banono77 🍌 — CS2 Stats

BE76561197986928315[U:1:26662587]Steam profile ↗✓ No bans

1,408Tracked matches35%Win rate2020Tracked since

CSDB Rating4.2 DevelopingClutch Specialist

Premier CS Rating9,150Light Blue band · top ~59% of ranked players (population est.)

CSDB Leaderboard#180403 of 247874 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 9,150 -487 25 Aug – 30 Sept · 4 days played

9,637Peak Premier in tracked matches

60Days played since 2026-05-11

Premier CS Rating

487 below peak (9,637)
-372 over 30 days · steady
Next: Blue band at 10,000 — 850 to go
Reached: Light Blue band

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

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Performance scores

Aim74

Positioning45

Utility34

0–100 skill scores via Leetify.

Recent form

COLD38–53–9Last 10038%Win rateWLLLWLLLLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −7.1pp headshot accuracy · +4ms reaction

Win rate down 30pp 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

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 24%
Avg reaction 462ms

Last 10

2–8 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 20%
Avg reaction 518ms

Last 20

7–11–2 · 35% win rate
Avg rating 0.04
Avg headshot accuracy 24%
Avg reaction 516ms

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 (+3.6 against its own average).

Aim7.4

Utility3.4

Positioning4.5

Opening Duels1.7

Clutch8.0

Limited utility dependenceReliable in 1v1s

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 sh1ro 96% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

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

T-side openings. Opening success drops from 42% on CT to 26% 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

Aim7.4

Positioning4.5

Utility3.4

Mechanics5.9

Opening Duels1.5

Win Impact0.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time545ms−22ms

first ⅓ avg 567ms → last ⅓ avg 545ms

Headshot accuracy22.7%+0.5%

first ⅓ avg 22.3% → last ⅓ avg 22.7%

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

0.27Best match rating · 13–10 · office, 5 Aug →

47%Best headshot accuracy · 4–13 · mirage, 26 Aug →

359msFastest reaction time · 10–13 · office, 23 Sept →

13–1Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 46% over 13dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
office	C	44	17–27	39%	0.04
inferno	B	13	6–7	46%	0.06
cache	D	13	4–9	31%	0.02
nuke	D	8	2–6	25%	0.05
dust2	D	5	1–4	20%	0.00
vertigo	—	3	2–1	67%	-0.01
ancient	—	3	0–3	0%	0.03
mirage	—	2	1–1	50%	0.02
fachwerk	—	2	2–0	100%	-0.03
anubis	—	1	0–1	0%	-0.07
eldorado	—	1	1–0	100%	-0.05
debris	—	1	0–1	0%	-0.07
poseidon	—	1	1–0	100%	0.26
shelter	—	1	0–1	0%	-0.00
boulder	—	1	1–0	100%	-0.00
italy	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches

33%Win rate

1.00Avg K/D

71.2ADR

48%Headshot %

Clutches & streaks

60%1v1 clutch win

9%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	50%	1.02	17.5
Dust2	1	0%	0.86	18.0
Inferno	1	0%	0.35	6.0
Vertigo	1	0%	1.56	25.0
Ancient	1	100%	1.23	16.0

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.

23.2%Headshot accuracy

32.1%Accuracy (enemy spotted)

