Week Old Crab Rangoons — CS2 Stats

76561198130353231[U:1:170087503]

605Tracked matches41%Win rate2023Tracked since

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning61

Utility32

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateWLLLLLLWWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.3

Aggression8.8

Utility3.2

Positioning6.1

Opening Duels4.2

Sharp aimerExcellent counter-strafingLimited utility dependence

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 ropz 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: higher opening-fight frequency; lower utility contribution.

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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3

Positioning6.1

Utility3.2

Mechanics8.5

Opening Duels4.2

Win Impact2.1

Composite 6.4/10 (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 rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time538ms−100ms

first ⅓ avg 638ms → last ⅓ avg 538ms

Headshot accuracy18.9%+0.7%

first ⅓ avg 18.2% → last ⅓ avg 18.9%

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

0.21Best rating — anubis 13–5

13–1Biggest win — vertigo

6Longest win streak

7–2In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 56% over 16nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	A	16	9–7	56%	0.06
mirage	C	14	5–9	36%	0.03
anubis	B	13	7–6	54%	0.06
dust2	B	13	6–7	46%	0.05
cache	C	12	5–7	42%	0.04
train	C	11	4–7	36%	0.05
ancient	C	9	4–5	44%	0.03
nuke	D	6	2–4	33%	0.03
overpass	—	3	2–1	67%	-0.00
inferno	—	3	1–2	33%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches

59%Win rate

0.96Avg K/D

—ADR

51%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLL

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.

18.7%Headshot accuracy

45.2%Accuracy (enemy spotted)

45.5%Spray accuracy

88.1%Counter-strafing

9.4°Preaim

530msReaction time

40.2%T opening success

53.0%CT opening success

0.61Enemies flashed / flash

6.8%Flash assists

9.42HE damage / grenade

3.03Flashes / 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 3.0274 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–10	0.16	13%	28 Aug →
anubis	9–13	0.04	6%	28 Aug →
dust2	10–13	0.10	13%	28 Aug →
nuke	1–13	-0.11	6%	27 Aug →
vertigo	9–13	0.15	16%	27 Aug →
ancient	10–13	0.01	26%	27 Aug →
overpass	7–13	0.03	23%	26 Aug →
train	7–1	-0.01	55%	26 Aug →
anubis	13–8	-0.00	19%	26 Aug →
mirage	11–13	-0.04	15%	21 Aug →
vertigo	9–13	-0.00	24%	21 Aug →
cache	12–12	0.04	23%	21 Aug →
mirage	6–13	0.02	24%	21 Aug →
anubis	13–8	0.10	21%	21 Aug →
vertigo	3–13	0.00	20%	21 Aug →
dust2	13–8	0.07	18%	19 Aug →
anubis	13–5	0.21	25%	19 Aug →
mirage	13–11	0.11	21%	19 Aug →
ancient	8–13	0.04	19%	18 Aug →
anubis	3–13	-0.04	15%	18 Aug →
mirage	3–13	-0.01	16%	18 Aug →
dust2	13–11	0.06	16%	18 Aug →
dust2	7–13	0.05	10%	17 Aug →
train	9–3	0.07	21%	17 Aug →
nuke	8–13	0.17	15%	17 Aug →
anubis	13–7	0.06	7%	16 Aug →
vertigo	13–10	0.12	29%	16 Aug →
nuke	3–13	0.06	27%	16 Aug →
mirage	13–5	0.06	10%	16 Aug →
dust2	0–13	-0.02	29%	16 Aug →
nuke	13–2	0.06	12%	16 Aug →
ancient	13–8	0.03	12%	16 Aug →
vertigo	13–7	0.14	17%	14 Aug →
mirage	6–13	0.05	25%	14 Aug →
overpass	13–11	-0.02	25%	14 Aug →
train	8–13	0.10	9%	14 Aug →
dust2	13–6	0.12	22%	14 Aug →
inferno	8–8	0.10	18%	14 Aug →
vertigo	13–1	0.12	8%	13 Aug →
dust2	12–12	0.02	15%	13 Aug →
cache	12–12	0.08	10%	13 Aug →
train	10–13	0.09	22%	12 Aug →
mirage	13–11	0.06	11%	12 Aug →
train	13–4	0.20	22%	12 Aug →
vertigo	12–12	-0.02	7%	7 Aug →
train	1–13	-0.03	20%	7 Aug →
mirage	13–9	0.03	15%	7 Aug →
overpass	13–11	-0.02	22%	7 Aug →
inferno	9–13	-0.03	13%	6 Aug →
anubis	4–0	0.15	13%	6 Aug →
train	7–13	0.03	14%	5 Aug →
vertigo	13–11	0.07	11%	5 Aug →
vertigo	13–9	0.16	12%	4 Aug →
mirage	12–12	0.06	16%	4 Aug →
ancient	13–8	0.12	11%	4 Aug →
dust2	13–9	0.17	23%	3 Aug →
anubis	9–13	0.03	10%	2 Aug →
dust2	13–10	0.07	19%	2 Aug →
vertigo	13–8	0.07	19%	2 Aug →
cache	13–10	0.10	16%	1 Aug →
train	1–13	-0.04	21%	1 Aug →
cache	13–8	0.04	17%	29 Jul →
train	8–13	0.05	19%	29 Jul →
dust2	11–13	0.10	13%	28 Jul →
vertigo	3–13	-0.05	16%	23 Jul →
nuke	3–13	0.01	13%	23 Jul →
cache	1–13	-0.01	17%	23 Jul →
dust2	13–9	0.04	20%	23 Jul →
mirage	2–8	0.01	17%	23 Jul →
ancient	13–5	0.09	11%	23 Jul →
cache	5–13	0.14	21%	23 Jul →
cache	13–10	0.03	12%	22 Jul →
ancient	8–13	0.07	27%	22 Jul →
mirage	13–11	0.06	29%	22 Jul →
anubis	13–1	0.15	18%	22 Jul →
vertigo	13–7	0.08	20%	21 Jul →
dust2	2–8	-0.01	15%	21 Jul →
ancient	6–13	-0.02	19%	21 Jul →
mirage	0–5	-0.02	33%	21 Jul →
vertigo	12–12	-0.02	13%	21 Jul →
anubis	6–13	-0.00	16%	21 Jul →
cache	2–11	-0.00	28%	20 Jul →
anubis	6–13	0.04	16%	19 Jul →
vertigo	4–13	-0.10	12%	17 Jul →
inferno	13–9	0.03	14%	17 Jul →
dust2	2–13	-0.08	12%	17 Jul →
cache	5–13	0.02	10%	17 Jul →
ancient	13–6	-0.01	18%	15 Jul →
anubis	12–12	0.01	9%	15 Jul →
mirage	9–13	-0.00	15%	15 Jul →
cache	8–13	-0.07	24%	15 Jul →
ancient	5–13	-0.03	10%	14 Jul →
mirage	3–13	-0.01	12%	14 Jul →
train	1–8	-0.00	50%	14 Jul →
vertigo	13–6	0.08	14%	14 Jul →
cache	13–5	0.07	17%	12 Jul →
nuke	10–6	-0.00	22%	12 Jul →
train	13–6	0.11	9%	12 Jul →
anubis	13–5	0.05	18%	12 Jul →
cache	13–10	-0.00	20%	12 Jul →