boblyat ☁︎ imonacloud

boblyat ☁︎ imonacloud — CS2 Stats

76561198816712432[U:1:856446704]Steam profile ↗✓ No bans

846Tracked matches59%Win rate2020Tracked since
1,969Hours in CS20Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
Premier CS Rating25,433Top 10% of 212,910 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#18042 of 259655 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (8 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: 25,433 -163 23 Sept – 26 Oct · 10 days played
25,06026,325peak 26,32523 Sept26 Oct
26,325Peak Premier in tracked matches
31Days played since 2026-09-23

Premier CS Rating

  • 892 below peak (26,325)
  • +94 over 30 days · steady
  • Next: Gold band at 30,000 — 4,567 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-23
  • Pink band first seen 2026-09-23

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate45.4%48.2%50.9%5.5% short
Shot accuracy14.7%13.2%13.7%above
Kill/death ratio1.091.071.09meets
Match win rate52.5%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGboblyat ☁︎ imonacloudFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,433 · Red 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

Aim87
Positioning69
Utility57

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateLWWWWTWWLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +9.8pp headshot accuracy · +3ms 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 43%
  • Avg reaction 531ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 38%
  • Avg reaction 545ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 33%
  • Avg reaction 543ms

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 (+1.3 against its own average).

Aim8.7
Utility5.7
Positioning6.9
Opening Duels5.8
Clutch4.2

Sharp aimerStrong CT-side openerEffective flashes

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 65% T opening-duel success — entries that actually open the round.

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

Aim8.7
Positioning6.9
Utility5.7
Mechanics7.4
Opening Duels8.4
Win Impact8.1

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time548ms−2ms
first ⅓ avg 550ms → last ⅓ avg 548ms
Headshot accuracy29.1%+9.9%
first ⅓ avg 19.2% → last ⅓ avg 29.1%

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

0.15Best match rating · 7–13 · mirage, 18 Oct →
71%Best headshot accuracy · 6–1 · dust2, 29 Oct →
344msFastest reaction time · 0–13 · mirage, 26 Oct →
13–0Biggest win · cache, 28 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 18ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%0.03
cacheS1812–667%0.04
dust2A1610–663%0.02
anubisA138–562%0.03
ancientD82–625%-0.01
infernoC52–340%0.01
train—42–250%0.05
nuke—22–0100%0.02
vertigo—21–150%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,062Lifetime kills
1.09K/D · Top 50% of Level 9 players
2,379Matches
52.5%Match win rate · Top 25% of Level 9 players
45.4%Headshot %
14.7%Shot accuracy · Top 50% of Level 9 players
7,300MVPs
1,287Hours (in match)
2,531Bombs planted
696Bombs defused

Most-used weapons

AK-4722,940
AWP8,422
MAC-101,302
MP91,140
Knife848

Lifetime map wins

3,506inferno
3,420dust2
1,146train
826nuke
589vertigo
510office
58cbble
19lake

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

Faceit stats

Combat

848Matches
53%Win rate
1.04Avg K/D
76.6ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage14157%0.9415.1
Anubis9351%1.0415.8
Dust25343%0.9815.5
Cache4365%1.2217.4
Inferno2741%0.9214.8
Ancient2646%0.8715.3
Nuke1233%0.8915.8
Overpass560%0.9717.0

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.

27.7%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.5%Spray accuracy
83.5%Counter-strafing
8.7°Preaim
545msReaction time
64.8%T opening success
62.8%CT opening success
0.70Enemies flashed / flash
6.9%Flash assists
10.91HE damage / grenade
6.19Flashes / match

