Cinnaboi — CS2 Stats

76561199568443145[U:1:1608177417]✓ No bans

1,888Tracked matches46%Win rate2024Tracked since

CSDB Rating3.2 Learning

Premier CS Rating13,621Blue band · top ~35.7% of ranked players (population est.)

CSDB Leaderboard#6492 of 9464 tracked

FaceitLevel 3 · 746 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim24

Positioning47

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWLTWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim2.4

Aggression5.3

Utility4.8

Positioning4.7

Opening Duels1.8

Clutch4.0

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 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.4

Positioning4.7

Utility4.8

Mechanics2.7

Opening Duels1.8

Win Impact3.8

Composite 3.2/10 (Learning), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time657ms−2ms

first ⅓ avg 659ms → last ⅓ avg 657ms

Headshot accuracy14.5%−0.4%

first ⅓ avg 14.9% → last ⅓ avg 14.5%

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

0.23Best rating — ancient 13–2

13–2Biggest win — inferno

5Longest win streak

W2Current streak

11–13In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 62% over 26anubisWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	16–10	62%	0.00
mirage	C	25	11–14	44%	-0.02
nuke	B	15	7–8	47%	-0.01
inferno	A	10	6–4	60%	0.01
ancient	C	9	4–5	44%	-0.00
anubis	D	7	0–7	0%	-0.03
cache	D	7	2–5	29%	-0.01
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches

51%Win rate

0.98Avg K/D

77.8ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

15%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	57%	1.03	14.9
Dust2	15	53%	0.95	14.2
Ancient	12	50%	1.02	16.0
Inferno	8	50%	1.05	14.8
Anubis	8	38%	0.73	11.9
Nuke	7	57%	1.03	16.1
Cache	2	0%	0.34	7.0
Overpass	2	50%	1.40	18.5

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.

14.6%Headshot accuracy

28.7%Accuracy (enemy spotted)

