HannaBanana — CS2 Stats

76561199820133247[U:1:1859867519]Steam profile ↗✓ No bans

1,228Tracked matches50%Win rate2025Tracked since

CSDB Rating3.3 LearningSupport

Premier CS Rating6,438Light Blue band · top ~71.9% of ranked players (population est.)

CSDB Leaderboard#198450 of 259259 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 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: 6,438 +464 26 Aug – 31 Oct · 31 days played

6,619Peak Premier in tracked matches

592Highest Faceit ELO seen on CSDB

37Days played since 2026-08-26

Premier CS Rating

145 below peak (6,583)
+1,542 over 30 days · improving
Next: Blue band at 10,000 — 3,562 to go
Reached: Light Blue band
Light Blue band first seen 2026-08-31

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

Aim22

Positioning22

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY37–59–4Last 10037%Win rateLWLWLWWWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.7pp headshot accuracy · −46ms reaction

Win rate 0pp 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

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 10%
Avg reaction 605ms

Last 10

5–5 · 50% win rate
Avg rating -0.06
Avg headshot accuracy 8%
Avg reaction 674ms

Last 20

10–10 · 50% win rate
Avg rating -0.06
Avg headshot accuracy 9%
Avg reaction 697ms

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 (+3.6 against its own average).

Aim2.2

Utility6.4

Positioning2.2

Opening Duels0.0

Clutch2.6

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 ZywOo 57% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 699ms 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

Aim2.2

Positioning2.2

Utility6.4

Mechanics7.3

Opening Duels0.0

Win Impact5.0

Composite 3.3/10 (Learning), 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 rating-0.06+0.00

first ⅓ avg -0.06 → last ⅓ avg -0.06

Reaction time699ms−20ms

first ⅓ avg 719ms → last ⅓ avg 699ms

Headshot accuracy9.4%−1.6%

first ⅓ avg 11.0% → last ⅓ avg 9.4%

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

0.04Best match rating · 9–2 · dust2, 22 Oct →

50%Best headshot accuracy · 9–1 · inferno, 27 Aug →

469msFastest reaction time · 13–10 · inferno, 31 Oct →

13–2Biggest win · cache, 29 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 57% over 14mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	25	8–17	32%	-0.07
inferno	C	19	8–11	42%	-0.06
nuke	D	19	6–13	32%	-0.08
cache	A	14	8–6	57%	-0.06
mirage	D	8	2–6	25%	-0.05
anubis	A	7	4–3	57%	-0.06
vertigo	—	4	0–4	0%	-0.07
ancient	—	2	0–2	0%	-0.09
poseidon	—	1	0–1	0%	-0.17
overpass	—	1	1–0	100%	-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches

62%Win rate

0.58Avg K/D

48.3ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

14%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	57%	0.44	7.7
Mirage	4	25%	0.54	8.8
Inferno	3	100%	0.73	10.0
Nuke	2	100%	0.92	8.5

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.

9.3%Headshot accuracy

28.5%Accuracy (enemy spotted)

