BLOMME♞

BLOMME♞ — CS2 Stats

DK76561198351843679[U:1:391577951]Steam profile ↗✓ No bans

1,861Tracked matches45%Win rate2020Tracked since
9,966Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 9 · 2,099 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,099 → 2,099
+6Tracked matches · now 1,861
−3.5ppWin rate · 48.3% → 44.8%

Rating over time

Premier CS Rating: 22,771 +210 15 May – 28 May · 11 days played
22,44624,624peak 24,62415 May28 May
Faceit ELO: 2,099 +0 4 Sept – 18 Sept · 3 observations
2,0992,099peak 2,0994 Sept18 Sept
24,999Peak Premier in tracked matches
2,099Highest Faceit ELO seen on CSDB
62Days played since 2025-05-15

Faceit ELO

  • At peak — 2,099
  • Next: 2,500 ELO at 2,500 — 401 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-04
  • Level 9 first seen 2026-09-04

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 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 rate56.7%48.2%50.9%above
Shot accuracy20.1%13.2%13.7%above
Kill/death ratio1.221.071.09above
Match win rate47.5%46.9%48.4%meets

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGBLOMME♞FACEITLevel 9 · 2,099 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,099csdb.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

Aim74
Positioning42
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLLLWWWWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −4.3pp headshot accuracy · +1ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 589ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 609ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 609ms

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 (+1.9 against its own average).

Aim7.4
Utility5.4
Positioning4.2
Opening Duels0.5
Clutch4.0

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

b1t

Plays most like b1t 85% 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 636ms 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

Aim7.4
Positioning4.2
Utility5.4
Mechanics6.1
Opening Duels0.9
Win Impact3.3

Composite 5.2/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time645ms+55ms
first ⅓ avg 590ms → last ⅓ avg 645ms
Headshot accuracy27.0%−2.5%
first ⅓ avg 29.5% → last ⅓ avg 27.0%

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

0.14Best match rating · 13–3 · ancient, 17 Dec →
46%Best headshot accuracy · 16–13 · ancient, 16 Nov →
375msFastest reaction time · 10–1 · anubis, 28 May →
13–1Biggest win · mirage, 25 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
8–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 58% over 19trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%0.02
ancientA1911–858%0.00
nukeB179–853%0.03
infernoB157–847%-0.00
overpassC73–443%0.03
cacheB63–350%0.03
anubisB63–350%-0.02
trainD61–517%0.00
dust2—43–175%-0.00

Across the last 100 tracked matches.

Lifetime stats

258,087Lifetime kills
1.22K/D · Top 25% of Level 9 players
8,280Matches
47.5%Match win rate · Top 50% of Level 9 players
56.7%Headshot % · Top 25% of Level 9 players
20.1%Shot accuracy · Top 5% of Level 9 players
29,809MVPs
5,185Hours (in match)
9,487Bombs planted
3,299Bombs defused

Most-used weapons

AK-4799,917
Glock-1821,696
AWP18,463
SG 5536,684
Knife4,379
P2503,947
AUG3,733

Lifetime map wins

12,993nuke
11,038train
10,625inferno
5,313dust2
5,200vertigo
1,626cbble
189lake
173shorttrain

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

Faceit stats

Combat

4,769Matches
50%Win rate
1.12Avg K/D
75.5ADR
56%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
18Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient18749%1.1115.5
Mirage13350%1.0315.3
Nuke12249%1.1015.8
Inferno11143%1.0314.5
Anubis5351%1.0416.0
Dust24048%1.0316.1
Overpass3759%0.9514.7
Train2157%1.0713.6

