SploogeMcDuck — CS2 Stats

76561198215688309[U:1:255422581]✓ No bans

738Tracked matches29%Win rate2024Tracked since

CSDB Rating3.2 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning45

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY38–53–9Last 10038%Win rateLLWLWLLWWL

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

Player DNA

Aim3.7

Aggression5.7

Utility2.9

Positioning4.5

Opening Duels1.6

Clutch6.0

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 75% playstyle similarity

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

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. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.7

Positioning4.5

Utility2.9

Mechanics3.9

Opening Duels1.7

Win Impact0.0

Composite 3.2/10 (Learning), 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-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time629ms−56ms

first ⅓ avg 685ms → last ⅓ avg 629ms

Headshot accuracy13.1%−2.6%

first ⅓ avg 15.7% → last ⅓ avg 13.1%

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

0.25Best rating — inferno 9–2

13–1Biggest win — mirage

6Longest win streak

L2Current streak

5–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 57% over 7ancientWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	15	4–11	27%	-0.03
inferno	C	14	5–9	36%	-0.01
dust2	C	11	4–7	36%	-0.03
office	D	9	2–7	22%	-0.06
vertigo	B	8	4–4	50%	-0.04
mirage	A	7	4–3	57%	0.02
ancient	D	6	0–6	0%	-0.01
anubis	B	6	3–3	50%	0.02
debris	—	4	4–0	100%	0.04
cache	—	4	1–3	25%	-0.00
fachwerk	—	3	1–2	33%	0.01
boulder	—	3	2–1	67%	-0.01
shelter	—	2	2–0	100%	0.05
poseidon	—	2	0–2	0%	-0.12
alpine	—	2	1–1	50%	-0.06
eldorado	—	1	1–0	100%	-0.07
sanctum	—	1	0–1	0%	-0.15
overpass	—	1	0–1	0%	-0.05
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

2Matches

0%Win rate

0.54Avg K/D

50.0ADR

18%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	0%	0.18	3.0
Anubis	1	0%	0.89	17.0

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.

13.4%Headshot accuracy

30.3%Accuracy (enemy spotted)

32.5%Spray accuracy

67.7%Counter-strafing

10.5°Preaim

630msReaction time

29.4%T opening success

43.5%CT opening success

0.53Enemies flashed / flash

4.5%Flash assists

8.43HE damage / grenade

3.53Flashes / 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 13.3833% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5347 — below the 4 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 29.4124% — 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.

