noodles — CS2 Stats

76561197998934765[U:1:38669037]

2,011Tracked matches52%Win rate2020Tracked since

CSDB Rating5.0 Developing

Premier CS Rating13,279Blue band · top ~37.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning66

Utility57

0–100 skill scores via Leetify.

Recent form

HOT48–45–7Last 10048%Win rateWWTWWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim5.6

Aggression6.4

Utility5.7

Positioning6.6

Opening Duels2.4

Clutch3.2

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 iM 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.6

Positioning6.6

Utility5.7

Mechanics4.2

Opening Duels2.4

Win Impact5.6

Composite 5.0/10 (Developing), 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-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time560ms−30ms

first ⅓ avg 590ms → last ⅓ avg 560ms

Headshot accuracy15.2%+1.5%

first ⅓ avg 13.7% → last ⅓ avg 15.2%

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 — dust2 13–8

13–3Biggest win — dust2

4Longest win streak

W2Current streak

13–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	20	11–9	55%	0.01
anubis	B	17	9–8	53%	0.01
dust2	C	14	6–8	43%	0.02
mirage	B	13	6–7	46%	-0.01
inferno	D	13	3–10	23%	-0.01
ancient	S	12	8–4	67%	0.01
cache	B	11	5–6	45%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches

46%Win rate

1.28Avg K/D

87.9ADR

33%Headshot %

Clutches & streaks

36%1v1 clutch win

29%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	29%	1.09	17.7
Dust2	4	75%	1.39	21.3
Nuke	3	33%	0.99	17.7
Cache	3	67%	0.89	12.0
Inferno	3	33%	1.91	14.0
Anubis	2	50%	1.16	18.5
Ancient	2	50%	1.88	18.0

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.

15.8%Headshot accuracy

33.1%Accuracy (enemy spotted)

32.8%Spray accuracy

69.0%Counter-strafing

9.7°Preaim

556msReaction time

30.7%T opening success

48.5%CT opening success

0.76Enemies flashed / flash

4.2%Flash assists

10.73HE damage / grenade

3.75Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7477 — 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 30.6852% — 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.

