🍄Alfi — CS2 Stats

76561198201225262[U:1:240959534]Steam profile ↗✓ No bans

1,690Tracked matches52%Win rate2020Tracked since

2,421Hours in CS22Hrs last 2 wks

CSDB Rating6.9 SolidPositional Player

Premier CS Rating22,574Top 25% of 212,695 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#48916 of 259536 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,574 +2,532 2 Sept – 30 Oct · 25 days played

24,104Peak Premier in tracked matches

2,001Highest Faceit ELO seen on CSDB

24Days played since 2024-10-26

Premier CS Rating

1,530 below peak (24,104)
+1,439 over 30 days · improving
Next: Red band at 25,000 — 2,426 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-02
Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	48.7%	50.9%
Shot accuracy	11.6%	13.7%
Kill/death ratio	1.15	1.09
Match win rate	51.5%	48.4%

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Performance scores

Aim77

Positioning72

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLWWLLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.6pp headshot accuracy · −0ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 16%
Avg reaction 514ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 573ms

Last 20

10–10 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 574ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim7.7

Utility6.6

Positioning7.2

Opening Duels6.2

Clutch0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like device 87% playstyle similarity

Most alike: positioning profile, 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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 551ms 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

Aim7.7

Positioning7.2

Utility6.6

Mechanics5.1

Opening Duels7.4

Win Impact5.6

Composite 6.9/10 (Solid), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time548ms−15ms

first ⅓ avg 564ms → last ⅓ avg 548ms

Headshot accuracy20.6%−0.4%

first ⅓ avg 21.0% → last ⅓ avg 20.6%

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.

Personal bests

0.18Best match rating · 13–3 · ancient, 20 Sept →

33%Best headshot accuracy · 7–13 · anubis, 13 Sept →

328msFastest reaction time · 4–5 · mirage, 7 Oct →

13–0Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 83% over 12mirageWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	20	15–5	75%	0.02
inferno	B	20	9–11	45%	0.04
dust2	A	16	9–7	56%	0.03
mirage	D	14	4–10	29%	0.01
cache	S	12	10–2	83%	0.04
anubis	D	9	3–6	33%	-0.00
ancient	C	8	3–5	38%	0.04
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,924Lifetime kills

1.15K/D · Top 50% of Level 10 players

2,990Matches

51.5%Match win rate · Top 25% of Level 10 players

48.7%Headshot %

11.6%Shot accuracy

9,427MVPs

1,500Hours (in match)

6,121Bombs planted

990Bombs defused

Most-used weapons

AK-4724,893

M4A4 / M4A1-S11,782

AWP7,025

Desert Eagle4,540

P2000 / USP-S3,822

Glock-182,659

P2501,644

Galil AR1,533

MP91,436

Tec-9894

Lifetime map wins

7,462inferno

6,414dust2

4,263nuke

1,403vertigo

1,225train

246office

205cbble

85italy

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

Faceit stats

Combat

251Matches

55%Win rate

1.27Avg K/D

107.6ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

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.

21.4%Headshot accuracy

37.6%Accuracy (enemy spotted)

