Baguette — CS2 Stats

76561199160503062[U:1:1200237334]

604Tracked matches62%Win rate2024Tracked since
1,897Hours in CS39Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating10,514Blue band · top ~52.2% of ranked players (population est.)
CSDB Leaderboard#21631 of 30017 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate42.7%41.7%44.1%1.4% short
Shot accuracy0.0%8.8%11.4%11.4% short
Kill/death ratio0.990.971.030.04 short
Match win rate46.4%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGBaguettePREMIER10,514 · Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning45
Utility34

0–100 skill scores via Leetify.

Recent form

COLD52444Last 10052%Win rateWLLLTWLLLW

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

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

Aim7.0
Aggression4.5
Utility3.4
Positioning4.5
Opening Duels1.8
Clutch1.8

Strong CT-side openerLimited 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-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

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 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim7.0
Positioning4.5
Utility3.4
Mechanics6.7
Opening Duels2.4
Win Impact9.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time659ms−17ms
first ⅓ avg 676ms → last ⅓ avg 659ms
Headshot accuracy17.7%−0.2%
first ⅓ avg 17.9% → last ⅓ avg 17.7%

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

0.10Best rating — mirage 13–11
130Biggest win — dust2
8Longest win streak
103In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B25121348%-0.00
mirageB24111346%-0.01
nukeS1711665%-0.00
ancientD124833%-0.01
infernoA127558%0.00
cacheS64267%-0.01
anubis21150%-0.05
overpass220100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,277Lifetime kills
0.99K/D · Top 50% of Blue band
2,000Matches
46.4%Match win rate · Top 50% of Blue band
42.7%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
4,402MVPs
598Hours (in match)
1,576Bombs planted
661Bombs defused

Most-used weapons

Lifetime map wins

3,621nuke
2,854inferno
2,460dust2
632vertigo
285train
74office
42italy
9ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

38Matches
45%Win rate
1.12Avg K/D
75.7ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.1819.3
Dust2838%0.8314.9
Inferno633%1.4911.7
Nuke650%0.8312.5
Ancient520%0.7612.0
Overpass2100%2.3013.0
Anubis10%0.8416.0
Train1100%2.1824.0

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.

18.4%Headshot accuracy
38.5%Accuracy (enemy spotted)
37.5%Spray accuracy
80.1%Counter-strafing
9.9°Preaim
657msReaction time
24.8%T opening success
49.3%CT opening success
0.54Enemies flashed / flash
1.3%Flash assists
9.28HE damage / grenade
4.05Flashes / 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 24.8132% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0312%27 Aug
nuke10–13-0.0420%26 Aug
ancient10–130.0121%26 Aug
mirage2–13-0.0121%26 Aug
mirage15–150.0021%26 Aug
nuke13–8-0.0321%25 Aug
inferno4–130.0115%24 Aug
ancient4–13-0.047%23 Aug
mirage3–13-0.0341%22 Aug
inferno13–8-0.0320%21 Aug
dust213–10-0.0226%19 Aug
mirage13–11-0.0423%19 Aug
ancient13–90.0213%19 Aug
cache16–14-0.0419%18 Aug
dust213–00.0217%18 Aug
mirage16–14-0.0420%18 Aug
nuke13–40.0317%18 Aug
dust210–13-0.0215%18 Aug
ancient9–13-0.0327%17 Aug
dust27–13-0.0327%17 Aug
mirage13–5-0.0816%17 Aug
ancient10–13-0.0216%17 Aug
nuke13–30.0310%5 Aug
inferno13–110.0315%4 Aug
anubis7–13-0.0615%4 Aug
nuke13–9-0.0117%4 Aug
anubis13–10-0.0426%4 Aug
nuke13–50.0013%4 Aug
mirage13–10-0.0311%4 Aug
inferno13–8-0.0011%4 Aug
cache10–13-0.0213%4 Aug
mirage11–13-0.048%4 Aug
inferno13–10-0.0512%3 Aug
dust213–5-0.0321%3 Aug
ancient10–13-0.0516%26 Jul
cache13–8-0.0320%26 Jul
ancient7–13-0.048%25 Jul
mirage6–13-0.027%25 Jul
cache13–8-0.0321%25 Jul
mirage5–13-0.0612%25 Jul
mirage13–80.0216%25 Jul
dust26–13-0.0215%25 Jul
dust210–13-0.0422%24 Jul
dust28–13-0.0021%24 Jul
nuke13–7-0.0333%24 Jul
dust213–80.0819%24 Jul
inferno10–130.0013%24 Jul
ancient13–5-0.028%24 Jul
nuke13–7-0.028%24 Jul
ancient13–8-0.0123%24 Jul
mirage8–13-0.0215%24 Jul
dust22–13-0.0714%24 Jul
nuke9–13-0.052%24 Jul
ancient10–130.0313%24 Jul
mirage9–130.0314%24 Jul
dust213–10-0.0628%24 Jul
dust213–40.0514%21 Jul
inferno15–15-0.0313%21 Jul
nuke13–70.0414%21 Jul
dust26–13-0.0321%20 Jul
mirage13–8-0.028%20 Jul
inferno13–40.0535%20 Jul
inferno13–20.049%20 Jul
inferno14–16-0.029%19 Jul
dust213–30.0720%17 Jul
nuke7–130.0418%17 Jul
dust216–140.0715%16 Jul
nuke16–12-0.0422%15 Jul
inferno5–13-0.0227%15 Jul
mirage13–80.0215%9 Jul
dust213–8-0.0127%9 Jul
cache10–13-0.0417%9 Jul
cache13–110.0718%9 Jul
ancient16–140.0519%9 Jul
mirage3–130.0212%8 Jul
nuke13–8-0.0019%8 Jul
nuke7–13-0.0630%8 Jul
dust212–12-0.0110%7 Jul
mirage13–0-0.0312%7 Jul
nuke6–13-0.0222%7 Jul
dust213–80.0232%7 Jul
mirage6–13-0.0216%7 Jul
mirage13–110.1023%4 Jul
ancient10–130.0315%1 Jul
mirage7–130.0111%1 Jul
inferno16–140.0416%1 Jul
dust211–130.0221%1 Jul
nuke6–130.0718%30 Jun
dust23–130.0318%30 Jun
dust213–30.0822%30 Jun
overpass13–4-0.0413%29 Jun
mirage13–1-0.0025%29 Jun
dust29–13-0.0910%29 Jun
overpass13–7-0.0320%29 Jun
nuke13–110.0520%29 Jun
dust215–15-0.0020%29 Jun
dust29–13-0.0111%29 Jun
mirage9–13-0.0010%28 Jun
mirage13–60.0015%28 Jun
mirage3–130.018%28 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 →