0% win rate across 6 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
nuke	3–13	-0.07	18%	7 Aug →
dust2	8–13	0.02	21%	7 Aug →
nuke	9–5	-0.00	8%	24 Jul →
inferno	6–9	-0.17	25%	24 Jul →
debris	9–4	0.00	16%	24 Jul →
nuke	6–13	-0.03	12%	24 Jul →
inferno	7–13	-0.06	23%	24 Jul →
mirage	13–6	0.01	8%	24 Jul →
dust2	13–11	-0.01	19%	24 Jul →
ancient	11–13	-0.05	10%	24 Jul →
dust2	5–13	-0.05	13%	23 Jul →
cache	13–5	0.02	11%	23 Jul →
nuke	4–9	-0.14	9%	22 Jul →
ancient	8–13	0.04	19%	22 Jul →
office	8–13	-0.04	17%	22 Jul →
anubis	8–13	-0.01	15%	22 Jul →
dust2	11–5	-0.07	21%	22 Jul →
vertigo	0–9	-0.26	8%	16 Jul →
debris	9–3	0.05	8%	16 Jul →
office	12–12	-0.11	6%	16 Jul →
anubis	13–6	0.02	14%	16 Jul →
dust2	4–13	-0.08	0%	16 Jul →
mirage	5–13	0.07	12%	16 Jul →
fachwerk	13–6	0.05	16%	16 Jul →
nuke	2–13	-0.04	11%	16 Jul →
inferno	13–11	0.02	12%	16 Jul →
fachwerk	3–13	0.03	13%	15 Jul →
mirage	3–13	-0.03	9%	15 Jul →
office	13–9	-0.07	14%	15 Jul →
vertigo	3–13	-0.09	10%	15 Jul →
nuke	4–13	-0.12	16%	15 Jul →
inferno	1–13	-0.10	6%	15 Jul →
cache	12–12	0.04	14%	15 Jul →
inferno	9–7	-0.01	9%	15 Jul →
ancient	7–13	0.04	16%	15 Jul →
dust2	3–13	-0.01	13%	15 Jul →
inferno	5–9	-0.07	19%	11 Jul →
debris	9–0	0.17	17%	11 Jul →
anubis	9–13	-0.00	10%	11 Jul →
nuke	13–7	0.09	19%	11 Jul →
cache	3–13	-0.01	16%	11 Jul →
boulder	13–11	-0.03	3%	11 Jul →
inferno	13–7	0.02	19%	11 Jul →
dust2	13–8	-0.04	8%	11 Jul →
mirage	9–2	-0.08	5%	10 Jul →
eldorado	9–6	-0.07	11%	10 Jul →
debris	9–7	-0.05	13%	10 Jul →
vertigo	7–9	-0.06	8%	10 Jul →
inferno	9–5	0.01	12%	10 Jul →
boulder	13–2	0.00	11%	10 Jul →
vertigo	8–13	0.01	11%	10 Jul →
anubis	7–0	0.06	7%	10 Jul →
ancient	6–13	-0.04	11%	10 Jul →
office	3–13	-0.05	17%	9 Jul →
shelter	13–6	0.10	17%	9 Jul →
nuke	4–13	-0.06	18%	9 Jul →
shelter	13–5	-0.01	11%	9 Jul →
fachwerk	12–12	-0.06	16%	9 Jul →
boulder	11–13	-0.01	18%	9 Jul →
sanctum	3–9	-0.15	23%	2 Jul →
nuke	1–9	-0.24	3%	2 Jul →
inferno	9–2	0.25	13%	2 Jul →
poseidon	5–9	-0.06	22%	2 Jul →
vertigo	9–2	0.03	6%	2 Jul →
office	13–9	-0.00	19%	2 Jul →
alpine	6–13	-0.03	31%	2 Jul →
mirage	13–6	0.12	17%	2 Jul →
inferno	12–12	0.01	14%	2 Jul →
nuke	13–6	0.01	15%	2 Jul →
dust2	12–12	-0.01	13%	2 Jul →
nuke	12–12	-0.02	11%	27 Jun →
vertigo	13–5	0.05	18%	27 Jun →
anubis	11–13	0.05	7%	27 Jun →
cache	10–13	-0.05	18%	27 Jun →
vertigo	13–9	0.02	10%	27 Jun →
office	12–12	-0.03	27%	27 Jun →
vertigo	9–6	0.01	21%	22 Jun →
inferno	7–9	0.04	19%	22 Jun →
nuke	1–7	0.16	22%	22 Jun →
dust2	13–8	0.01	25%	22 Jun →
ancient	6–13	-0.00	15%	20 Jun →
inferno	2–13	-0.01	17%	20 Jun →
office	12–12	-0.07	15%	20 Jun →
office	5–13	-0.11	16%	14 Jun →
overpass	5–13	-0.05	16%	14 Jun →
alpine	13–7	-0.08	15%	14 Jun →
dust2	10–13	-0.00	13%	14 Jun →
mirage	13–1	0.07	9%	14 Jun →
dust2	5–13	-0.06	30%	13 Jun →
anubis	13–10	-0.01	11%	13 Jun →
nuke	10–13	-0.01	11%	13 Jun →
nuke	4–13	-0.02	12%	12 Jun →
nuke	13–5	0.03	21%	12 Jun →
poseidon	6–9	-0.19	17%	12 Jun →
inferno	3–9	-0.14	23%	12 Jun →
train	3–13	-0.06	13%	12 Jun →
office	9–13	-0.10	11%	12 Jun →
mirage	5–13	0.01	14%	12 Jun →
inferno	8–8	0.08	15%	11 Jun →
ancient	6–13	-0.07	4%	11 Jun →