Finnolduzz — CS2 Stats

76561198064705159[U:1:104439431]

2,304Tracked matches45%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 9 · 2,134 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning53

Utility71

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateWLLLLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression7.0

Utility7.1

Positioning5.3

Opening Duels2.6

Clutch3.4

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 Twistzz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9

Positioning5.3

Utility7.1

Mechanics4.9

Opening Duels2.6

Win Impact3.3

Composite 5.5/10 (Solid), 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 -0.00 → last ⅓ avg -0.01

Reaction time539ms−34ms

first ⅓ avg 573ms → last ⅓ avg 539ms

Headshot accuracy14.7%−0.3%

first ⅓ avg 15.0% → last ⅓ avg 14.7%

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.

Highlights

0.12Best rating — vertigo 13–4

13–0Biggest win — dust2

6Longest win streak

7–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	21	8–13	38%	-0.02
dust2	B	18	9–9	50%	-0.02
overpass	A	16	10–6	63%	0.00
nuke	B	12	6–6	50%	-0.01
mirage	C	9	4–5	44%	-0.03
anubis	B	6	3–3	50%	-0.02
ancient	S	6	4–2	67%	0.01
vertigo	C	5	2–3	40%	0.03
train	—	3	1–2	33%	0.01
office	—	2	1–1	50%	0.03
cache	—	1	1–0	100%	-0.02
agency	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,165Matches

51%Win rate

0.99Avg K/D

73.7ADR

36%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	376	54%	0.96	14.3
Dust2	369	51%	0.91	14.0
Nuke	220	53%	1.04	15.3
Ancient	140	34%	0.88	14.0
Overpass	105	62%	1.08	15.0
Mirage	67	39%	0.93	14.8
Train	23	39%	0.91	13.9
Vertigo	16	38%	0.82	13.3

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.

15.0%Headshot accuracy

37.2%Accuracy (enemy spotted)

39.6%Spray accuracy

72.0%Counter-strafing

10.2°Preaim

537msReaction time

38.8%T opening success

42.3%CT opening success

0.62Enemies flashed / flash

6.6%Flash assists

9.59HE damage / grenade

24.31Flashes / 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 14.993% — below the 15% mark we flag
Aim Training →
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 38.8444% — below the 40% mark we flag

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.

