Amigo

Amigo — CS2 Stats

76561198152252826[U:1:191987098]Steam profile ↗✓ No bans

942Tracked matches52%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGAmigoFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning37
Utility53

0–100 skill scores via Leetify.

Recent form

COLD464311Last 10046%Win rateLWWLLLWLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression2.7
Utility5.3
Positioning3.7
Opening Duels0.0
Clutch2.2

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

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 595ms 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

Aim6.6
Positioning3.7
Utility5.3
Mechanics5.5
Opening Duels0.1
Win Impact5.6

Composite 4.9/10 (Developing), 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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time609ms−47ms
first ⅓ avg 655ms → last ⅓ avg 609ms
Headshot accuracy17.8%−5.4%
first ⅓ avg 23.3% → last ⅓ avg 17.8%

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

0.18Best rating — train 13–6
132Biggest win — cache
6Longest win streak
65In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 58% over 12infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B30141647%0.00
mirageB168850%0.00
cacheC156940%-0.02
infernoD1441029%-0.01
nukeA127558%-0.02
ancient3030%0.00
anubis21150%0.01
fachwerk21150%-0.04
train220100%0.09
poseidon110100%0.07
shelter110100%-0.01
boulder110100%-0.04
office1010%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

82Matches
60%Win rate
1.11Avg K/D
74.3ADR
47%Headshot %

Clutches & streaks

31%1v1 clutch win
31%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2462%1.0414.0
Inferno1580%1.1317.5
Dust21362%1.1915.0
Anubis1050%0.9714.5
Ancient771%1.0814.9
Vertigo729%1.5317.1
Cache333%0.9716.0
Overpass250%0.8212.5

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.

17.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
36.2%Spray accuracy
74.9%Counter-strafing
9.0°Preaim
595msReaction time
23.5%T opening success
30.8%CT opening success
0.52Enemies flashed / flash
4.0%Flash assists
8.82HE damage / grenade
10.49Flashes / 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 23.5035% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–13-0.1114%27 Aug
inferno13–6-0.0226%27 Aug
cache13–20.0023%27 Aug
mirage10–13-0.0526%27 Aug
cache7–13-0.0614%27 Aug
inferno11–13-0.0113%26 Aug
cache13–11-0.069%25 Aug
nuke4–13-0.0621%25 Aug
dust28–13-0.0212%25 Aug
ancient8–130.0417%17 Aug
mirage9–13-0.0212%17 Aug
dust213–60.0215%17 Aug
dust213–10-0.0412%15 Aug
cache2–13-0.0118%15 Aug
nuke13–6-0.0226%15 Aug
mirage9–13-0.0215%15 Aug
nuke13–10-0.0022%7 Aug
dust212–12-0.0312%7 Aug
nuke13–11-0.0015%6 Aug
cache13–70.0318%5 Aug
mirage13–80.0716%5 Aug
dust213–8-0.0122%5 Aug
poseidon9–40.0730%3 Aug
mirage13–90.0517%31 Jul
inferno9–130.0624%31 Jul
nuke5–13-0.0317%31 Jul
mirage16–130.0117%30 Jul
inferno10–130.0017%30 Jul
mirage13–110.1112%29 Jul
inferno3–13-0.0729%28 Jul
shelter13–7-0.0125%28 Jul
cache16–14-0.0315%26 Jul
nuke13–11-0.0611%26 Jul
cache12–120.0723%26 Jul
mirage2–13-0.0329%26 Jul
dust213–4-0.0110%25 Jul
nuke13–90.0720%24 Jul
anubis13–50.0513%23 Jul
nuke8–13-0.0518%23 Jul
dust212–120.1319%21 Jul
inferno8–13-0.0324%20 Jul
mirage7–13-0.0318%20 Jul
dust213–5-0.0317%20 Jul
nuke5–13-0.0617%19 Jul
mirage5–1-0.040%19 Jul
dust26–13-0.0410%18 Jul
inferno7–13-0.0614%18 Jul
inferno12–12-0.0516%18 Jul
dust213–100.0615%17 Jul
inferno13–70.0724%17 Jul
mirage4–13-0.0522%17 Jul
nuke13–40.0216%17 Jul
fachwerk3–13-0.0313%17 Jul
cache12–12-0.0313%17 Jul
dust213–80.0823%15 Jul
cache8–130.0313%15 Jul
dust211–130.0220%15 Jul
boulder13–9-0.048%13 Jul
inferno2–130.0126%13 Jul
mirage11–5-0.0018%13 Jul
dust211–130.0421%13 Jul
dust22–13-0.0321%13 Jul
office12–12-0.005%12 Jul
fachwerk13–6-0.0523%9 Jul
cache6–13-0.0425%5 Jul
dust213–40.0819%4 Jul
dust26–130.0225%4 Jul
cache12–5-0.0635%4 Jul
dust211–130.0624%4 Jul
dust213–7-0.0226%30 Jun
cache5–13-0.0427%28 Jun
ancient12–120.0211%28 Jun
nuke3–9-0.0030%26 Jun
cache13–9-0.0319%26 Jun
dust210–13-0.0714%26 Jun
train13–60.1838%23 Jun
inferno13–90.0521%23 Jun
dust213–8-0.0319%23 Jun
dust212–120.0515%23 Jun
dust213–50.0321%23 Jun
inferno13–90.0517%23 Jun
cache11–13-0.0120%23 Jun
dust212–12-0.0213%22 Jun
inferno3–13-0.0637%22 Jun
train6–60.0113%22 Jun
dust210–13-0.0216%22 Jun
inferno5–13-0.0735%22 Jun
dust29–13-0.0222%22 Jun
mirage12–12-0.0113%21 Jun
dust213–30.0216%21 Jun
mirage13–80.0124%21 Jun
mirage13–30.0521%21 Jun
dust27–13-0.0975%21 Jun
dust213–40.0826%21 Jun
cache6–13-0.0126%21 Jun
dust213–90.0433%21 Jun
nuke13–10-0.0311%20 Jun
mirage12–12-0.0511%19 Jun
anubis1–13-0.0322%19 Jun
ancient5–13-0.0618%15 Jun

Match data via Leetify.

Recent teammates

Milestones

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