Don_Blobse

Don_Blobse — CS2 Stats

76561198070335919[U:1:110070191]Steam profile ↗✓ No bans

2,230Tracked matches39%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating22,062Top 50% of 210,832 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#55030 of 257910 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 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: 22,062 +1,616 4 Aug – 26 Oct · 38 days played
19,27222,062peak 22,0624 Aug26 Oct
22,501Peak Premier in tracked matches
37Days played since 2026-08-04

Premier CS Rating

  • At peak — 22,062
  • +2,416 over 30 days · improving
  • +1,616 over 90 days
  • Next: Red band at 25,000 — 2,938 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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

Share this profile

CSDB.GGDon_BlobsePREMIER22,062 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning75
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY40–54–6Last 10040%Win rateLLWWTLLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.2pp headshot accuracy · −9ms reaction

Win rate −10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 545ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 559ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

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).

Aim8.1
Utility5.7
Positioning7.5
Opening Duels5.4

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 69% 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

Aim8.1
Positioning7.5
Utility5.7
Mechanics7.5
Opening Duels8.3
Win Impact1.4

Composite 7.0/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time548ms−30ms
first ⅓ avg 578ms → last ⅓ avg 548ms
Headshot accuracy21.2%−2.6%
first ⅓ avg 23.8% → last ⅓ avg 21.2%

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 · 13–0 · inferno, 20 Sept →
39%Best headshot accuracy · 9–13 · dust2, 10 Aug →
375msFastest reaction time · 13–8 · inferno, 20 Oct →
13–0Biggest win · inferno, 20 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
3–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 64% over 11mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA2113–862%0.04
anubisD206–1430%0.00
infernoD175–1229%0.03
ancientA117–464%0.02
cacheC104–640%0.01
dust2C83–538%0.03
mirageD70–70%-0.02
vertigo—41–325%0.04
debris—21–150%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.50Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

21.8%Headshot accuracy
38.2%Accuracy (enemy spotted)
31.5%Spray accuracy
83.8%Counter-strafing
9.7°Preaim
545msReaction time
69.1%T opening success
57.7%CT opening success
0.57Enemies flashed / flash
6.8%Flash assists
11.22HE damage / grenade
11.17Flashes / match

Recommended for you

Spend your practice time on Mirage

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 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0224%26 Oct →
mirage8–130.0323%26 Oct →
nuke13–40.0335%26 Oct →
nuke16–130.1017%26 Oct →
vertigo8–80.0516%26 Oct →
inferno6–13-0.0312%25 Oct →
mirage1–13-0.0422%23 Oct →
ancient13–90.0422%23 Oct →
inferno3–130.0527%23 Oct →
dust213–60.0125%21 Oct →
cache11–130.0424%21 Oct →
nuke6–130.0815%21 Oct →
inferno9–10.1020%21 Oct →
nuke9–50.0715%21 Oct →
inferno13–80.0227%20 Oct →
ancient13–70.0635%20 Oct →
dust211–130.0734%20 Oct →
cache1–13-0.044%19 Oct →
debris9–60.1127%19 Oct →
vertigo6–90.0224%19 Oct →
anubis6–13-0.0529%18 Oct →
nuke13–70.0229%18 Oct →
mirage2–13-0.124%17 Oct →
cache13–11-0.0015%17 Oct →
inferno13–110.049%17 Oct →
mirage3–130.0112%15 Oct →
nuke13–16-0.0120%15 Oct →
dust213–80.0718%12 Oct →
anubis7–13-0.0124%12 Oct →
cache10–13-0.0617%12 Oct →
cache13–100.0519%8 Oct →
nuke7–13-0.0229%8 Oct →
anubis10–13-0.0027%8 Oct →
inferno15–150.0420%6 Oct →
mirage15–150.0530%6 Oct →
nuke9–50.0618%6 Oct →
vertigo7–90.0329%6 Oct →
cache13–100.0021%5 Oct →
anubis13–40.0620%5 Oct →
anubis13–90.0616%5 Oct →
nuke11–130.0224%3 Oct →
nuke13–6-0.0016%3 Oct →
anubis9–13-0.0528%3 Oct →
ancient13–70.0415%3 Oct →
anubis11–13-0.0214%3 Oct →
mirage4–13-0.0529%30 Sept →
inferno15–150.0426%30 Sept →
inferno6–130.0510%27 Sept →
ancient13–100.0728%27 Sept →
inferno7–13-0.0510%27 Sept →
nuke6–130.0531%27 Sept →
mirage8–13-0.0220%27 Sept →
ancient9–13-0.046%26 Sept →
inferno5–130.0023%26 Sept →
dust213–160.0113%24 Sept →
anubis16–120.0425%21 Sept →
ancient5–13-0.0717%21 Sept →
anubis13–30.0215%21 Sept →
nuke11–130.0827%20 Sept →
ancient6–130.0021%20 Sept →
inferno13–00.1922%20 Sept →
inferno8–13-0.0328%19 Sept →
anubis7–130.0826%15 Sept →
nuke13–4-0.0036%12 Sept →
nuke9–50.0924%12 Sept →
vertigo9–40.0738%12 Sept →
debris2–9-0.2120%12 Sept →
inferno9–5-0.0030%12 Sept →
anubis15–15-0.0319%11 Sept →
dust24–13-0.0225%11 Sept →
inferno1–13-0.0627%11 Sept →
cache7–13-0.0128%10 Sept →
anubis9–13-0.0514%10 Sept →
nuke16–130.0927%5 Sept →
ancient9–130.0532%5 Sept →
anubis3–13-0.0721%5 Sept →
ancient16–130.0522%4 Sept →
cache11–130.0522%4 Sept →
anubis16–130.0321%4 Sept →
inferno9–130.0226%30 Aug →
anubis6–130.0111%30 Aug →
nuke13–50.0135%29 Aug →
cache13–50.0517%29 Aug →
anubis5–130.0437%29 Aug →
nuke13–60.0820%27 Aug →
nuke13–80.1020%27 Aug →
ancient13–70.0032%17 Aug →
anubis3–13-0.0121%16 Aug →
inferno7–130.0515%12 Aug →
dust213–110.1126%10 Aug →
dust29–130.0439%10 Aug →
anubis5–13-0.0238%6 Aug →
nuke11–13-0.0314%6 Aug →
dust213–16-0.0233%6 Aug →
nuke13–100.0123%6 Aug →
nuke15–150.0131%5 Aug →
anubis13–100.0118%5 Aug →
inferno4–130.0311%5 Aug →
ancient16–13-0.0113%4 Aug →
cache9–130.0416%4 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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