Hanna NOT a Banana 🍌 — CS2 Stats

US76561199089142797[U:1:1128877069]Steam profile ↗✓ No bans

1,708Tracked matches28%Win rate2021Tracked since

CSDB Rating5.3 DevelopingPositional Player

CSDB Leaderboard#67154 of 252276 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 1,708

−13.8ppWin rate · 41.4% → 27.6%

Rating over time

Premier CS Rating: 21,029 +154 1 Aug – 10 Sept · 6 days played

21,913Peak Premier in tracked matches

38Days played since 2026-06-23

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

Share this profile

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

Aim77

Positioning47

Utility32

0–100 skill scores via Leetify.

Recent form

COLD35–57–8Last 10035%Win rateLLLLLTWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · +71ms 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

0–5 · 0% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 698ms

Last 10

1–8–1 · 10% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 654ms

Last 20

3–16–1 · 15% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 618ms

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 (+2.3 against its own average).

Aim7.7

Utility3.2

Positioning4.7

Opening Duels1.9

Clutch0.0

Excellent counter-strafingLimited 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

Plays most like ropz 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

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

Reaction time. 620ms 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

Aim7.7

Positioning4.7

Utility3.2

Mechanics9.1

Opening Duels2.0

Win Impact0.0

Composite 5.3/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time616ms−21ms

first ⅓ avg 637ms → last ⅓ avg 616ms

Headshot accuracy12.6%+0.0%

first ⅓ avg 12.6% → last ⅓ avg 12.6%

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

0.16Best match rating · 13–9 · mirage, 13 Jul →

36%Best headshot accuracy · 2–9 · debris, 17 Jul →

422msFastest reaction time · 1–13 · shelter, 15 Jul →

13–0Biggest win · mirage, 1 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak

L5Current streak

6–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 53% over 17ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	24	8–16	33%	-0.01
cache	B	17	9–8	53%	0.00
mirage	D	14	4–10	29%	0.00
ancient	D	11	3–8	27%	-0.01
inferno	C	8	3–5	38%	-0.02
nuke	C	8	3–5	38%	-0.03
anubis	—	4	0–4	0%	0.01
train	—	3	3–0	100%	0.03
vertigo	—	2	1–1	50%	0.03
shelter	—	2	0–2	0%	-0.06
italy	—	2	0–2	0%	-0.03
overpass	—	1	0–1	0%	-0.04
poseidon	—	1	1–0	100%	0.07
debris	—	1	0–1	0%	-0.17
boulder	—	1	0–1	0%	0.07
fachwerk	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches

53%Win rate

1.02Avg K/D

78.9ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	2	0%	0.86	16.0
Nuke	2	100%	1.12	14.5
Mirage	2	50%	0.83	14.0

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.

12.7%Headshot accuracy

38.6%Accuracy (enemy spotted)

42.3%Spray accuracy

91.0%Counter-strafing

9.7°Preaim

620msReaction time

39.6%T opening success

36.1%CT opening success

0.32Enemies flashed / flash

5.9%Flash assists

13.61HE damage / grenade

1.10Flashes / 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 12.658% — below the 15% mark we flag
Aim Training →
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 0.3151 — 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 39.5505% — 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.

