boel

boel — CS2 Stats

FI76561199118407524[U:1:1158141796]Steam profile ↗✓ No bans

445Tracked matches54%Win rate2021Tracked since
CSDB Rating4.3 DevelopingClutch Specialist
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 445 tracked matches. Play, then come back: the next observation lands here.

Rating over time

605Highest Faceit ELO seen on CSDB
42Days played since 2023-09-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGboelFACEITLevel 2STANDINGTop 97.9% of rankedPEAK ELO605csdb.gg/stats

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Performance scores

Aim41
Positioning59
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWWLLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · +25ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 633ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim4.1
Utility1.1
Positioning5.9
Opening Duels4.0
Clutch6.0

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

m0NESY

Plays most like m0NESY 64% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 648ms 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

Aim4.1
Positioning5.9
Utility1.1
Mechanics6.7
Opening Duels1.3
Win Impact6.2

Composite 4.3/10 (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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time629ms−25ms
first ⅓ avg 655ms → last ⅓ avg 629ms
Headshot accuracy13.2%+0.1%
first ⅓ avg 13.2% → last ⅓ avg 13.2%

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

0.10Best match rating · 13–3 · mirage, 2 Dec →
29%Best headshot accuracy · 3–13 · inferno, 6 Oct →
398msFastest reaction time · 7–13 · mirage, 11 Sept →
13–2Biggest win · mirage, 19 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
10–10In matches decided by ≤2 rounds
23Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB4322–2151%-0.02
infernoB209–1145%-0.03
ancientC114–736%-0.05
overpassA95–456%-0.02
nukeC73–443%-0.05
anubisA53–260%-0.00
train—20–20%-0.01
vertigo—21–150%-0.08
basalt—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

403Matches
48%Win rate
0.84Avg K/D
61.0ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
4%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5555%0.9314.2
Inferno2642%0.7711.8
Ancient1638%0.7213.2
Anubis1155%0.7713.0
Nuke812%0.5410.8
Overpass771%0.8212.7
Vertigo333%0.5610.7
Dust21100%0.8814.0

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.

13.8%Headshot accuracy
30.2%Accuracy (enemy spotted)
29.0%Spray accuracy
80.3%Counter-strafing
11.1°Preaim
648msReaction time
25.8%T opening success
40.5%CT opening success
0.65Enemies flashed / flash
7.5%Flash assists
8.03HE damage / grenade
1.68Flashes / 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 13.8314% — 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 1.6819 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 25.7735% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.046%19 Jun →
overpass13–80.0317%15 Feb →
mirage13–5-0.077%15 Feb →
inferno9–13-0.0617%30 Jan →
train10–13-0.0419%30 Nov →
basalt13–50.0119%17 Nov →
train9–130.0221%17 Nov →
inferno13–6-0.079%22 Oct →
nuke8–13-0.0410%21 Oct →
inferno6–13-0.0618%21 Oct →
inferno13–16-0.0114%15 Oct →
ancient13–11-0.0910%6 Oct →
inferno3–13-0.0729%6 Oct →
mirage11–13-0.046%5 Oct →
nuke13–5-0.0415%5 Oct →
inferno7–9-0.047%5 Oct →
inferno15–150.0514%5 Oct →
ancient13–16-0.1217%5 Oct →
inferno12–120.0113%4 Oct →
mirage12–30.0015%17 Aug →
mirage13–11-0.0519%14 Apr →
mirage13–40.0117%14 Apr →
nuke14–16-0.0518%14 Apr →
mirage13–100.005%13 Apr →
mirage13–8-0.0414%23 Dec →
nuke10–13-0.0518%23 Dec →
mirage13–11-0.0511%14 Dec →
mirage11–13-0.0416%3 Dec →
inferno13–9-0.038%3 Dec →
mirage13–60.037%3 Dec →
inferno10–130.028%3 Dec →
vertigo7–13-0.120%2 Dec →
mirage13–30.0414%2 Dec →
ancient10–13-0.0821%2 Dec →
inferno13–60.0314%2 Dec →
mirage13–30.1014%2 Dec →
anubis13–11-0.008%2 Dec →
mirage14–16-0.0112%2 Dec →
mirage4–13-0.0012%2 Dec →
overpass10–13-0.0510%2 Dec →
mirage13–16-0.0825%1 Dec →
mirage16–120.0420%28 Nov →
ancient13–16-0.0717%27 Nov →
mirage5–13-0.0021%27 Nov →
mirage10–130.0217%24 Nov →
overpass8–13-0.102%24 Nov →
ancient16–130.0015%24 Nov →
mirage13–9-0.0316%24 Nov →
inferno13–9-0.0612%19 Nov →
mirage9–13-0.0310%19 Nov →
inferno2–13-0.108%19 Nov →
mirage8–130.0213%19 Nov →
overpass13–3-0.0512%19 Nov →
ancient13–90.0112%19 Nov →
mirage13–100.067%18 Nov →
inferno13–2-0.0019%17 Nov →
mirage5–13-0.1014%17 Nov →
mirage13–7-0.0314%11 Nov →
overpass13–60.047%11 Nov →
mirage14–16-0.0414%11 Nov →
mirage9–13-0.0312%7 Nov →
mirage8–13-0.0815%6 Nov →
anubis15–19-0.044%6 Nov →
mirage13–90.0018%3 Nov →
inferno13–16-0.059%3 Nov →
mirage13–9-0.0513%3 Nov →
inferno13–80.0313%2 Nov →
mirage16–140.0414%31 Oct →
overpass13–30.0111%31 Oct →
overpass19–170.0011%27 Oct →
mirage9–10-0.0316%27 Oct →
mirage20–22-0.0212%27 Oct →
inferno13–7-0.076%22 Oct →
ancient10–13-0.0917%22 Oct →
mirage16–120.0910%20 Oct →
anubis13–90.0417%20 Oct →
vertigo16–12-0.0313%16 Oct →
anubis13–110.0221%16 Oct →
ancient9–13-0.0818%16 Oct →
mirage16–14-0.0511%13 Oct →
mirage2–13-0.118%13 Oct →
ancient18–22-0.056%13 Oct →
inferno13–70.0118%13 Oct →
nuke7–13-0.0912%13 Oct →
mirage11–13-0.0511%8 Oct →
mirage11–13-0.0311%7 Oct →
mirage13–50.0720%7 Oct →
mirage13–11-0.009%4 Oct →
overpass13–16-0.0715%13 Sept →
mirage8–13-0.0612%13 Sept →
anubis4–13-0.0326%13 Sept →
mirage5–13-0.0715%13 Sept →
nuke13–5-0.0421%13 Sept →
mirage7–13-0.0127%11 Sept →
inferno8–13-0.0911%11 Sept →
ancient15–15-0.037%11 Sept →
inferno16–13-0.0210%10 Sept →
ancient13–10-0.025%10 Sept →
overpass3–13-0.003%10 Sept →
nuke16–14-0.008%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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