37.6%Spray accuracy

76.4%Counter-strafing

10.0°Preaim

540msReaction time

26.0%T opening success

42.1%CT opening success

0.46Enemies flashed / flash

14.4%Flash assists

6.53HE damage / grenade

3.70Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4612 — below the 0.5 mark we flag
Grenade Lineups →
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 26.0262% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–1	0.16	19%	30 Sept →
dust2	9–13	0.01	19%	30 Sept →
office	5–13	0.08	27%	30 Sept →
office	10–13	-0.06	24%	23 Sept →
vertigo	13–11	0.02	31%	23 Sept →
vertigo	3–13	-0.07	13%	23 Sept →
cache	3–13	-0.12	11%	20 Sept →
office	9–13	0.04	24%	20 Sept →
office	2–13	0.01	11%	19 Sept →
office	3–13	0.03	26%	19 Sept →
office	12–12	0.07	43%	19 Sept →
office	13–7	0.02	21%	16 Sept →
office	9–13	-0.04	19%	15 Sept →
nuke	13–16	0.01	21%	9 Sept →
office	12–12	0.09	35%	2 Sept →
office	13–4	0.20	40%	2 Sept →
cache	13–9	0.11	24%	31 Aug →
cache	13–2	0.18	14%	31 Aug →
office	13–9	-0.02	12%	31 Aug →
mirage	4–13	-0.01	47%	26 Aug →
cache	13–8	0.02	17%	25 Aug →
fachwerk	13–3	-0.02	12%	24 Aug →
office	3–13	-0.00	26%	24 Aug →
office	3–13	-0.07	16%	23 Aug →
nuke	14–16	0.03	13%	22 Aug →
cache	7–13	-0.04	27%	22 Aug →
office	12–12	0.08	38%	22 Aug →
anubis	8–13	-0.07	11%	21 Aug →
cache	4–13	-0.01	10%	21 Aug →
office	12–12	0.07	32%	18 Aug →
office	13–9	0.08	23%	16 Aug →
office	3–13	-0.05	25%	16 Aug →
office	10–13	-0.06	21%	14 Aug →
eldorado	9–6	-0.05	14%	13 Aug →
debris	5–9	-0.07	28%	13 Aug →
poseidon	9–2	0.26	30%	13 Aug →
inferno	3–13	-0.05	21%	12 Aug →
ancient	5–13	-0.00	19%	12 Aug →
office	7–13	0.00	21%	11 Aug →
vertigo	13–11	0.01	14%	11 Aug →
inferno	0–13	-0.03	16%	11 Aug →
office	13–10	0.05	24%	11 Aug →
dust2	9–13	-0.04	10%	10 Aug →
dust2	13–9	0.12	26%	8 Aug →
inferno	13–10	0.08	20%	8 Aug →
inferno	13–10	0.08	18%	7 Aug →
inferno	13–10	0.09	18%	6 Aug →
nuke	9–13	0.10	30%	6 Aug →
cache	7–13	-0.01	28%	6 Aug →
office	13–10	0.27	27%	5 Aug →
cache	6–13	0.09	25%	4 Aug →
office	9–13	-0.06	9%	31 Jul →
inferno	8–13	0.04	13%	26 Jul →
cache	16–13	0.04	12%	26 Jul →
ancient	4–13	0.04	11%	25 Jul →
dust2	7–13	-0.03	25%	25 Jul →
office	13–5	0.16	29%	25 Jul →
cache	4–13	0.05	10%	24 Jul →
nuke	3–13	0.04	10%	24 Jul →
dust2	5–13	-0.05	6%	23 Jul →
cache	1–13	-0.06	17%	22 Jul →
nuke	16–12	0.02	22%	22 Jul →
inferno	13–4	0.20	17%	22 Jul →
office	3–13	-0.04	18%	20 Jul →
inferno	16–14	0.07	18%	16 Jul →
ancient	4–13	0.04	19%	16 Jul →
inferno	6–13	0.04	12%	16 Jul →
mirage	16–12	0.06	11%	15 Jul →
nuke	11–13	0.14	13%	15 Jul →
inferno	8–13	0.14	19%	15 Jul →
office	13–10	0.05	8%	14 Jul →
shelter	8–13	-0.00	15%	12 Jul →
office	13–5	0.01	17%	10 Jul →
fachwerk	13–10	-0.03	19%	9 Jul →
boulder	13–4	-0.00	15%	9 Jul →
italy	11–13	0.03	21%	8 Jul →
office	10–13	0.11	33%	8 Jul →
office	13–6	0.02	39%	7 Jul →
office	12–12	0.17	24%	3 Jul →
office	12–12	0.01	43%	2 Jul →
office	13–7	0.09	31%	1 Jul →
office	8–13	-0.10	21%	24 Jun →
office	13–11	0.15	24%	20 Jun →
office	7–13	-0.01	14%	20 Jun →
office	3–13	0.04	31%	19 Jun →
office	13–11	0.08	18%	16 Jun →
office	12–12	0.06	22%	14 Jun →
office	12–12	-0.01	21%	3 Jun →
office	7–13	0.01	28%	30 May →
office	13–5	-0.03	29%	27 May →
inferno	12–12	0.00	6%	25 May →
nuke	4–13	-0.00	23%	23 May →
office	5–13	-0.02	19%	22 May →
office	13–8	0.11	23%	20 May →
office	13–11	-0.01	33%	20 May →
inferno	7–9	-0.02	22%	19 May →
office	13–6	-0.04	17%	13 May →
cache	4–13	0.00	30%	11 May →
cache	3–13	-0.03	17%	11 May →
nuke	13–8	0.03	25%	11 May →