38% win rate across 21 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
anubis	13–3	0.00	16%	20 Aug →
train	8–13	-0.01	12%	18 Aug →
train	10–13	-0.00	17%	18 Aug →
nuke	9–13	-0.03	7%	4 Aug →
dust2	5–13	-0.02	9%	4 Aug →
ancient	4–13	-0.06	16%	4 Aug →
inferno	3–13	-0.08	15%	4 Aug →
inferno	10–13	-0.00	18%	3 Aug →
nuke	13–11	0.00	13%	3 Aug →
inferno	4–13	-0.08	2%	3 Aug →
inferno	13–6	0.02	13%	30 Jul →
inferno	1–13	-0.04	6%	30 Jul →
dust2	28–25	0.01	15%	30 Jul →
inferno	3–13	-0.00	28%	27 Jul →
inferno	13–8	0.02	12%	26 Jul →
mirage	3–13	-0.03	18%	23 Jul →
nuke	22–20	0.02	11%	20 Jul →
mirage	9–13	-0.01	24%	15 Jul →
ancient	2–13	0.08	13%	15 Jul →
office	12–12	0.06	16%	13 Jul →
cache	13–8	-0.02	27%	11 Jul →
overpass	13–9	0.01	15%	24 Jun →
dust2	22–20	-0.03	19%	21 Jun →
overpass	13–5	-0.09	6%	18 Jun →
inferno	13–9	-0.04	14%	12 Jun →
vertigo	11–13	-0.03	15%	8 Jun →
vertigo	13–4	0.12	14%	8 Jun →
vertigo	2–13	-0.05	5%	8 Jun →
anubis	13–2	0.02	29%	2 Jun →
nuke	16–19	-0.05	20%	12 May →
dust2	10–13	-0.02	13%	8 May →
inferno	6–13	-0.05	18%	3 May →
overpass	16–14	0.03	13%	21 Apr →
ancient	13–10	0.00	11%	11 Apr →
mirage	5–13	-0.05	9%	11 Apr →
overpass	16–13	0.02	13%	10 Apr →
inferno	10–13	0.01	7%	10 Apr →
dust2	13–16	-0.06	8%	9 Apr →
overpass	5–13	-0.03	22%	9 Apr →
overpass	11–13	-0.00	10%	6 Apr →
nuke	11–13	-0.00	13%	2 Apr →
ancient	16–12	0.04	7%	2 Apr →
anubis	13–4	-0.04	11%	2 Apr →
inferno	7–13	-0.02	14%	1 Apr →
anubis	7–13	-0.07	8%	1 Apr →
dust2	13–11	0.00	10%	1 Apr →
inferno	13–9	-0.08	17%	1 Apr →
anubis	8–13	0.04	18%	1 Apr →
mirage	13–6	0.02	18%	30 Mar →
office	13–8	0.01	9%	19 Mar →
nuke	3–13	-0.03	17%	14 Mar →
nuke	13–6	-0.01	15%	13 Mar →
inferno	13–8	-0.02	20%	5 Mar →
inferno	8–13	-0.02	9%	28 Feb →
inferno	7–13	-0.03	11%	19 Feb →
overpass	13–6	0.05	22%	18 Feb →
dust2	11–13	-0.01	15%	18 Feb →
inferno	6–13	-0.04	9%	13 Feb →
mirage	9–13	-0.05	15%	13 Feb →
ancient	13–8	0.02	13%	13 Feb →
mirage	13–9	-0.03	20%	13 Feb →
ancient	13–9	0.00	10%	7 Feb →
overpass	13–7	0.01	14%	7 Feb →
dust2	13–0	-0.05	7%	6 Feb →
overpass	16–14	0.04	8%	6 Feb →
anubis	11–13	-0.05	23%	6 Feb →
mirage	13–10	-0.04	12%	6 Feb →
inferno	13–9	0.05	5%	2 Feb →
dust2	2–13	-0.07	7%	27 Jan →
dust2	13–7	0.02	13%	26 Jan →
inferno	13–9	0.04	15%	26 Jan →
overpass	8–13	-0.03	8%	20 Jan →
nuke	7–13	-0.00	17%	4 Jan →
dust2	13–8	-0.03	15%	30 Dec →
mirage	13–11	-0.01	9%	30 Dec →
dust2	17–19	-0.01	26%	30 Dec →
dust2	6–13	-0.04	16%	29 Dec →
overpass	11–13	0.02	10%	29 Dec →
dust2	13–4	-0.03	22%	24 Dec →
mirage	4–13	-0.03	8%	23 Dec →
nuke	10–13	-0.07	10%	23 Dec →
overpass	13–6	0.08	26%	21 Dec →
overpass	10–13	0.01	12%	20 Dec →
vertigo	13–4	0.11	23%	18 Dec →
vertigo	9–13	-0.01	17%	18 Dec →
inferno	8–13	-0.06	12%	24 Nov →
overpass	13–5	-0.02	5%	19 Nov →
overpass	11–13	-0.01	12%	18 Nov →
dust2	2–13	-0.10	15%	12 Nov →
train	13–5	0.05	14%	10 Nov →
dust2	13–10	-0.01	16%	24 Oct →
nuke	13–1	0.04	31%	18 Oct →
inferno	13–7	0.01	23%	9 Oct →
overpass	16–13	-0.04	10%	7 Oct →
inferno	11–13	-0.06	6%	23 Aug →
dust2	13–9	0.01	14%	13 Aug →
agency	12–12	0.07	24%	11 Aug →
nuke	13–7	0.01	16%	8 Aug →
nuke	16–13	0.02	14%	8 Aug →
dust2	8–13	-0.03	25%	8 Aug →