amor vincit omnia — CS2 Stats

76561198234311532[U:1:274045804]

4,500Tracked matches74%Win rate2020Tracked since
CSDB Rating8.4 StrongEntry Fragger
FaceitLevel 10 · 2,976 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGamor vincit omniaFACEITLevel 10 · 2,976 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim95
Positioning78
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY59356Last 10059%Win rateTWLWWWLWWL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.5
Aggression10.0
Utility6.4
Positioning7.8
Opening Duels6.6
Clutch3.8

Sharp aimerStrong 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

s1mple

Plays most like s1mple 98% playstyle similarity

Most alike: opening-fight frequency, positioning 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 95 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 69% on CT to 44% 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

Aim9.5
Positioning7.8
Utility6.4
Mechanics8.1
Opening Duels6.6
Win Impact10.0

Composite 8.4/10 (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 rating0.06+0.04
first ⅓ avg 0.02 → last ⅓ avg 0.06
Reaction time507ms−62ms
first ⅓ avg 568ms → last ⅓ avg 507ms
Headshot accuracy20.5%−1.7%
first ⅓ avg 22.2% → last ⅓ avg 20.5%

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

0.22Best rating — dust2 13–10
130Biggest win — ancient
7Longest win streak
68In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 63% over 27ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA30171357%0.04
dust2A27171063%0.04
infernoA1811761%0.03
ancientB126650%0.03
nuke41325%-0.01
anubis32167%0.05
overpass32167%0.03
cache220100%0.06
train110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,214Matches
53%Win rate
1.18Avg K/D
84.3ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage93655%1.2016.8
Dust249052%1.2117.3
Ancient44656%1.2016.6
Anubis39853%1.1616.8
Inferno24055%1.1716.1
Overpass11146%1.1015.5
Nuke4439%1.1316.3
Train2050%1.3417.3

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.

22.0%Headshot accuracy
44.0%Accuracy (enemy spotted)
39.3%Spray accuracy
86.4%Counter-strafing
7.0°Preaim
510msReaction time
43.7%T opening success
69.2%CT opening success
0.67Enemies flashed / flash
8.3%Flash assists
13.49HE damage / grenade
9.46Flashes / match

Recent matches

MapScoreRatingHS%Date
dust215–150.0725%23 Jul
dust213–9-0.0429%21 Jul
mirage0–2-0.110%17 Jul
cache13–60.1117%17 Jul
cache13–50.0116%17 Jul
mirage13–30.1219%11 Jun
dust27–13-0.0519%11 Jun
anubis13–70.0630%3 Jun
mirage13–60.0529%3 Jun
inferno8–100.1129%31 May
overpass13–50.0542%31 May
ancient13–40.0413%5 May
mirage13–5-0.0323%5 May
ancient0–3-0.010%4 May
mirage13–50.1216%27 Apr
dust213–100.0820%27 Apr
mirage13–60.1923%25 Apr
mirage5–13-0.028%25 Apr
ancient13–00.0913%25 Apr
mirage13–50.0720%25 Apr
dust213–70.1313%25 Apr
dust216–130.2221%22 Apr
mirage15–150.0820%21 Apr
mirage6–130.1515%21 Apr
mirage13–70.0724%18 Apr
dust213–10.1427%18 Apr
mirage15–150.1326%17 Apr
dust213–50.0830%11 Apr
mirage13–110.0131%5 Apr
inferno9–130.0115%5 Apr
mirage14–16-0.0124%2 Apr
dust213–10.0718%2 Apr
dust29–13-0.0620%2 Apr
dust28–130.0629%2 Apr
mirage13–10.1525%30 Mar
ancient11–130.0521%30 Mar
dust213–40.0832%30 Mar
ancient15–150.0116%28 Mar
inferno9–130.0320%28 Mar
dust213–100.0023%28 Mar
ancient13–10-0.0613%26 Mar
dust213–100.2240%26 Mar
dust23–13-0.0010%23 Mar
overpass13–70.0516%21 Mar
dust213–110.0516%21 Mar
inferno8–8-0.029%21 Mar
nuke9–60.0450%21 Mar
inferno8–8-0.0417%21 Mar
mirage5–13-0.0921%21 Mar
mirage10–13-0.0144%19 Mar
mirage11–130.0127%15 Mar
ancient13–110.0623%15 Mar
mirage6–13-0.0224%14 Mar
inferno13–90.0141%4 Mar
inferno16–120.0422%3 Mar
inferno11–13-0.045%2 Mar
mirage13–90.0641%23 Feb
dust213–4-0.0020%23 Feb
inferno13–60.1538%23 Feb
dust216–14-0.0425%22 Feb
ancient10–130.0232%22 Feb
dust27–130.0726%22 Feb
dust27–13-0.0238%10 Feb
inferno13–60.0815%9 Feb
nuke12–160.0521%7 Feb
anubis9–110.0622%28 Jan
mirage13–6-0.0131%26 Jan
anubis13–50.0317%25 Jan
mirage7–130.009%23 Jan
inferno13–70.2037%17 Jan
ancient13–40.1013%11 Jan
mirage13–20.0929%9 Jan
dust24–13-0.0418%7 Jan
dust22–13-0.069%7 Jan
dust25–130.0623%5 Jan
dust213–70.0122%5 Jan
mirage13–50.1123%5 Jan
mirage8–130.0017%5 Jan
inferno13–100.0424%4 Jan
nuke14–16-0.0426%4 Jan
ancient10–13-0.0114%4 Jan
inferno5–130.0324%4 Jan
train13–30.0326%4 Jan
inferno13–8-0.0717%3 Jan
mirage16–140.0125%3 Jan
mirage13–40.0424%3 Jan
dust213–100.0120%3 Jan
nuke3–6-0.1236%2 Jan
mirage0–13-0.0915%2 Jan
ancient8–130.0626%1 Jan
inferno16–12-0.0021%30 Dec
dust213–60.0518%30 Dec
overpass8–13-0.0141%30 Dec
mirage13–5-0.0138%30 Dec
inferno16–14-0.0431%30 Dec
mirage13–10.0823%30 Dec
dust213–50.1026%30 Dec
inferno13–90.0414%29 Dec
inferno13–1-0.0511%28 Dec
ancient13–4-0.0119%28 Dec

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 MatchesAim 90+
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