30.9%Spray accuracy

62.3%Counter-strafing

12.5°Preaim

652msReaction time

35.1%T opening success

39.0%CT opening success

0.66Enemies flashed / flash

7.0%Flash assists

5.43HE damage / grenade

6.58Flashes / 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 12.4505° — 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 14.5823% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	-0.00	8%	27 Aug →
dust2	13–11	-0.04	23%	27 Aug →
inferno	7–13	-0.03	9%	27 Aug →
vertigo	12–12	-0.04	11%	25 Aug →
mirage	13–3	-0.00	9%	24 Aug →
mirage	6–13	-0.07	13%	24 Aug →
nuke	13–7	0.08	12%	24 Aug →
dust2	13–7	0.02	23%	24 Aug →
anubis	11–13	-0.05	18%	24 Aug →
mirage	11–13	0.05	19%	24 Aug →
nuke	14–16	-0.02	14%	24 Aug →
cache	13–8	0.06	14%	24 Aug →
dust2	13–11	-0.03	18%	24 Aug →
mirage	14–16	-0.05	15%	23 Aug →
dust2	13–7	-0.03	23%	23 Aug →
dust2	11–13	-0.08	8%	23 Aug →
cache	9–13	-0.10	16%	22 Aug →
anubis	10–13	0.00	14%	22 Aug →
ancient	10–13	-0.06	19%	13 Aug →
inferno	13–2	0.00	15%	12 Aug →
anubis	3–13	-0.08	16%	12 Aug →
nuke	13–9	0.01	14%	12 Aug →
nuke	3–13	-0.08	7%	10 Aug →
dust2	13–4	0.00	13%	5 Aug →
dust2	0–13	-0.08	21%	5 Aug →
dust2	13–6	-0.01	17%	5 Aug →
dust2	15–15	-0.06	8%	5 Aug →
dust2	11–13	0.04	14%	5 Aug →
mirage	11–13	-0.02	19%	5 Aug →
inferno	13–11	-0.01	10%	5 Aug →
cache	12–12	0.05	10%	5 Aug →
nuke	6–13	-0.02	10%	4 Aug →
ancient	13–2	0.23	19%	4 Aug →
cache	8–13	-0.06	19%	4 Aug →
nuke	5–13	-0.08	18%	4 Aug →
mirage	13–3	0.03	17%	4 Aug →
mirage	4–13	-0.05	11%	3 Aug →
nuke	11–13	-0.01	13%	3 Aug →
ancient	13–11	-0.00	16%	3 Aug →
ancient	7–13	0.10	16%	3 Aug →
anubis	7–13	-0.02	15%	3 Aug →
dust2	13–4	0.03	16%	2 Aug →
nuke	13–8	-0.01	17%	2 Aug →
nuke	13–5	0.01	13%	2 Aug →
nuke	4–13	-0.01	18%	2 Aug →
nuke	2–13	-0.00	10%	2 Aug →
dust2	5–13	-0.04	10%	2 Aug →
dust2	11–13	0.06	19%	2 Aug →
dust2	13–5	0.01	20%	1 Aug →
mirage	3–13	-0.03	12%	1 Aug →
mirage	5–13	-0.05	14%	1 Aug →
dust2	6–13	0.08	14%	1 Aug →
mirage	13–8	-0.01	12%	1 Aug →
ancient	1–13	-0.13	17%	1 Aug →
inferno	6–13	-0.03	21%	31 Jul →
mirage	11–13	-0.05	14%	31 Jul →
dust2	13–10	0.01	11%	31 Jul →
inferno	13–6	-0.01	20%	31 Jul →
ancient	8–13	-0.01	13%	31 Jul →
mirage	13–7	0.02	27%	31 Jul →
inferno	13–8	0.12	18%	31 Jul →
dust2	7–13	-0.02	23%	28 Jul →
dust2	13–11	-0.02	13%	28 Jul →
cache	11–13	-0.01	24%	28 Jul →
dust2	13–10	0.03	21%	28 Jul →
nuke	10–13	-0.05	11%	28 Jul →
mirage	9–13	0.05	21%	28 Jul →
mirage	13–11	-0.01	12%	27 Jul →
mirage	5–13	-0.10	18%	27 Jul →
mirage	3–13	-0.03	16%	27 Jul →
dust2	13–5	0.11	13%	27 Jul →
inferno	13–11	0.04	14%	27 Jul →
mirage	4–13	-0.07	15%	26 Jul →
mirage	13–11	-0.04	18%	26 Jul →
dust2	13–2	0.12	17%	25 Jul →
nuke	13–10	-0.04	24%	25 Jul →
mirage	13–9	-0.05	10%	25 Jul →
nuke	13–7	-0.01	21%	23 Jul →
anubis	11–13	-0.06	11%	23 Jul →
nuke	13–8	0.02	6%	23 Jul →
dust2	9–13	-0.04	10%	23 Jul →
mirage	13–11	-0.03	18%	20 Jul →
cache	11–13	-0.02	13%	20 Jul →
mirage	13–7	-0.03	22%	20 Jul →
mirage	13–11	-0.03	13%	20 Jul →
mirage	16–14	-0.00	18%	20 Jul →
inferno	13–5	0.02	11%	20 Jul →
dust2	13–8	-0.01	22%	20 Jul →
mirage	6–13	0.03	15%	20 Jul →
cache	13–7	0.04	15%	19 Jul →
anubis	9–13	-0.01	8%	19 Jul →
dust2	9–13	-0.01	8%	19 Jul →
inferno	10–13	0.06	21%	19 Jul →
inferno	2–13	-0.09	25%	19 Jul →
ancient	13–8	-0.04	12%	19 Jul →
anubis	8–13	0.01	16%	18 Jul →
ancient	8–13	-0.03	15%	18 Jul →
dust2	13–8	0.00	17%	18 Jul →
ancient	13–9	-0.06	10%	17 Jul →
mirage	15–15	-0.04	9%	17 Jul →