27% 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

Map	Score	Rating	HS%	Date
cache	8–13	-0.09	4%	28 Sept →
inferno	11–13	-0.02	14%	28 Sept →
dust2	5–13	-0.06	20%	28 Sept →
dust2	7–13	-0.01	12%	27 Sept →
mirage	10–13	0.03	18%	25 Sept →
mirage	12–12	0.03	12%	24 Sept →
vertigo	13–5	0.04	8%	24 Sept →
dust2	8–13	-0.02	7%	24 Sept →
ancient	6–13	-0.07	8%	12 Sept →
dust2	9–13	0.06	14%	12 Sept →
anubis	10–13	0.10	15%	2 Sept →
inferno	5–13	-0.04	8%	31 Aug →
mirage	11–13	-0.08	10%	31 Aug →
dust2	9–13	-0.01	21%	31 Aug →
ancient	4–13	-0.06	11%	31 Aug →
dust2	13–11	-0.04	9%	30 Aug →
cache	13–5	0.00	8%	30 Aug →
mirage	9–13	-0.08	5%	21 Aug →
dust2	10–13	-0.05	18%	17 Aug →
ancient	9–13	0.05	17%	17 Aug →
train	13–4	0.01	18%	8 Aug →
mirage	7–13	0.01	15%	7 Aug →
cache	13–10	0.09	13%	4 Aug →
cache	13–8	-0.03	18%	4 Aug →
dust2	13–7	0.04	17%	3 Aug →
overpass	6–13	-0.04	8%	3 Aug →
train	13–5	0.09	18%	2 Aug →
mirage	8–13	0.03	13%	2 Aug →
ancient	4–13	-0.04	10%	2 Aug →
anubis	4–13	0.03	8%	2 Aug →
mirage	3–13	-0.02	5%	2 Aug →
nuke	13–4	-0.00	13%	2 Aug →
nuke	7–13	-0.04	21%	1 Aug →
nuke	13–2	-0.01	8%	1 Aug →
dust2	13–6	-0.03	10%	1 Aug →
ancient	6–13	0.16	12%	31 Jul →
dust2	12–12	0.05	15%	31 Jul →
dust2	4–13	-0.01	14%	29 Jul →
cache	13–8	0.00	13%	29 Jul →
cache	13–4	0.08	13%	29 Jul →
ancient	13–9	-0.03	8%	29 Jul →
mirage	5–13	-0.03	3%	29 Jul →
dust2	13–11	0.01	15%	28 Jul →
dust2	9–13	-0.07	9%	23 Jul →
dust2	13–10	-0.03	16%	20 Jul →
dust2	13–8	-0.02	15%	19 Jul →
ancient	6–13	-0.06	7%	19 Jul →
cache	13–11	0.07	12%	19 Jul →
cache	10–13	0.01	8%	19 Jul →
mirage	5–13	-0.02	10%	18 Jul →
cache	16–13	0.03	13%	18 Jul →
inferno	12–16	0.03	11%	18 Jul →
poseidon	9–7	0.07	13%	17 Jul →
debris	2–9	-0.17	36%	17 Jul →
cache	13–4	0.02	19%	17 Jul →
nuke	1–13	-0.07	8%	17 Jul →
dust2	9–13	0.04	23%	17 Jul →
ancient	13–1	-0.02	4%	17 Jul →
shelter	1–13	-0.06	12%	15 Jul →
dust2	7–13	-0.02	13%	14 Jul →
nuke	12–12	-0.02	13%	13 Jul →
mirage	13–9	0.16	16%	13 Jul →
dust2	8–13	0.04	20%	13 Jul →
ancient	7–0	0.02	11%	13 Jul →
boulder	12–12	0.07	8%	12 Jul →
shelter	5–13	-0.06	17%	12 Jul →
dust2	9–13	-0.07	11%	12 Jul →
nuke	4–13	-0.04	7%	9 Jul →
fachwerk	12–12	0.01	13%	9 Jul →
italy	3–13	-0.03	14%	7 Jul →
anubis	9–13	-0.02	13%	7 Jul →
cache	8–13	-0.00	15%	7 Jul →
mirage	10–13	-0.04	19%	6 Jul →
cache	13–7	0.08	9%	6 Jul →
dust2	13–5	0.00	12%	6 Jul →
anubis	7–13	-0.06	11%	6 Jul →
inferno	13–10	-0.02	10%	6 Jul →
inferno	16–14	0.00	15%	6 Jul →
inferno	13–7	0.01	15%	5 Jul →
dust2	7–13	-0.09	5%	5 Jul →
inferno	2–13	-0.07	13%	3 Jul →
dust2	13–4	0.12	19%	3 Jul →
cache	4–13	-0.05	11%	3 Jul →
nuke	6–13	-0.03	13%	3 Jul →
cache	6–13	-0.06	11%	3 Jul →
cache	10–13	-0.02	15%	2 Jul →
nuke	13–9	-0.04	17%	2 Jul →
train	13–8	0.00	19%	2 Jul →
mirage	13–5	0.04	6%	2 Jul →
ancient	8–13	-0.05	10%	1 Jul →
cache	3–13	-0.01	20%	1 Jul →
italy	11–13	-0.03	14%	1 Jul →
mirage	13–0	0.04	9%	1 Jul →
dust2	12–12	0.00	15%	1 Jul →
vertigo	7–13	0.03	9%	30 Jun →
inferno	12–12	-0.08	8%	25 Jun →
cache	12–12	-0.07	11%	25 Jun →
dust2	5–13	-0.06	10%	23 Jun →
ancient	8–13	0.00	11%	23 Jun →
mirage	13–11	-0.03	18%	23 Jun →