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
33.8%Accuracy (enemy spotted)
36.6%Spray accuracy
77.5%Counter-strafing
9.8°Preaim
636msReaction time
27.0%T opening success
37.0%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
7.72HE damage / grenade
7.43Flashes / 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. 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 26.9501% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache15–19-0.0524%17 Oct →
inferno3–13-0.0724%15 Aug →
cache10–130.0125%11 Jul →
ancient11–130.0335%11 Jul →
overpass13–110.0929%1 Jul →
inferno19–17-0.0733%30 Jun →
mirage13–10.0511%25 Jun →
mirage13–10-0.029%21 Jun →
ancient13–30.0223%21 Jun →
overpass12–160.0320%30 May →
ancient6–13-0.0324%30 May →
mirage13–80.0327%27 May →
inferno8–13-0.0126%26 May →
nuke5–130.0324%26 May →
inferno9–13-0.0629%20 May →
overpass13–80.0236%20 May →
ancient10–13-0.0518%18 May →
cache13–80.0634%15 May →
cache9–70.0732%11 May →
cache12–120.0527%11 May →
mirage8–130.0120%10 May →
cache13–90.0423%10 May →
ancient13–90.0231%28 Apr →
nuke11–130.1330%29 Mar →
overpass8–130.0739%20 Mar →
nuke3–13-0.0338%20 Mar →
overpass11–130.0238%17 Mar →
nuke13–70.0538%17 Mar →
mirage13–70.0425%19 Feb →
mirage11–13-0.0235%4 Feb →
nuke13–7-0.0024%31 Jan →
overpass13–8-0.0224%30 Jan →
ancient13–10-0.0016%19 Jan →
inferno13–90.0225%16 Jan →
anubis12–16-0.0427%12 Jan →
overpass11–12-0.0233%11 Jan →
ancient13–110.0027%29 Dec →
dust213–11-0.0222%28 Dec →
ancient13–50.0233%28 Dec →
inferno3–13-0.1033%27 Dec →
nuke3–13-0.0433%27 Dec →
mirage11–13-0.0133%21 Dec →
ancient5–13-0.0526%19 Dec →
ancient13–30.1433%17 Dec →
ancient5–13-0.0828%15 Dec →
inferno8–13-0.0235%13 Dec →
mirage7–13-0.0824%13 Dec →
nuke13–9-0.0239%23 Nov →
mirage15–150.0331%18 Nov →
mirage10–130.0419%16 Nov →
ancient16–130.0746%16 Nov →
dust213–90.0118%15 Nov →
ancient16–140.0430%15 Nov →
mirage13–50.0018%12 Nov →
dust213–70.0331%11 Nov →
ancient13–70.0117%11 Nov →
ancient13–50.0728%9 Nov →
ancient11–13-0.0126%2 Nov →
nuke11–13-0.0031%21 Oct →
ancient13–9-0.0534%13 Oct →
nuke7–13-0.0335%8 Oct →
mirage16–140.0434%30 Sept →
ancient4–13-0.0732%27 Sept →
inferno10–13-0.0125%31 Aug →
train5–13-0.0230%5 Jul →
anubis8–13-0.0132%2 Jun →
mirage11–130.0328%28 May →
anubis10–1-0.0514%28 May →
train4–13-0.0237%26 May →
inferno13–100.0528%26 May →
nuke13–40.0327%26 May →
mirage6–13-0.0644%26 May →
anubis13–70.0638%25 May →
nuke10–130.0333%25 May →
inferno14–16-0.0133%25 May →
inferno11–130.0345%24 May →
train6–130.0330%24 May →
inferno13–110.0936%24 May →
mirage8–130.0727%24 May →
train13–30.0433%24 May →
mirage13–60.0224%24 May →
nuke13–60.1027%23 May →
anubis7–13-0.0424%23 May →
dust213–16-0.0330%22 May →
nuke13–50.0721%22 May →
nuke8–130.0133%21 May →
mirage10–130.0329%21 May →
mirage13–90.0413%21 May →
inferno13–90.0334%21 May →
nuke13–90.1237%21 May →
nuke13–100.0216%20 May →
anubis13–6-0.0324%20 May →
ancient8–13-0.0531%20 May →
inferno13–100.0618%19 May →
mirage13–30.0733%19 May →
train7–130.0020%16 May →
mirage5–130.0130%15 May →
train7–13-0.0344%15 May →
nuke16–13-0.0117%15 May →
inferno13–40.0641%15 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.