23% win rate across 13 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
nuke	13–8	0.09	22%	29 Aug →
nuke	13–4	0.03	24%	29 Aug →
anubis	15–15	0.00	17%	28 Aug →
anubis	13–6	-0.02	3%	28 Aug →
dust2	13–7	0.07	27%	28 Aug →
dust2	13–7	0.10	17%	27 Aug →
mirage	7–13	-0.05	12%	27 Aug →
nuke	16–14	0.02	18%	26 Aug →
inferno	8–13	-0.08	8%	26 Aug →
cache	13–9	0.04	14%	25 Aug →
cache	10–13	-0.00	15%	25 Aug →
nuke	7–13	-0.00	11%	24 Aug →
inferno	10–6	-0.01	11%	24 Aug →
ancient	13–5	-0.02	16%	24 Aug →
mirage	2–13	-0.09	15%	23 Aug →
inferno	13–6	0.09	14%	23 Aug →
anubis	9–13	0.01	22%	23 Aug →
cache	13–8	0.05	22%	23 Aug →
mirage	7–13	0.01	16%	23 Aug →
anubis	5–13	-0.05	26%	23 Aug →
cache	15–15	-0.01	17%	22 Aug →
mirage	7–13	-0.07	13%	22 Aug →
inferno	6–13	-0.03	19%	22 Aug →
mirage	13–5	-0.07	20%	22 Aug →
ancient	2–13	-0.08	12%	22 Aug →
nuke	16–12	0.01	16%	22 Aug →
ancient	13–8	0.02	12%	22 Aug →
dust2	15–15	-0.02	12%	21 Aug →
nuke	14–16	0.04	14%	21 Aug →
anubis	6–13	-0.05	8%	21 Aug →
nuke	7–13	-0.07	6%	20 Aug →
mirage	4–13	-0.03	14%	19 Aug →
ancient	13–8	-0.02	8%	19 Aug →
anubis	15–15	0.03	10%	19 Aug →
mirage	13–11	0.11	17%	17 Aug →
dust2	13–3	0.08	17%	17 Aug →
dust2	11–13	0.01	19%	17 Aug →
inferno	10–13	-0.03	8%	17 Aug →
anubis	11–13	0.05	19%	17 Aug →
nuke	13–4	0.03	12%	16 Aug →
ancient	8–13	-0.02	9%	16 Aug →
mirage	13–9	-0.02	13%	15 Aug →
mirage	13–5	0.06	21%	15 Aug →
inferno	10–13	0.03	14%	15 Aug →
anubis	13–11	0.12	11%	15 Aug →
anubis	13–6	0.02	10%	15 Aug →
nuke	8–13	0.04	6%	14 Aug →
anubis	13–10	-0.07	14%	14 Aug →
inferno	9–13	-0.02	20%	14 Aug →
dust2	7–13	-0.03	23%	14 Aug →
cache	13–9	0.02	14%	13 Aug →
nuke	13–11	0.02	23%	13 Aug →
inferno	12–16	-0.00	11%	12 Aug →
ancient	6–13	0.02	18%	12 Aug →
dust2	13–11	-0.01	19%	11 Aug →
anubis	13–11	0.03	23%	11 Aug →
ancient	12–16	0.01	10%	11 Aug →
cache	15–15	-0.05	11%	10 Aug →
mirage	13–4	0.02	16%	10 Aug →
nuke	16–12	0.00	18%	10 Aug →
inferno	10–13	0.01	9%	10 Aug →
dust2	13–5	0.04	26%	10 Aug →
cache	5–13	-0.02	12%	9 Aug →
anubis	6–13	-0.01	15%	9 Aug →
nuke	9–13	-0.03	11%	9 Aug →
inferno	11–13	0.01	12%	9 Aug →
ancient	13–11	0.04	13%	9 Aug →
anubis	13–11	-0.06	8%	8 Aug →
dust2	13–8	0.12	22%	8 Aug →
cache	13–11	0.03	16%	8 Aug →
dust2	8–13	0.04	19%	8 Aug →
nuke	16–13	-0.03	18%	8 Aug →
anubis	11–13	0.06	7%	7 Aug →
nuke	13–11	0.01	24%	7 Aug →
nuke	13–11	-0.03	13%	7 Aug →
inferno	2–13	-0.06	5%	7 Aug →
nuke	15–15	-0.04	7%	7 Aug →
anubis	13–9	-0.06	15%	6 Aug →
ancient	16–14	0.05	14%	6 Aug →
inferno	13–6	-0.04	20%	6 Aug →
cache	13–8	0.02	11%	6 Aug →
nuke	11–13	0.01	13%	5 Aug →
cache	11–13	0.05	11%	5 Aug →
dust2	15–15	0.00	15%	5 Aug →
nuke	8–13	0.06	12%	4 Aug →
mirage	9–13	-0.02	20%	3 Aug →
mirage	5–13	-0.00	13%	3 Aug →
nuke	13–6	0.03	9%	3 Aug →
cache	8–13	-0.06	14%	3 Aug →
nuke	6–13	-0.03	15%	3 Aug →
ancient	13–6	0.12	15%	2 Aug →
mirage	13–5	0.01	7%	2 Aug →
dust2	5–13	-0.01	29%	2 Aug →
anubis	13–4	0.08	12%	2 Aug →
ancient	16–14	0.02	4%	2 Aug →
ancient	13–7	0.04	19%	2 Aug →
anubis	13–4	0.07	17%	2 Aug →
dust2	6–13	-0.02	8%	2 Aug →
inferno	11–13	-0.03	12%	2 Aug →
dust2	9–13	-0.05	7%	2 Aug →