28.2%Spray accuracy

83.0%Counter-strafing

14.0°Preaim

699msReaction time

23.6%T opening success

19.5%CT opening success

0.67Enemies flashed / flash

4.3%Flash assists

7.56HE damage / grenade

7.88Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.0232° — above the 12° mark we flag
Aim Training →
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 9.293% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	-0.07	0%	31 Oct →
inferno	13–10	-0.05	9%	31 Oct →
dust2	9–13	-0.02	14%	31 Oct →
inferno	13–5	-0.01	21%	31 Oct →
nuke	6–13	-0.07	4%	30 Oct →
nuke	13–10	-0.07	13%	30 Oct →
nuke	13–9	-0.09	7%	30 Oct →
cache	13–2	-0.06	0%	29 Oct →
anubis	4–13	-0.09	4%	29 Oct →
nuke	11–13	-0.09	12%	29 Oct →
cache	13–6	-0.03	17%	29 Oct →
nuke	10–13	-0.04	8%	28 Oct →
mirage	13–10	-0.02	12%	28 Oct →
mirage	10–13	-0.05	15%	27 Oct →
nuke	3–13	-0.08	6%	26 Oct →
dust2	13–5	-0.08	8%	26 Oct →
cache	13–9	-0.09	0%	23 Oct →
cache	10–13	-0.08	9%	23 Oct →
dust2	13–6	-0.04	13%	23 Oct →
inferno	11–13	-0.08	13%	22 Oct →
dust2	9–2	0.04	8%	22 Oct →
anubis	13–7	-0.02	4%	22 Oct →
mirage	9–13	-0.07	8%	21 Oct →
cache	10–13	-0.02	3%	20 Oct →
nuke	6–13	-0.09	6%	18 Oct →
cache	7–13	-0.10	17%	17 Oct →
dust2	8–13	-0.13	15%	4 Oct →
dust2	13–11	-0.03	15%	4 Oct →
nuke	16–14	-0.06	7%	3 Oct →
inferno	13–9	-0.03	7%	3 Oct →
inferno	9–13	-0.02	21%	30 Sept →
dust2	13–10	-0.07	0%	30 Sept →
ancient	2–13	-0.09	14%	30 Sept →
dust2	7–13	-0.05	14%	30 Sept →
dust2	13–6	-0.06	10%	30 Sept →
dust2	11–13	-0.08	12%	29 Sept →
nuke	13–11	-0.05	0%	29 Sept →
inferno	3–13	-0.11	5%	29 Sept →
mirage	5–13	-0.08	5%	27 Sept →
dust2	9–13	-0.08	19%	27 Sept →
ancient	10–13	-0.09	20%	27 Sept →
cache	13–7	-0.07	11%	25 Sept →
vertigo	12–12	-0.08	5%	23 Sept →
vertigo	0–9	-0.10	15%	23 Sept →
dust2	11–13	-0.11	18%	21 Sept →
nuke	13–9	-0.12	20%	20 Sept →
mirage	3–13	-0.07	11%	20 Sept →
mirage	4–13	-0.02	2%	17 Sept →
nuke	7–13	-0.09	20%	17 Sept →
dust2	6–13	-0.07	13%	17 Sept →
vertigo	12–12	-0.08	11%	16 Sept →
anubis	13–3	-0.11	0%	16 Sept →
anubis	13–5	0.03	13%	16 Sept →
dust2	11–13	-0.02	8%	15 Sept →
nuke	14–16	-0.11	13%	15 Sept →
dust2	6–13	-0.06	11%	14 Sept →
dust2	4–13	-0.07	17%	14 Sept →
nuke	5–13	-0.02	15%	13 Sept →
inferno	8–13	-0.03	14%	13 Sept →
anubis	5–13	-0.11	16%	10 Sept →
inferno	7–13	-0.08	5%	10 Sept →
inferno	13–10	-0.04	5%	10 Sept →
poseidon	5–9	-0.17	6%	9 Sept →
inferno	3–9	-0.20	0%	9 Sept →
nuke	2–9	-0.19	8%	9 Sept →
anubis	13–10	-0.09	9%	9 Sept →
dust2	3–13	-0.08	19%	9 Sept →
dust2	1–13	-0.10	14%	9 Sept →
nuke	2–13	-0.07	14%	9 Sept →
nuke	16–12	-0.08	8%	8 Sept →
dust2	9–13	-0.08	8%	8 Sept →
cache	10–13	-0.08	8%	8 Sept →
cache	13–10	-0.09	8%	7 Sept →
dust2	2–13	-0.09	19%	1 Sept →
inferno	16–14	-0.11	9%	1 Sept →
nuke	3–13	-0.06	10%	1 Sept →
inferno	9–13	-0.11	14%	31 Aug →
cache	13–10	0.01	8%	31 Aug →
dust2	7–13	-0.12	0%	31 Aug →
dust2	13–10	-0.07	7%	30 Aug →
nuke	7–13	-0.00	8%	30 Aug →
inferno	13–10	-0.03	3%	30 Aug →
mirage	5–13	-0.06	6%	29 Aug →
dust2	10–13	-0.03	8%	29 Aug →
cache	1–13	-0.04	19%	28 Aug →
mirage	13–10	-0.01	11%	28 Aug →
cache	13–8	-0.06	9%	28 Aug →
inferno	13–5	-0.04	8%	28 Aug →
overpass	9–4	-0.11	27%	28 Aug →
inferno	8–8	-0.02	17%	27 Aug →
dust2	12–16	-0.10	16%	27 Aug →
anubis	8–13	-0.05	5%	27 Aug →
vertigo	12–12	-0.01	10%	27 Aug →
inferno	9–1	-0.05	50%	27 Aug →
cache	13–3	-0.00	9%	27 Aug →
inferno	9–13	-0.05	9%	26 Aug →
dust2	13–11	-0.06	6%	26 Aug →
inferno	2–13	-0.10	0%	26 Aug →
cache	8–13	-0.09	9%	26 Aug →
nuke	1–13	-0.06	10%	26 Aug →