Recommended for you

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0635%30 Oct →
train13–50.1336%30 Oct →
dust26–10.0671%29 Oct →
mirage13–80.0843%27 Oct →
train13–90.0828%27 Oct →
mirage12–120.0725%26 Oct →
cache13–90.0233%26 Oct →
cache13–3-0.0326%26 Oct →
mirage0–13-0.0550%26 Oct →
dust213–40.0130%26 Oct →
mirage13–60.1437%26 Oct →
cache13–60.0932%26 Oct →
mirage13–90.0421%25 Oct →
mirage10–13-0.0220%24 Oct →
inferno4–13-0.0026%24 Oct →
cache13–9-0.0142%24 Oct →
cache12–120.1329%23 Oct →
train12–120.0031%20 Oct →
cache13–7-0.0323%19 Oct →
mirage9–130.0920%19 Oct →
mirage13–90.0835%19 Oct →
cache13–70.0429%19 Oct →
mirage19–15-0.0121%18 Oct →
mirage3–13-0.0119%18 Oct →
anubis11–130.0317%18 Oct →
mirage7–130.1534%18 Oct →
dust24–13-0.1120%17 Oct →
ancient6–13-0.059%17 Oct →
ancient13–80.0621%17 Oct →
mirage14–160.0220%17 Oct →
mirage13–50.0234%16 Oct →
cache13–30.0321%16 Oct →
anubis17–19-0.0122%16 Oct →
cache8–13-0.0322%16 Oct →
mirage9–13-0.0521%16 Oct →
dust23–13-0.0527%16 Oct →
anubis13–60.0718%16 Oct →
cache14–160.0219%15 Oct →
cache13–9-0.0316%15 Oct →
ancient9–13-0.0612%15 Oct →
inferno10–130.0117%15 Oct →
nuke13–80.0410%15 Oct →
anubis13–110.0417%15 Oct →
ancient7–13-0.0114%15 Oct →
ancient11–13-0.0414%14 Oct →
dust213–90.0026%14 Oct →
mirage11–130.0224%14 Oct →
mirage13–10-0.0121%14 Oct →
mirage15–19-0.0615%14 Oct →
cache13–40.1520%14 Oct →
mirage8–13-0.0329%13 Oct →
vertigo8–130.0414%13 Oct →
mirage13–60.0123%13 Oct →
inferno8–8-0.0910%13 Oct →
inferno9–10.1544%13 Oct →
dust213–90.1219%13 Oct →
nuke16–130.0135%12 Oct →
dust216–130.0227%12 Oct →
dust213–100.0318%12 Oct →
dust211–13-0.0226%12 Oct →
mirage13–90.0515%12 Oct →
anubis1–13-0.0413%12 Oct →
mirage13–11-0.0120%11 Oct →
mirage13–90.0416%11 Oct →
anubis13–50.0334%11 Oct →
mirage13–110.0220%11 Oct →
dust213–80.0822%10 Oct →
inferno13–7-0.0020%9 Oct →
dust213–50.1524%9 Oct →
ancient15–15-0.0115%8 Oct →
dust213–50.0335%7 Oct →
mirage9–130.1022%7 Oct →
mirage13–110.0625%6 Oct →
mirage13–60.0819%6 Oct →
dust214–160.0523%5 Oct →
mirage8–130.0524%5 Oct →
train6–13-0.0020%5 Oct →
cache13–60.1225%5 Oct →
anubis13–80.028%4 Oct →
ancient11–13-0.0027%4 Oct →
anubis3–130.0418%4 Oct →
cache10–130.0629%3 Oct →
anubis13–110.0717%3 Oct →
mirage11–130.0220%1 Oct →
ancient13–80.0219%1 Oct →
anubis4–130.0410%30 Sept →
mirage8–13-0.0630%30 Sept →
anubis13–8-0.0610%30 Sept →
dust213–8-0.0213%29 Sept →
mirage13–50.0318%29 Sept →
cache13–00.1218%28 Sept →
cache2–13-0.0915%28 Sept →
mirage13–20.029%28 Sept →
mirage13–80.0220%27 Sept →
anubis13–60.0820%27 Sept →
cache13–100.0612%27 Sept →
dust27–13-0.0418%27 Sept →
vertigo13–90.0417%27 Sept →
anubis13–100.0816%27 Sept →
dust210–13-0.0420%26 Sept →

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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