ÆLMOND

ÆLMOND — CS2 Stats

76561198063070944[U:1:102805216]Steam profile ↗

1,206Tracked matches63%Win rate2020Tracked since
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating18,873Purple band · top ~13% of ranked players (population est.)
CSDB Leaderboard#23855 of 53612 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGÆLMONDFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,873 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning64
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateWLLWTWTTWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression10.0
Utility6.6
Positioning6.4
Opening Duels3.9

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

device

Plays most like device 95% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.6
Positioning6.4
Utility6.6
Mechanics6.8
Opening Duels4.4
Win Impact9.3

Composite 6.9/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time536ms−40ms
first ⅓ avg 576ms → last ⅓ avg 536ms
Headshot accuracy22.6%+1.8%
first ⅓ avg 20.8% → last ⅓ avg 22.6%

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.

Highlights

0.12Best rating — inferno 13–7
130Biggest win — inferno
7Longest win streak
96In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 82% over 11ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB47232449%0.01
dust2B158753%-0.00
mirageC145936%0.01
cacheS119282%-0.01
ancientD61517%-0.00
nuke43175%-0.01
anubis21150%-0.02
overpass1010%-0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

706Matches
51%Win rate
1.06Avg K/D
ADR
44%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

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.

22.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
36.0%Spray accuracy
80.5%Counter-strafing
10.1°Preaim
531msReaction time
26.7%T opening success
64.9%CT opening success
0.64Enemies flashed / flash
5.4%Flash assists
9.48HE damage / grenade
14.53Flashes / 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. 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 26.6718% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–2-0.0228%30 Aug
inferno11–13-0.0325%29 Aug
inferno10–130.0230%28 Aug
inferno13–20.0025%28 Aug
inferno12–120.0225%27 Aug
inferno13–110.0917%27 Aug
inferno12–120.0426%27 Aug
inferno12–12-0.0224%26 Aug
inferno13–70.1218%26 Aug
inferno13–110.0622%26 Aug
inferno8–13-0.0124%25 Aug
inferno13–00.0340%25 Aug
nuke13–9-0.0119%24 Aug
ancient13–90.0922%24 Aug
inferno3–13-0.0430%24 Aug
inferno10–13-0.029%23 Aug
inferno2–130.0017%23 Aug
inferno13–9-0.0119%23 Aug
inferno10–60.0128%23 Aug
inferno9–130.0118%22 Aug
inferno13–20.0513%22 Aug
inferno13–10-0.0822%20 Aug
inferno13–110.0224%19 Aug
inferno13–60.0121%19 Aug
dust213–110.0118%18 Aug
inferno3–13-0.0713%17 Aug
mirage11–13-0.0214%16 Aug
inferno12–5-0.0133%16 Aug
dust213–110.0033%15 Aug
inferno11–130.0327%15 Aug
inferno5–13-0.0316%15 Aug
dust27–130.0134%14 Aug
inferno13–6-0.0212%14 Aug
inferno13–80.1034%13 Aug
inferno13–90.0221%13 Aug
overpass5–9-0.170%12 Aug
ancient7–130.0212%12 Aug
mirage10–13-0.0116%11 Aug
ancient6–13-0.0418%11 Aug
inferno13–50.0853%10 Aug
ancient8–130.0636%10 Aug
cache13–11-0.0531%9 Aug
inferno13–40.0218%9 Aug
inferno7–130.0320%9 Aug
nuke3–13-0.0529%9 Aug
mirage13–16-0.0331%8 Aug
cache13–70.0529%8 Aug
dust213–60.0320%8 Aug
mirage13–40.0728%8 Aug
inferno1–13-0.0219%8 Aug
mirage13–40.0214%4 Aug
dust213–4-0.0216%4 Aug
inferno8–13-0.0018%3 Aug
inferno8–13-0.0016%31 Jul
ancient1–13-0.0713%31 Jul
cache10–13-0.0519%30 Jul
inferno10–130.0222%30 Jul
inferno10–13-0.0721%30 Jul
mirage6–130.0728%29 Jul
cache13–90.0224%29 Jul
cache8–50.118%28 Jul
dust213–60.0127%28 Jul
ancient8–13-0.0818%27 Jul
nuke13–60.0311%27 Jul
dust212–16-0.0412%27 Jul
inferno8–13-0.0033%26 Jul
inferno6–13-0.0120%24 Jul
cache13–11-0.0722%24 Jul
dust213–6-0.0618%24 Jul
dust214–160.0018%23 Jul
anubis2–13-0.0529%22 Jul
dust211–13-0.0014%22 Jul
inferno5–13-0.0515%21 Jul
inferno5–2-0.0412%21 Jul
mirage14–160.0425%21 Jul
mirage13–9-0.0621%21 Jul
cache13–8-0.0424%20 Jul
inferno13–50.0021%20 Jul
dust26–130.0424%19 Jul
mirage13–00.0344%19 Jul
mirage8–13-0.0220%19 Jul
dust29–13-0.0420%18 Jul
dust212–16-0.0023%18 Jul
mirage4–13-0.0430%18 Jul
cache13–40.0337%18 Jul
dust213–10.0015%18 Jul
mirage3–130.0241%18 Jul
cache16–14-0.0730%17 Jul
inferno10–130.0124%17 Jul
nuke13–70.0117%17 Jul
cache13–60.005%17 Jul
inferno13–7-0.0115%17 Jul
inferno13–11-0.0315%17 Jul
dust213–60.0015%16 Jul
anubis16–120.0225%16 Jul
mirage13–7-0.010%15 Jul
cache10–13-0.0626%15 Jul
inferno13–20.016%15 Jul
inferno4–130.0717%14 Jul
mirage8–130.0117%14 Jul

Match data via Leetify.

Milestones

1,000 Matches
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