HannaBanana — CS2 Stats

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

1,149Tracked matches41%Win rate2025Tracked since

CSDB Rating3.4 Learning

Premier CS Rating6,551Light Blue band · top ~71.4% of ranked players (population est.)

CSDB Leaderboard#42727 of 56657 tracked

FaceitLevel 2 · 592 ELOTop 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning26

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateWLWLLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim3.7

Aggression1.4

Utility6.4

Positioning2.6

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.

Your pro match

Plays most like NiKo 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 704ms 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

Aim3.7

Positioning2.6

Utility6.4

Mechanics6.2

Opening Duels0.0

Win Impact2.1

Composite 3.4/10 (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-0.05+0.01

first ⅓ avg -0.06 → last ⅓ avg -0.05

Reaction time708ms+2ms

first ⅓ avg 706ms → last ⅓ avg 708ms

Headshot accuracy10.8%+1.8%

first ⅓ avg 9.0% → last ⅓ avg 10.8%

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.

Highlights

0.05Best rating — nuke 13–8

13–1Biggest win — mirage

6Longest win streak

8–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 35% over 26

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	9–17	35%	-0.06
dust2	C	20	8–12	40%	-0.06
nuke	C	19	8–11	42%	-0.06
cache	C	14	5–9	36%	-0.06
ancient	A	7	4–3	57%	-0.03
mirage	A	5	3–2	60%	-0.04
anubis	—	3	2–1	67%	-0.06
vertigo	—	3	2–1	67%	-0.01
debris	—	2	0–2	0%	-0.10
overpass	—	1	1–0	100%	-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Inferno 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.

10.2%Headshot accuracy

29.5%Accuracy (enemy spotted)

47.3%Spray accuracy

78.1%Counter-strafing

12.9°Preaim

704msReaction time

18.2%T opening success

28.5%CT opening success

0.66Enemies flashed / flash

4.3%Flash assists

8.78HE damage / grenade

6.28Flashes / 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 12.9444° — 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 10.237% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 704.382ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Inferno

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

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
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 →
inferno	8–8	-0.07	6%	25 Aug →
debris	8–8	-0.04	4%	25 Aug →
vertigo	13–4	-0.05	14%	25 Aug →
nuke	13–10	-0.09	7%	25 Aug →
cache	8–13	-0.06	10%	25 Aug →
nuke	5–13	-0.03	7%	25 Aug →
cache	2–13	-0.07	10%	25 Aug →
nuke	13–11	0.01	10%	25 Aug →
cache	11–13	-0.06	10%	24 Aug →
inferno	11–13	-0.08	16%	23 Aug →
inferno	8–13	-0.07	11%	22 Aug →
cache	13–8	-0.07	6%	22 Aug →
cache	11–13	-0.06	20%	21 Aug →
nuke	8–13	-0.08	6%	20 Aug →
dust2	6–13	-0.05	4%	20 Aug →
dust2	8–13	-0.08	9%	20 Aug →
dust2	2–13	-0.14	11%	19 Aug →
ancient	15–15	-0.03	14%	19 Aug →
inferno	16–14	-0.05	9%	19 Aug →
inferno	7–13	-0.06	8%	18 Aug →
cache	15–15	-0.03	11%	18 Aug →
ancient	16–14	-0.05	7%	18 Aug →
nuke	2–9	-0.10	0%	17 Aug →
dust2	16–13	-0.09	7%	17 Aug →
nuke	13–8	0.05	14%	17 Aug →
cache	13–3	-0.03	21%	17 Aug →
nuke	13–6	-0.05	10%	17 Aug →
inferno	13–3	-0.02	22%	16 Aug →
nuke	13–8	-0.06	5%	16 Aug →
dust2	8–13	-0.08	14%	16 Aug →
inferno	4–13	-0.11	16%	16 Aug →
inferno	7–13	-0.06	17%	14 Aug →
nuke	5–13	-0.09	3%	13 Aug →
ancient	8–13	-0.01	10%	13 Aug →
mirage	15–15	-0.02	4%	12 Aug →
dust2	13–8	-0.07	13%	12 Aug →
inferno	5–13	-0.09	5%	12 Aug →
dust2	6–13	-0.08	17%	11 Aug →
dust2	13–5	-0.01	7%	11 Aug →
nuke	15–15	0.01	13%	11 Aug →
inferno	13–8	-0.05	11%	10 Aug →
ancient	6–13	-0.04	7%	6 Aug →
dust2	1–13	-0.11	0%	6 Aug →
inferno	1–13	-0.09	13%	6 Aug →
nuke	15–15	-0.09	6%	6 Aug →
ancient	13–11	-0.06	11%	5 Aug →
anubis	13–9	-0.09	8%	5 Aug →
ancient	13–8	-0.02	14%	5 Aug →
nuke	6–13	-0.09	8%	4 Aug →
inferno	9–13	-0.10	16%	4 Aug →
inferno	8–13	-0.09	9%	4 Aug →
inferno	4–13	-0.10	2%	4 Aug →
nuke	9–13	-0.06	2%	4 Aug →
inferno	9–13	-0.07	3%	4 Aug →
nuke	13–3	-0.12	6%	4 Aug →
nuke	13–16	-0.06	9%	3 Aug →
inferno	13–3	-0.01	8%	3 Aug →
cache	2–13	-0.12	6%	3 Aug →
dust2	11–13	-0.03	7%	2 Aug →
nuke	13–11	-0.05	8%	2 Aug →
ancient	13–10	-0.02	8%	1 Aug →
dust2	13–6	-0.01	9%	1 Aug →
cache	15–15	-0.05	8%	1 Aug →
vertigo	9–1	0.01	13%	1 Aug →
nuke	9–1	-0.12	20%	1 Aug →
inferno	9–1	0.03	5%	1 Aug →
debris	7–9	-0.16	4%	1 Aug →
anubis	13–10	-0.04	3%	31 Jul →
inferno	13–10	-0.02	16%	31 Jul →
inferno	11–13	-0.08	9%	30 Jul →
dust2	9–13	-0.01	14%	30 Jul →
dust2	3–13	-0.10	14%	29 Jul →
dust2	13–7	-0.03	16%	29 Jul →
cache	13–11	-0.12	11%	29 Jul →
mirage	13–11	-0.07	12%	28 Jul →
mirage	13–1	-0.05	5%	28 Jul →
dust2	2–13	-0.10	3%	28 Jul →
inferno	8–13	-0.06	11%	28 Jul →
dust2	13–8	-0.01	13%	27 Jul →