Alfred

Alfred — CS2 Stats

76561197961041975[U:1:776247]Steam profile ↗✓ No bans

815Tracked matches62%Win rate2021Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating19,605Top 50% of 215,386 CSDB-tracked playersPurple band · top ~10.1% of ranked players (population est.)
CSDB Leaderboard#92518 of 261648 tracked
FaceitLevel 10 · 1,595 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (9 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: 19,605 +3,105 26 Jul – 6 Nov · 25 days played
16,50020,102peak 20,10226 Jul6 Nov
Faceit ELO: 1,595 +0 21 Sept – 3 Nov · 2 observations
1,5951,595peak 1,59521 Sept3 Nov
20,102Peak Premier in tracked matches
1,595Highest Faceit ELO seen on CSDB
44Days played since 2026-07-17

Faceit ELO

  • At peak — 1,595
  • Next: Level 9 at 1,751 — 156 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-21
  • Level 7 first seen 2026-09-21

Premier CS Rating

  • 497 below peak (20,102)
  • +310 over 30 days · steady
  • +309 over 90 days
  • Next: Pink band at 20,000 — 395 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGAlfredFACEITLevel 10 · 1,595 ELOSTANDINGTop 12.4% of rankedPREMIER19,605 · Purple bandPEAK ELO1,595csdb.gg/stats

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Performance scores

Aim85
Positioning67
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateWWLLWWLWWT

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −8.2pp headshot accuracy · +55ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 533ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 544ms

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 (+2.6 against its own average).

Aim8.5
Utility4.8
Positioning6.7
Opening Duels2.4
Clutch2.4

Sharp aimer

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

iM

Plays most like iM 94% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 65% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim8.5
Positioning6.7
Utility4.8
Mechanics7.0
Opening Duels5.1
Win Impact8.8

Composite 7.0/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time545ms−19ms
first ⅓ avg 563ms → last ⅓ avg 545ms
Headshot accuracy24.4%+1.2%
first ⅓ avg 23.2% → last ⅓ avg 24.4%

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

0.19Best match rating · 13–7 · cache, 28 Sept →
56%Best headshot accuracy · 13–0 · nuke, 26 Jul →
422msFastest reaction time · 13–7 · ancient, 28 Sept →
13–0Biggest win · nuke, 26 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
7–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 68% over 25infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3317–1652%0.01
cacheS2517–868%0.04
anubisA116–555%0.01
dust2A117–464%0.02
infernoD92–722%0.00
ancientB63–350%0.03
nuke—42–250%-0.01
office—10–10%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

326Matches
57%Win rate
1.36Avg K/D
85.0ADR
50%Headshot %

Clutches & streaks

32%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage9762%1.4617.8
Dust22665%1.3616.9
Nuke2560%1.0418.0
Anubis1958%1.3616.2
Ancient1547%1.0613.5
Inferno1233%1.0012.9
Overpass1060%1.2718.0
Cache944%1.1317.7

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.

24.7%Headshot accuracy
36.1%Accuracy (enemy spotted)
33.5%Spray accuracy
81.7%Counter-strafing
7.8°Preaim
542msReaction time
65.3%T opening success
35.9%CT opening success
0.48Enemies flashed / flash
5.3%Flash assists
9.89HE damage / grenade
8.99Flashes / 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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4777 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.9107% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–1-0.0118%13 Nov →
anubis13–9-0.017%13 Nov →
anubis4–130.0229%13 Nov →
mirage14–160.0132%6 Nov →
cache13–80.0819%6 Nov →
cache13–90.0328%6 Nov →
dust28–13-0.0311%31 Oct →
cache13–100.0432%30 Oct →
ancient13–30.0615%30 Oct →
mirage12–120.0712%30 Oct →
office12–120.0831%30 Oct →
mirage13–100.1124%30 Oct →
cache13–80.0425%22 Oct →
mirage12–120.0840%22 Oct →
cache9–130.0324%22 Oct →
cache13–110.0731%22 Oct →
dust213–40.1338%18 Oct →
cache13–60.0427%18 Oct →
mirage4–13-0.0524%18 Oct →
dust213–70.0821%16 Oct →
mirage11–13-0.0518%16 Oct →
cache13–3-0.0022%16 Oct →
mirage12–120.0729%16 Oct →
cache13–90.0542%15 Oct →
mirage13–100.1030%15 Oct →
cache10–13-0.0328%15 Oct →
dust219–17-0.0222%12 Oct →
mirage6–13-0.0619%11 Oct →
mirage5–13-0.1015%8 Oct →
inferno9–13-0.0420%8 Oct →
nuke9–13-0.0133%8 Oct →
ancient13–30.0114%4 Oct →
anubis13–80.0726%1 Oct →
mirage13–70.0826%1 Oct →
mirage13–20.0715%1 Oct →
anubis11–13-0.018%1 Oct →
cache13–6-0.0335%28 Sept →
dust213–2-0.0521%28 Sept →
nuke3–130.0333%28 Sept →
cache13–70.1925%28 Sept →
ancient13–7-0.008%28 Sept →
cache7–13-0.0322%27 Sept →
mirage13–100.0326%27 Sept →
cache13–20.0317%27 Sept →
dust213–70.0319%27 Sept →
ancient7–130.0526%27 Sept →
anubis5–13-0.0629%27 Sept →
inferno13–30.1021%27 Sept →
mirage13–10-0.0224%14 Sept →
anubis3–13-0.0615%14 Sept →
mirage11–13-0.0719%14 Sept →
mirage13–10-0.0211%14 Sept →
mirage13–110.0125%13 Sept →
mirage11–13-0.0637%4 Sept →
mirage13–60.0325%4 Sept →
cache13–8-0.0424%3 Sept →
ancient17–190.0420%2 Sept →
cache11–13-0.0231%1 Sept →
dust213–90.0228%31 Aug →
dust213–20.0027%31 Aug →
cache13–70.1124%30 Aug →
inferno6–9-0.0223%30 Aug →
anubis13–80.1417%30 Aug →
cache13–9-0.0121%30 Aug →
mirage11–130.0424%26 Aug →
dust29–13-0.0420%26 Aug →
mirage10–130.0715%23 Aug →
inferno5–13-0.0618%22 Aug →
mirage16–140.0114%22 Aug →
cache8–130.0614%20 Aug →
dust211–130.0629%19 Aug →
mirage13–30.0221%19 Aug →
cache13–70.1628%18 Aug →
mirage4–13-0.0622%17 Aug →
mirage13–70.0320%17 Aug →
mirage8–13-0.0731%13 Aug →
mirage4–13-0.088%9 Aug →
nuke13–11-0.1116%7 Aug →
cache15–150.0431%7 Aug →
cache4–130.0230%6 Aug →
mirage13–50.1026%6 Aug →
cache13–100.0127%30 Jul →
mirage6–20.0417%30 Jul →
cache9–130.0224%30 Jul →
inferno8–130.0336%30 Jul →
mirage5–13-0.0332%29 Jul →
anubis13–110.0419%28 Jul →
mirage13–110.0520%28 Jul →
inferno13–80.0612%27 Jul →
inferno3–10-0.0223%26 Jul →
mirage13–9-0.0534%26 Jul →
nuke13–00.0456%26 Jul →
anubis13–8-0.0412%23 Jul →
inferno9–13-0.1112%22 Jul →
anubis15–150.0428%22 Jul →
inferno9–130.0823%21 Jul →
ancient14–160.0019%21 Jul →
mirage13–30.0624%20 Jul →
dust24–13-0.0117%20 Jul →
cache13–50.0624%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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