meets
Match win rate46.6%45.7%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBlobal BeagleFACEITLevel 7 · 1,523 ELOSTANDINGTop 42.3% of rankedPREMIER19,692 · Purple bandPEAK ELO1,523csdb.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

Aim80
Positioning70
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWWLLWLWWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −9.9pp headshot accuracy · −48ms 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 519ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 572ms

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 (+1.4 against its own average).

Aim8.0
Utility5.7
Positioning7.0
Opening Duels6.7
Clutch3.0

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

s1mple

Plays most like s1mple 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 559ms 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

Aim8.0
Positioning7.0
Utility5.7
Mechanics7.6
Opening Duels7.7
Win Impact7.9

Composite 7.4/10 (Strong), 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 rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time561ms−23ms
first ⅓ avg 583ms → last ⅓ avg 561ms
Headshot accuracy23.3%+2.2%
first ⅓ avg 21.1% → last ⅓ avg 23.3%

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

0.17Best match rating · 12–12 · mirage, 12 Oct →
59%Best headshot accuracy · 5–13 · office, 14 Oct →
383msFastest reaction time · 5–13 · office, 14 Oct →
13–0Biggest win · train, 15 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 14trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%-0.02
ancientB2110–1148%0.00
nukeA149–564%0.01
cacheB115–645%0.00
trainD72–529%0.00
anubisB63–350%-0.02
officeC52–340%0.01
vertigo—43–175%0.04
overpass—33–0100%0.06
mirage—30–30%0.05
dust2—22–0100%0.01
poseidon—11–0100%0.02
italy—10–10%0.13

Across the last 100 tracked matches.

Lifetime stats

60,235Lifetime kills
1.04K/D
3,396Matches
46.6%Match win rate · Top 50% of Level 7 players
43.3%Headshot %
9.3%Shot accuracy
7,650MVPs
1,507Hours (in match)
2,435Bombs planted
961Bombs defused

Most-used weapons

AK-4721,628
AWP7,029
SSG 082,318
P2501,286
MAC-101,218
Nova1,149

Lifetime map wins

6,610inferno
4,915nuke
2,829train
1,830dust2
1,415office
885vertigo
614cbble
171lake

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

Faceit stats

Combat

637Matches
50%Win rate
1.06Avg K/D
82.3ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke13153%1.1116.3
Ancient12951%1.1415.9
Inferno12751%1.0514.5
Overpass5954%1.0315.5
Mirage4939%1.0116.1
Anubis4035%0.9414.8
Dust23053%1.1215.5
Cache2642%1.0516.7

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.

23.5%Headshot accuracy
36.0%Accuracy (enemy spotted)
34.1%Spray accuracy
84.2%Counter-strafing
9.9°Preaim
559msReaction time
66.9%T opening success
54.9%CT opening success
0.51Enemies flashed / flash
6.2%Flash assists
9.07HE damage / grenade
12.96Flashes / match

Recommended for you

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0421%4 Nov →
cache13–100.0429%4 Nov →
anubis13–90.0116%3 Nov →
cache10–13-0.0226%3 Nov →
nuke13–160.0332%3 Nov →
cache13–50.0613%2 Nov →
inferno7–130.0115%2 Nov →
ancient13–100.0313%2 Nov →
inferno19–17-0.0222%30 Oct →
vertigo13–100.0318%15 Oct →
train13–00.1719%15 Oct →
inferno8–130.0128%15 Oct →
train7–13-0.0729%14 Oct →
office5–130.0159%14 Oct →
dust210–40.0433%14 Oct →
vertigo13–110.1116%14 Oct →
overpass13–10.0625%14 Oct →
mirage12–120.1731%12 Oct →
ancient5–130.0432%12 Oct →
train6–13-0.0530%12 Oct →
inferno13–2-0.0131%12 Oct →
mirage8–130.0430%12 Oct →
cache13–110.0826%12 Oct →
inferno16–13-0.0213%12 Oct →
anubis13–90.0425%11 Oct →
ancient10–13-0.0419%11 Oct →
dust213–5-0.016%11 Oct →
nuke13–8-0.0218%5 Oct →
ancient13–110.0517%5 Oct →
nuke7–130.0226%5 Oct →
ancient2–13-0.0514%4 Oct →
inferno2–13-0.0910%4 Oct →
nuke13–70.0627%4 Oct →
ancient14–160.0017%30 Sept →
nuke13–8-0.0614%30 Sept →
cache2–13-0.0636%14 Sept →
inferno9–13-0.0221%14 Sept →
anubis0–13-0.106%14 Sept →
nuke11–30.0737%12 Sept →
ancient16–13-0.0129%12 Sept →
cache14–160.0827%11 Sept →
ancient8–13-0.0116%10 Sept →
ancient7–130.0418%7 Sept →
overpass13–40.1223%2 Sept →
office13–8-0.0430%2 Sept →
office3–130.0422%2 Sept →
inferno13–110.0418%2 Sept →
nuke13–9-0.0317%2 Sept →
inferno0–13-0.110%2 Sept →
nuke13–160.0211%2 Sept →
ancient8–13-0.0213%2 Sept →
inferno10–13-0.0810%1 Sept →
ancient7–13-0.0326%30 Aug →
office13–40.0430%27 Aug →
train11–130.0331%27 Aug →
cache6–13-0.0838%27 Aug →
ancient8–13-0.0113%25 Aug →
nuke13–70.0512%25 Aug →
cache9–13-0.0519%25 Aug →
inferno10–13-0.0612%24 Aug →
ancient13–9-0.0515%23 Aug →
ancient6–13-0.0323%23 Aug →
ancient13–80.0318%23 Aug →
inferno13–110.0326%21 Aug →
ancient13–00.0525%20 Aug →
nuke13–2-0.0428%20 Aug →
inferno13–9-0.0327%20 Aug →
ancient6–13-0.0222%20 Aug →
inferno13–11-0.0119%20 Aug →
inferno13–80.1019%19 Aug →
ancient13–30.0629%19 Aug →
nuke7–13-0.0313%18 Aug →
vertigo9–50.0525%18 Aug →
inferno13–70.0422%17 Aug →
inferno6–13-0.0925%17 Aug →
ancient13–10-0.0124%12 Aug →
nuke13–10-0.0534%12 Aug →
train3–13-0.1027%12 Aug →
mirage5–13-0.0716%12 Aug →
inferno4–13-0.1124%11 Aug →
inferno2–13-0.064%11 Aug →
nuke13–80.0720%10 Aug →
cache13–50.0222%9 Aug →
inferno9–130.0419%9 Aug →
ancient13–7-0.0211%9 Aug →
office12–120.0226%9 Aug →
cache14–16-0.0616%8 Aug →
anubis13–10-0.0325%8 Aug →
vertigo3–13-0.0413%7 Aug →
nuke11–130.0611%7 Aug →
poseidon9–40.0216%7 Aug →
train13–60.0138%7 Aug →
anubis6–13-0.0713%7 Aug →
italy12–120.1338%7 Aug →
overpass13–30.0117%7 Aug →
train9–130.0427%7 Aug →
inferno7–13-0.0126%6 Aug →
cache13–90.0222%6 Aug →
ancient13–90.0219%6 Aug →
inferno5–13-0.0414%6 Aug →

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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