Alfredo — CS2 Stats

76561198060391243[U:1:100125515]Steam profile ↗✓ No bans

1,773Tracked matches47%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating23,655Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning57

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWLWLLLWL

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.

Aim9.4

Aggression6.8

Utility5.4

Positioning5.7

Opening Duels3.7

Clutch3.6

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 b1t 95% playstyle similarity

Most alike: aim profile, opening-duel success.

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 94 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 37 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.

T-side openings. Opening success drops from 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim9.4

Positioning5.7

Utility5.4

Mechanics9.2

Opening Duels3.7

Win Impact3.9

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time588ms−61ms

first ⅓ avg 649ms → last ⅓ avg 588ms

Headshot accuracy27.8%+5.3%

first ⅓ avg 22.6% → last ⅓ avg 27.8%

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 13–3

13–0Biggest win — ancient

5Longest win streak

10–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 59% over 17cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	40	20–20	50%	-0.00
anubis	A	17	10–7	59%	0.00
mirage	B	15	7–8	47%	-0.00
ancient	B	14	7–7	50%	-0.02
nuke	C	7	3–4	43%	-0.01
cache	D	5	1–4	20%	-0.01
inferno	—	2	0–2	0%	-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

1,331Matches

51%Win rate

1.14Avg K/D

80.3ADR

49%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	169	51%	1.09	16.6
Mirage	138	36%	1.01	16.1
Anubis	130	58%	1.19	17.2
Nuke	67	63%	1.16	16.3
Ancient	57	58%	1.13	16.6
Inferno	55	49%	1.07	15.9
Train	7	57%	1.30	17.1
Overpass	4	0%	0.82	15.8

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.

27.6%Headshot accuracy

39.4%Accuracy (enemy spotted)

42.0%Spray accuracy

91.2%Counter-strafing

7.7°Preaim

578msReaction time

34.0%T opening success

55.5%CT opening success

0.71Enemies flashed / flash

12.9%Flash assists

8.76HE damage / grenade

6.04Flashes / 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 34.0252% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–16	-0.05	20%	27 Aug →
anubis	13–10	0.04	38%	26 Aug →
anubis	13–4	0.05	26%	26 Aug →
ancient	10–13	0.02	16%	24 Aug →
dust2	16–14	0.01	22%	24 Aug →
dust2	8–13	-0.04	15%	23 Aug →
dust2	2–13	-0.05	16%	20 Aug →
dust2	10–13	-0.00	21%	20 Aug →
ancient	13–6	0.03	37%	19 Aug →
dust2	9–13	-0.01	43%	19 Aug →
dust2	4–13	-0.08	24%	18 Aug →
mirage	13–11	-0.04	41%	17 Aug →
anubis	13–1	0.08	21%	17 Aug →
dust2	13–11	-0.00	14%	16 Aug →
dust2	10–13	0.02	30%	14 Aug →
dust2	13–10	0.06	26%	13 Aug →
dust2	13–5	0.04	37%	12 Aug →
mirage	5–13	-0.01	14%	12 Aug →
dust2	10–13	0.00	33%	10 Aug →
dust2	13–3	0.05	26%	10 Aug →
nuke	5–13	-0.05	35%	10 Aug →
ancient	13–4	0.00	20%	10 Aug →
dust2	11–13	0.00	23%	10 Aug →
anubis	8–13	0.05	30%	9 Aug →
cache	13–11	-0.05	43%	9 Aug →
dust2	16–14	0.03	30%	9 Aug →
dust2	10–13	0.02	26%	6 Aug →
anubis	2–13	-0.09	29%	6 Aug →
ancient	13–0	0.04	32%	6 Aug →
cache	11–13	0.05	36%	6 Aug →
mirage	7–13	-0.01	26%	6 Aug →
anubis	16–12	-0.03	20%	5 Aug →
anubis	1–9	-0.13	50%	5 Aug →
anubis	13–5	0.09	21%	4 Aug →
nuke	10–13	-0.07	35%	4 Aug →
anubis	15–15	-0.04	16%	4 Aug →
ancient	11–13	-0.05	24%	4 Aug →
mirage	13–10	0.01	26%	3 Aug →
ancient	13–10	-0.05	24%	2 Aug →
mirage	15–15	-0.04	27%	2 Aug →
dust2	13–3	-0.01	14%	15 Jul →
dust2	13–11	0.00	22%	11 Jul →
dust2	14–16	-0.01	37%	11 Jul →
anubis	13–9	0.02	23%	11 Jul →
dust2	9–13	0.01	25%	7 Jul →
nuke	7–7	0.01	14%	27 Jun →
dust2	6–13	-0.02	23%	27 Jun →
dust2	8–13	-0.04	26%	16 Jun →
mirage	19–16	0.01	23%	15 Jun →
mirage	7–13	-0.11	19%	13 Jun →
dust2	7–13	-0.00	29%	13 Jun →
dust2	13–2	0.04	24%	13 Jun →
dust2	2–13	-0.02	27%	13 Jun →
dust2	13–10	0.05	23%	13 Jun →
dust2	8–13	-0.01	25%	12 Jun →
mirage	13–8	-0.01	13%	12 Jun →
mirage	13–1	0.11	20%	12 Jun →
dust2	13–11	-0.01	22%	12 Jun →
nuke	13–6	0.01	26%	11 Jun →
dust2	13–9	0.09	37%	8 Jun →
anubis	5–13	-0.01	32%	8 Jun →
ancient	8–13	-0.02	33%	7 Jun →
ancient	7–13	-0.04	30%	7 Jun →
anubis	13–10	0.03	23%	4 Jun →
ancient	13–3	-0.06	35%	4 Jun →
cache	11–13	-0.03	19%	3 Jun →
inferno	8–13	-0.04	29%	3 Jun →
nuke	13–8	-0.06	17%	3 Jun →
ancient	7–13	-0.07	24%	3 Jun →
ancient	13–7	0.01	36%	27 May →
anubis	13–3	0.08	29%	27 May →
dust2	13–11	-0.03	22%	21 May →
mirage	6–13	-0.02	33%	20 May →
inferno	3–13	-0.09	14%	20 May →
anubis	13–11	-0.05	8%	17 May →
mirage	12–16	0.01	24%	15 May →
dust2	13–9	-0.02	15%	14 May →
dust2	22–20	-0.01	24%	14 May →
dust2	6–13	-0.07	10%	13 May →
dust2	12–16	-0.03	19%	13 May →
dust2	13–3	0.12	20%	12 May →
anubis	10–13	0.02	20%	12 May →
nuke	9–13	0.09	29%	12 May →
cache	12–16	-0.03	26%	12 May →
dust2	0–4	-0.08	0%	11 May →
dust2	13–9	0.09	23%	11 May →
ancient	13–6	-0.01	26%	11 May →
ancient	9–13	0.00	30%	10 May →
mirage	15–15	-0.00	24%	10 May →
nuke	13–3	-0.01	31%	9 May →
dust2	5–13	-0.03	26%	9 May →
ancient	11–13	-0.06	27%	9 May →
dust2	13–8	0.00	26%	9 May →
mirage	13–8	-0.02	16%	9 May →
dust2	13–6	-0.03	32%	9 May →
dust2	13–10	-0.07	22%	9 May →
anubis	16–13	-0.01	25%	3 May →
mirage	3–13	0.04	26%	3 May →
mirage	13–9	0.04	13%	3 May →
cache	6–13	-0.01	29%	30 Apr →