bilbo boilings 🐔 — CS2 Stats

76561198078548282[U:1:118282554]Steam profile ↗✓ No bans

3,511Tracked matches67%Win rate2020Tracked since

CSDB Rating6.8 SolidSupport

CSDB Leaderboard#236304 of 251762 tracked

FaceitLevel 8 · 1,542 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,542 → 1,542

+17Tracked matches · now 3,511

+6.7ppWin rate · 60.0% → 66.7%

Rating over time

Premier CS Rating: 23,506 +71 6 Apr – 14 Jun · 9 days played

24,786Peak Premier in tracked matches

1,542Highest Faceit ELO seen on CSDB

35Days played since 2026-03-25

Faceit ELO

At peak — 1,542
Next: Level 9 at 1,751 — 209 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-09-18
Level 7 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.

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Performance scores

Aim81

Positioning58

Utility78

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWWWWWWWLWL

Last 10 vs previous 10: +40pp win rate · −0.03 avg rating · +1.4pp headshot accuracy · +20ms reaction

Win rate up 40pp 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

5–0 · 100% win rate
Avg rating 0.03
Avg headshot accuracy 14%
Avg reaction 470ms

Last 10

8–2 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 530ms

Last 20

12–8 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 15%
Avg reaction 520ms

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 (+2.1 against its own average).

Aim8.1

Utility7.8

Positioning5.8

Opening Duels5.0

Clutch4.4

Strong CT-side openerEffective flashesHigh utility contribution

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

Plays most like NiKo 79% playstyle similarity

Most alike: opening-duel success, 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

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning5.8

Utility7.8

Mechanics6.1

Opening Duels4.8

Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time528ms−70ms

first ⅓ avg 598ms → last ⅓ avg 528ms

Headshot accuracy14.6%+0.4%

first ⅓ avg 14.2% → last ⅓ avg 14.6%

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

0.20Best match rating · 13–2 · inferno, 14 Apr →

33%Best headshot accuracy · 13–4 · dust2, 24 May →

344msFastest reaction time · 13–6 · inferno, 26 Aug →

13–1Biggest win · nuke, 30 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W7Current streak

12–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 78% over 18ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	26	17–9	65%	0.02
nuke	S	18	14–4	78%	0.05
ancient	C	16	6–10	38%	0.01
cache	C	16	7–9	44%	0.02
inferno	S	12	8–4	67%	0.03
mirage	B	8	4–4	50%	0.02
vertigo	—	2	1–1	50%	-0.01
overpass	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

804Matches

53%Win rate

1.13Avg K/D

79.1ADR

34%Headshot %

Clutches & streaks

42%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	103	67%	1.25	15.3
Dust2	96	56%	1.18	15.4
Ancient	73	53%	1.08	14.8
Mirage	66	44%	1.01	14.2
Inferno	60	47%	1.13	14.6
Anubis	43	42%	0.85	13.7
Vertigo	40	55%	1.07	14.4
Overpass	15	73%	1.13	15.0

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.

14.8%Headshot accuracy

37.9%Accuracy (enemy spotted)

42.6%Spray accuracy

77.6%Counter-strafing

8.8°Preaim

518msReaction time

21.9%T opening success

68.6%CT opening success

0.86Enemies flashed / flash

9.4%Flash assists

16.23HE damage / grenade

14.19Flashes / 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.

