Alfredo 2 — CS2 Stats

76561199563124171[U:1:1602858443]

1,380Tracked matches37%Win rate2023Tracked since

1,115Hours in CS8Hrs last 2 wks

CSDB Rating5.2 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim80

Positioning60

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLLWLLLTWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim8.0

Aggression9.4

Utility4.9

Positioning6.0

Opening Duels4.2

Clutch6.0

Strong CT-side opener

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 sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, 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 →

Strengths & areas to improve

Areas to improve

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

T-side openings. Opening success drops from 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim8.0

Positioning6.0

Utility4.9

Mechanics6.4

Opening Duels4.2

Win Impact0.7

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.04

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time601ms+17ms

first ⅓ avg 584ms → last ⅓ avg 601ms

Headshot accuracy31.9%+8.3%

first ⅓ avg 23.5% → last ⅓ avg 31.9%

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

0.16Best rating — dust2 12–12

13–0Biggest win — dust2

5Longest win streak

L2Current streak

4–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 67% over 6anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	28	13–15	46%	0.02
dust2	D	15	5–10	33%	0.04
inferno	C	9	4–5	44%	0.03
train	A	9	5–4	56%	0.04
office	C	7	3–4	43%	-0.01
mirage	S	6	4–2	67%	0.05
poseidon	B	6	3–3	50%	0.03
anubis	D	5	1–4	20%	0.03
nuke	—	4	3–1	75%	0.08
boulder	—	4	1–3	25%	0.04
vertigo	—	2	0–2	0%	0.03
ancient	—	2	0–2	0%	-0.02
shelter	—	1	1–0	100%	-0.02
fachwerk	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,433Lifetime kills

1.16K/D · Top 25% of tracked players

1,476Matches

48.2%Match win rate · Top 50% of tracked players

66.0%Headshot % · Top 5% of tracked players

0.2%Shot accuracy

3,885MVPs

1,219Hours (in match)

1,448Bombs planted

570Bombs defused

Most-used weapons

AK-4719,873

M4A4 / M4A1-S5,293

AWP3,186

P2000 / USP-S2,392

Desert Eagle2,042

Glock-181,326

SSG 08649

MAC-10441

P90308

Knife290

Lifetime map wins

3,160dust2

1,232inferno

1,013nuke

627office

596vertigo

524train

157italy

3ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

36Matches

58%Win rate

1.30Avg K/D

84.0ADR

54%Headshot %

Clutches & streaks

50%1v1 clutch win

28%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	18%	0.99	14.6
Ancient	6	50%	1.28	15.5
Anubis	6	100%	1.24	16.3
Mirage	4	100%	1.36	19.0
Inferno	4	100%	1.58	22.3
Nuke	3	0%	1.10	26.7
Cache	1	100%	1.22	22.0
Train	1	100%	4.50	9.0

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.

31.6%Headshot accuracy

34.3%Accuracy (enemy spotted)

36.7%Spray accuracy

79.0%Counter-strafing

10.5°Preaim

605msReaction time

35.7%T opening success

58.2%CT opening success

0.54Enemies flashed / flash

7.1%Flash assists

10.63HE damage / grenade

6.28Flashes / 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
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 35.6739% — below the 40% mark we flag

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.