40.0%Spray accuracy

72.9%Counter-strafing

10.0°Preaim

551msReaction time

52.2%T opening success

66.9%CT opening success

0.62Enemies flashed / flash

4.1%Flash assists

8.67HE damage / grenade

13.75Flashes / match

Recommended for you

Spend your practice time on Mirage

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	0.02	19%	30 Oct →
nuke	13–4	0.05	12%	30 Oct →
dust2	13–6	0.08	19%	30 Oct →
inferno	7–13	0.00	15%	30 Oct →
inferno	3–13	0.04	19%	30 Oct →
mirage	4–13	-0.06	27%	25 Oct →
dust2	9–13	-0.03	28%	25 Oct →
nuke	13–8	-0.02	19%	24 Oct →
nuke	9–0	-0.01	8%	24 Oct →
anubis	10–13	0.00	27%	24 Oct →
nuke	9–13	0.05	26%	24 Oct →
mirage	16–14	0.06	30%	24 Oct →
nuke	6–13	0.00	23%	23 Oct →
dust2	13–4	-0.03	23%	23 Oct →
anubis	11–13	-0.07	28%	23 Oct →
inferno	13–10	0.09	22%	23 Oct →
anubis	13–11	0.07	30%	23 Oct →
mirage	13–8	0.02	14%	23 Oct →
inferno	8–13	-0.01	21%	23 Oct →
inferno	13–10	0.07	19%	23 Oct →
cache	13–6	0.06	19%	23 Oct →
nuke	13–8	0.06	24%	23 Oct →
inferno	9–13	0.03	17%	21 Oct →
dust2	15–15	0.04	15%	21 Oct →
cache	13–6	0.09	25%	21 Oct →
dust2	13–9	0.10	23%	21 Oct →
mirage	8–13	-0.01	21%	17 Oct →
inferno	11–13	0.03	23%	11 Oct →
nuke	13–4	0.12	17%	11 Oct →
mirage	4–5	0.02	12%	7 Oct →
inferno	13–5	0.01	28%	6 Oct →
cache	13–6	-0.01	20%	6 Oct →
mirage	6–13	-0.01	12%	6 Oct →
nuke	13–3	0.15	15%	5 Oct →
inferno	9–13	0.06	17%	5 Oct →
cache	13–6	0.07	27%	5 Oct →
ancient	15–15	-0.02	10%	4 Oct →
cache	13–11	0.01	22%	4 Oct →
inferno	10–13	0.04	28%	4 Oct →
nuke	13–9	0.02	20%	4 Oct →
dust2	2–13	-0.08	17%	4 Oct →
inferno	11–13	0.07	27%	3 Oct →
cache	13–5	0.04	22%	3 Oct →
inferno	13–4	0.05	13%	3 Oct →
mirage	9–13	0.01	17%	3 Oct →
nuke	16–14	-0.00	20%	2 Oct →
nuke	16–13	0.07	21%	2 Oct →
nuke	10–13	0.03	23%	2 Oct →
dust2	13–5	0.16	21%	2 Oct →
cache	1–13	-0.01	21%	2 Oct →
nuke	7–13	-0.04	13%	29 Sept →
nuke	13–11	0.03	25%	29 Sept →
inferno	5–13	-0.07	7%	29 Sept →
dust2	13–8	0.08	18%	29 Sept →
mirage	11–13	0.08	22%	29 Sept →
cache	7–13	-0.02	12%	29 Sept →
cache	13–10	0.04	16%	29 Sept →
anubis	9–13	-0.00	15%	29 Sept →
mirage	9–13	0.08	16%	29 Sept →
mirage	8–13	0.03	17%	29 Sept →
nuke	13–10	-0.04	13%	27 Sept →
vertigo	13–10	0.01	25%	27 Sept →
dust2	9–13	-0.05	26%	27 Sept →
mirage	13–7	0.05	21%	26 Sept →
inferno	13–11	0.12	28%	26 Sept →
cache	13–9	0.06	16%	26 Sept →
ancient	13–5	0.17	25%	26 Sept →
cache	13–7	0.15	23%	26 Sept →
inferno	16–14	0.03	12%	26 Sept →
ancient	10–13	0.12	28%	25 Sept →
inferno	13–0	0.14	21%	25 Sept →
ancient	13–2	-0.04	14%	25 Sept →
anubis	13–4	-0.03	20%	25 Sept →
ancient	7–13	-0.00	23%	23 Sept →
nuke	13–5	0.09	22%	23 Sept →
anubis	7–13	0.03	15%	23 Sept →
mirage	13–8	0.07	20%	23 Sept →
dust2	13–16	0.09	22%	23 Sept →
nuke	16–14	-0.03	26%	20 Sept →
ancient	13–3	0.18	23%	20 Sept →
cache	13–8	0.03	15%	20 Sept →
inferno	13–7	0.07	22%	20 Sept →
dust2	8–13	-0.03	21%	20 Sept →
nuke	13–4	0.04	22%	20 Sept →
mirage	3–13	-0.10	8%	16 Sept →
anubis	13–6	-0.02	18%	16 Sept →
nuke	13–8	-0.06	26%	16 Sept →
anubis	9–13	-0.03	18%	16 Sept →
inferno	14–16	-0.00	16%	13 Sept →
dust2	13–4	0.04	21%	13 Sept →
dust2	13–5	0.06	24%	13 Sept →
anubis	7–13	0.04	33%	13 Sept →
dust2	13–7	0.06	18%	13 Sept →
nuke	10–13	-0.09	19%	13 Sept →
inferno	3–1	-0.05	33%	13 Sept →
dust2	13–3	-0.01	26%	13 Sept →
inferno	1–10	-0.03	33%	12 Sept →
ancient	4–13	-0.04	26%	5 Sept →
mirage	7–13	-0.07	8%	4 Sept →
ancient	9–13	-0.03	18%	4 Sept →