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Baggins — CS2 Stats

76561197991598063[U:1:31332335]

2,408Tracked matches70%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 10 · 2,246 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGBagginsFACEITLevel 10 · 2,246 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning39
Utility52

0–100 skill scores via Leetify.

Recent form

HOT57–43Last 10057%Win rateLWWWWWWLWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.0
Aggression4.5
Utility5.2
Positioning3.9
Opening Duels0.4
Clutch3.4

Limited utility dependence

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim7.0
Positioning3.9
Utility5.2
Mechanics5.1
Opening Duels1.1
Win Impact10.0

Composite 5.5/10 (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 rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time556ms−44ms
first ⅓ avg 600ms → last ⅓ avg 556ms
Headshot accuracy18.1%−3.9%
first ⅓ avg 22.0% → last ⅓ avg 18.1%

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

0.13Best rating — overpass 13–9
13–1Biggest win — dust2
8Longest win streak
6–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA2313–1057%0.01
mirageA2212–1055%-0.00
dust2A127–558%0.03
ancientB126–650%0.00
overpassS107–370%0.02
anubisS86–275%-0.00
infernoS64–267%0.03
train—41–325%0.02
cache—21–150%-0.00
vertigo—10–10%0.01

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

3,375Matches
51%Win rate
1.08Avg K/D
75.9ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage46350%1.0915.3
Anubis21648%1.0215.8
Ancient21146%1.0715.2
Nuke20258%1.1515.7
Dust28944%0.9714.7
Overpass6250%1.0317.2
Vertigo5454%1.0714.7
Inferno4945%1.0415.3

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.

17.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.5%Spray accuracy
72.9%Counter-strafing
8.4°Preaim
540msReaction time
24.9%T opening success
38.7%CT opening success
0.67Enemies flashed / flash
11.1%Flash assists
7.62HE damage / grenade
4.65Flashes / 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 24.892% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0716%28 Aug →
mirage13–10-0.068%28 Aug →
mirage16–13-0.0516%24 Aug →
dust213–80.0429%19 Aug →
mirage13–40.0617%18 Aug →
nuke13–11-0.0316%18 Aug →
ancient16–13-0.0012%14 Aug →
dust24–13-0.0219%13 Aug →
nuke13–10-0.0118%4 Aug →
inferno10–13-0.0029%4 Aug →
nuke13–20.0840%22 Jul →
anubis9–13-0.0419%22 Jul →
cache5–13-0.0112%7 Jul →
nuke10–13-0.0327%6 Jul →
overpass11–13-0.0510%4 Jul →
mirage13–40.0212%4 Jul →
overpass16–14-0.0512%2 Jul →
dust213–10.0118%1 Jul →
dust213–60.0718%16 Jun →
ancient8–13-0.069%3 Jun →
mirage13–8-0.0217%2 Jun →
anubis13–6-0.0217%1 Jun →
overpass13–20.0722%1 Jun →
overpass13–11-0.0410%27 May →
nuke13–50.0526%24 May →
nuke13–70.0717%22 May →
overpass13–5-0.0119%12 May →
anubis13–7-0.0112%31 Jan →
ancient1–13-0.190%18 Jan →
dust216–13-0.0023%18 Jan →
ancient8–130.0536%18 Jan →
inferno13–80.0926%18 Jan →
mirage13–70.0314%18 Jan →
overpass13–110.0920%17 Jan →
vertigo7–130.0124%24 Oct →
dust213–10.0824%24 Oct →
train13–10-0.0123%14 Oct →
ancient13–100.0820%4 Oct →
nuke11–130.0517%3 Oct →
mirage8–13-0.0126%3 Oct →
ancient10–130.0126%1 Oct →
mirage8–13-0.0812%1 Oct →
mirage8–13-0.0421%27 Sept →
nuke16–19-0.0120%24 Sept →
ancient16–130.0534%21 Sept →
mirage13–10-0.0214%18 Sept →
overpass13–80.0312%15 Sept →
mirage1–130.0213%14 Sept →
overpass22–250.0114%11 Sept →
nuke6–13-0.0419%11 Sept →
inferno13–70.0917%29 Aug →
dust213–70.1028%28 Aug →
nuke13–10.0924%27 Aug →
overpass7–13-0.0115%27 Aug →
ancient8–13-0.0229%26 Aug →
mirage8–13-0.0318%3 Jul →
mirage13–30.1214%1 Jul →
mirage6–130.0122%30 Jun →
train11–130.0317%30 Jun →
mirage3–13-0.0728%26 Jun →
mirage9–13-0.0517%21 Jun →
nuke13–40.034%21 Jun →
dust213–50.1032%21 Jun →
nuke5–13-0.0213%15 Jun →
inferno13–50.0527%14 Jun →
nuke13–160.0116%14 Jun →
anubis1–13-0.0819%14 Jun →
mirage9–13-0.0022%14 Jun →
anubis13–20.0922%14 Jun →
nuke13–100.0318%14 Jun →
ancient13–70.0928%13 Jun →
dust210–13-0.0218%13 Jun →
mirage16–120.0319%13 Jun →
cache13–80.0114%13 Jun →
train17–190.0013%8 Jun →
anubis16–12-0.0011%29 May →
nuke11–130.0619%26 May →
nuke1–5-0.0440%23 May →
mirage13–60.0730%23 May →
inferno13–11-0.0229%23 May →
nuke13–100.0320%23 May →
train10–130.0531%23 May →
inferno11–13-0.0328%23 May →
nuke13–6-0.0210%5 May →
nuke9–40.0838%5 May →
anubis13–90.0218%28 Apr →
nuke13–10-0.0621%25 Apr →
mirage13–7-0.0226%18 Apr →
dust211–130.0323%14 Apr →
nuke16–14-0.049%4 Apr →
mirage13–8-0.0320%3 Apr →
dust211–13-0.0122%3 Mar →
overpass13–90.1326%25 Feb →
dust24–13-0.0529%10 Feb →
nuke12–160.0114%19 Jan →
ancient13–5-0.0319%15 Jan →
ancient13–10-0.0317%12 Jan →
mirage12–160.0327%6 Jan →
ancient11–130.0817%15 Dec →
anubis13–100.0027%29 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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