20% win rate across 5 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	9–13	-0.01	29%	26 Aug →
inferno	6–13	0.04	26%	25 Aug →
nuke	13–6	0.11	30%	25 Aug →
inferno	3–13	0.00	36%	25 Aug →
inferno	5–13	0.03	29%	24 Aug →
mirage	11–13	0.06	28%	23 Aug →
mirage	12–12	0.06	32%	17 Aug →
inferno	13–10	0.03	27%	17 Aug →
boulder	13–6	0.08	21%	17 Aug →
train	13–9	0.10	52%	16 Aug →
dust2	10–13	0.04	52%	16 Aug →
poseidon	6–9	0.06	45%	16 Aug →
dust2	12–12	0.03	34%	13 Aug →
inferno	7–13	0.05	29%	13 Aug →
train	13–1	0.07	31%	12 Aug →
vertigo	5–13	0.01	54%	12 Aug →
train	7–13	-0.03	24%	12 Aug →
train	0–8	-0.04	55%	12 Aug →
nuke	13–4	0.13	22%	10 Aug →
dust2	11–13	0.12	40%	10 Aug →
dust2	13–6	0.10	19%	10 Aug →
dust2	9–5	0.12	29%	10 Aug →
anubis	10–13	0.01	25%	26 Jul →
anubis	8–13	0.01	50%	23 Jul →
dust2	12–12	0.16	30%	20 Jul →
boulder	5–13	-0.00	29%	14 Jul →
boulder	4–13	0.07	17%	13 Jul →
shelter	13–10	-0.02	15%	13 Jul →
boulder	4–13	-0.01	27%	12 Jul →
fachwerk	10–13	-0.02	32%	12 Jul →
dust2	13–0	0.12	26%	9 Jul →
dust2	4–13	-0.03	21%	9 Jul →
office	13–7	0.00	33%	8 Jul →
office	12–12	0.10	42%	8 Jul →
nuke	9–13	-0.02	25%	7 Jul →
mirage	13–5	0.04	28%	7 Jul →
train	13–8	0.11	43%	7 Jul →
cache	13–10	-0.01	25%	6 Jul →
mirage	13–7	0.04	18%	5 Jul →
overpass	13–10	0.09	32%	4 Jul →
cache	8–13	-0.02	27%	1 Jul →
mirage	13–9	0.03	19%	30 Jun →
dust2	4–13	-0.06	33%	30 Jun →
poseidon	9–6	0.06	19%	30 Jun →
inferno	12–12	0.01	34%	29 Jun →
inferno	13–9	0.03	27%	29 Jun →
mirage	13–6	0.06	20%	29 Jun →
cache	6–13	-0.05	25%	29 Jun →
poseidon	8–8	-0.02	29%	29 Jun →
poseidon	6–9	0.02	29%	29 Jun →
dust2	9–13	-0.02	15%	27 Jun →
inferno	13–2	0.08	29%	25 Jun →
cache	11–13	-0.00	17%	25 Jun →
cache	5–13	0.05	21%	24 Jun →
cache	13–5	0.04	28%	22 Jun →
cache	12–12	0.04	18%	18 Jun →
train	1–13	-0.10	17%	18 Jun →
train	2–0	0.14	29%	18 Jun →
train	13–7	0.10	25%	18 Jun →
train	10–13	0.01	29%	17 Jun →
dust2	13–9	0.07	32%	16 Jun →
nuke	13–9	0.09	26%	15 Jun →
poseidon	9–4	-0.01	18%	13 Jun →
cache	13–9	0.12	40%	11 Jun →
cache	13–1	0.07	50%	10 Jun →
vertigo	6–13	0.05	20%	8 Jun →
inferno	13–7	0.02	29%	8 Jun →
cache	11–13	0.01	23%	1 Jun →
cache	8–13	0.03	27%	1 Jun →
anubis	5–13	0.00	28%	31 May →
anubis	13–3	0.10	21%	29 May →
anubis	6–13	0.03	13%	29 May →
cache	13–7	-0.01	17%	26 May →
cache	13–7	0.00	13%	25 May →
cache	13–7	0.03	29%	25 May →
cache	13–5	0.02	17%	24 May →
ancient	6–13	-0.01	32%	24 May →
dust2	8–13	0.00	19%	24 May →
cache	0–8	-0.05	13%	24 May →
cache	13–5	0.11	38%	24 May →
cache	3–1	0.12	21%	21 May →
cache	12–12	-0.06	36%	20 May →
cache	13–11	0.07	27%	19 May →
poseidon	9–7	0.05	25%	18 May →
office	13–10	-0.08	24%	18 May →
office	4–13	-0.02	18%	18 May →
office	11–13	0.03	22%	14 May →
office	5–13	-0.11	29%	13 May →
ancient	8–13	-0.03	25%	13 May →
office	13–6	-0.02	41%	13 May →
cache	10–13	0.02	35%	13 May →
cache	8–13	0.02	11%	12 May →
cache	13–10	0.06	12%	12 May →
dust2	5–13	-0.06	30%	12 May →
dust2	13–6	0.03	16%	12 May →
cache	1–13	0.01	19%	12 May →
cache	9–13	-0.02	20%	12 May →
cache	13–5	-0.03	21%	11 May →
cache	7–13	0.04	25%	11 May →
cache	9–13	-0.07	31%	11 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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