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 14.802% — below the 15% mark we flag
Aim Training →
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 21.87% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–4	0.04	19%	8 Oct →
mirage	13–11	0.03	16%	8 Oct →
vertigo	13–6	-0.06	8%	6 Oct →
mirage	13–8	-0.01	13%	6 Oct →
nuke	13–3	0.12	14%	1 Oct →
inferno	13–10	-0.02	18%	1 Oct →
dust2	13–3	0.07	18%	1 Oct →
dust2	10–13	0.06	7%	27 Sept →
dust2	13–11	0.03	14%	24 Sept →
mirage	8–13	-0.02	28%	24 Sept →
ancient	10–13	0.04	16%	24 Sept →
dust2	13–10	0.04	16%	20 Sept →
nuke	13–4	0.05	13%	20 Sept →
cache	9–13	0.07	11%	13 Sept →
cache	10–13	0.05	11%	13 Sept →
ancient	13–7	0.09	9%	13 Sept →
dust2	7–13	0.02	15%	4 Sept →
mirage	4–13	0.01	13%	4 Sept →
cache	13–7	0.13	17%	4 Sept →
vertigo	11–13	0.03	21%	4 Sept →
ancient	16–14	0.02	10%	26 Aug →
inferno	13–6	0.05	17%	26 Aug →
cache	13–9	0.06	13%	26 Aug →
dust2	13–11	0.04	22%	23 Aug →
nuke	13–2	0.08	15%	23 Aug →
dust2	13–6	0.03	12%	23 Aug →
ancient	6–13	-0.05	3%	1 Aug →
nuke	16–13	0.04	9%	31 Jul →
ancient	8–13	0.06	20%	31 Jul →
dust2	13–7	0.01	32%	31 Jul →
dust2	13–11	0.02	18%	31 Jul →
nuke	4–13	-0.01	11%	31 Jul →
cache	5–13	-0.02	5%	31 Jul →
nuke	13–1	0.10	13%	30 Jul →
cache	13–7	0.03	8%	30 Jul →
inferno	7–13	-0.04	4%	30 Jul →
dust2	13–10	-0.04	17%	30 Jul →
dust2	9–13	-0.00	5%	24 Jul →
inferno	13–7	0.03	10%	24 Jul →
dust2	13–9	-0.00	15%	21 Jul →
cache	11–13	-0.01	11%	21 Jul →
dust2	13–5	-0.05	8%	21 Jul →
nuke	13–1	0.10	9%	19 Jul →
cache	13–11	-0.03	6%	19 Jul →
dust2	9–13	0.09	16%	19 Jul →
dust2	10–13	-0.06	6%	8 Jul →
nuke	13–8	0.02	11%	8 Jul →
cache	10–13	0.04	15%	8 Jul →
nuke	13–16	0.01	9%	2 Jul →
cache	13–6	0.02	11%	2 Jul →
ancient	11–13	0.01	5%	25 Jun →
inferno	13–11	0.04	10%	25 Jun →
ancient	6–13	-0.04	17%	14 Jun →
nuke	13–10	0.03	13%	14 Jun →
dust2	3–13	-0.05	15%	14 Jun →
dust2	9–13	0.03	22%	1 Jun →
ancient	13–10	0.07	9%	1 Jun →
dust2	13–6	0.01	10%	1 Jun →
inferno	4–13	-0.07	23%	1 Jun →
mirage	13–9	0.02	13%	24 May →
dust2	13–4	0.08	33%	24 May →
nuke	10–13	0.04	7%	24 May →
ancient	13–6	0.06	11%	24 May →
dust2	13–11	0.04	18%	12 May →
nuke	13–7	0.09	15%	12 May →
ancient	11–13	0.02	9%	5 May →
inferno	13–5	0.02	19%	5 May →
cache	13–5	0.08	15%	5 May →
cache	7–13	-0.05	8%	3 May →
cache	7–13	-0.06	14%	3 May →
cache	11–13	-0.02	6%	3 May →
cache	0–13	-0.04	10%	3 May →
cache	13–9	0.12	13%	29 Apr →
ancient	7–13	-0.03	14%	26 Apr →
mirage	14–16	0.03	13%	24 Apr →
ancient	3–13	-0.02	17%	24 Apr →
inferno	14–16	-0.04	8%	24 Apr →
inferno	9–13	0.05	18%	15 Apr →
nuke	13–5	0.02	16%	15 Apr →
nuke	7–13	-0.01	15%	15 Apr →
dust2	13–11	-0.02	11%	15 Apr →
nuke	13–9	-0.05	11%	14 Apr →
inferno	13–2	0.20	28%	14 Apr →
nuke	13–5	0.06	23%	14 Apr →
ancient	10–13	-0.01	7%	14 Apr →
overpass	13–6	0.06	9%	12 Apr →
nuke	13–10	0.04	11%	12 Apr →
dust2	11–13	-0.04	15%	12 Apr →
overpass	6–13	-0.04	16%	9 Apr →
nuke	13–2	0.09	13%	9 Apr →
ancient	13–10	0.07	6%	9 Apr →
inferno	13–11	-0.00	18%	6 Apr →
ancient	6–13	-0.00	20%	6 Apr →
dust2	13–11	0.01	13%	6 Apr →
ancient	13–11	-0.06	11%	6 Apr →
mirage	8–13	0.02	13%	5 Apr →
dust2	9–13	0.01	20%	5 Apr →
dust2	13–7	0.03	24%	25 Mar →
mirage	13–1	0.10	24%	25 Mar →
inferno	13–5	0.08	10%	25 Mar →