_BAGUETT — CS2 Stats

76561198836565543[U:1:876299815]

697Tracked matches48%Win rate2023Tracked since
3,649Hours in CS41Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
Premier CS Rating21,070Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#10857 of 31351 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate46.6%47.2%49.9%3.4% short
Shot accuracy2.1%12.7%13.4%11.3% short
Kill/death ratio0.871.091.120.25 short
Match win rate39.6%46.6%48.4%8.8% short

This profile sits below the typical Red band player on every metric we can compare.

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

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CSDB.GG_BAGUETTPREMIER21,070 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning68
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51418Last 10051%Win rateWLLLLWLLWW

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

Player DNA

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

Aim8.4
Aggression9.9
Utility5.4
Positioning6.8
Opening Duels4.9
Clutch1.0

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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.

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

Aim8.4
Positioning6.8
Utility5.4
Mechanics5.6
Opening Duels4.9
Win Impact4.4

Composite 6.6/10 (Solid), 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 rating0.01−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time453ms−60ms
first ⅓ avg 513ms → last ⅓ avg 453ms
Headshot accuracy20.6%−1.4%
first ⅓ avg 22.0% → last ⅓ avg 20.6%

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

0.20Best rating — mirage 13–2
130Biggest win — ancient
4Longest win streak
310In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB26121446%0.02
dust2B26131350%0.03
infernoC145936%0.02
cacheS97278%0.03
nukeC73443%0.01
ancientS54180%0.03
train42250%0.01
anubis31233%0.02
office32167%0.08
vertigo21150%0.06
overpass110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,916Lifetime kills
0.87K/D
4,349Matches
39.6%Match win rate
46.6%Headshot %
2.1%Shot accuracy
8,793MVPs
1,555Hours (in match)
3,083Bombs planted
801Bombs defused

Most-used weapons

AK-4727,242
AWP13,952
Negev2,565
SSG 081,967
MP91,924

Lifetime map wins

9,631dust2
4,626inferno
1,318nuke
1,099vertigo
981train
84office
31cbble
4italy

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

Faceit stats

Combat

9Matches
22%Win rate
1.02Avg K/D
89.0ADR
46%Headshot %

Clutches & streaks

25%1v1 clutch win
25%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust250%0.8616.0
Anubis20%1.1619.5
Train1100%1.6418.0
Inferno1100%0.9314.0

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.

20.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.6%Spray accuracy
75.2%Counter-strafing
7.5°Preaim
455msReaction time
44.0%T opening success
55.5%CT opening success
0.61Enemies flashed / flash
7.6%Flash assists
6.84HE damage / grenade
8.30Flashes / match

Recommended for you

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.

36% 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
mirage13–90.0420%29 Aug
dust211–130.0818%29 Aug
mirage4–13-0.0821%27 Aug
dust25–130.0512%27 Aug
mirage11–13-0.0318%27 Aug
dust213–6-0.0713%27 Aug
dust21–13-0.0619%26 Aug
cache11–130.0526%26 Aug
mirage13–80.0133%25 Aug
cache13–30.0332%25 Aug
dust213–90.1322%25 Aug
inferno13–50.1114%23 Aug
mirage13–16-0.0131%22 Aug
cache13–90.0726%22 Aug
dust213–8-0.0039%22 Aug
nuke13–80.0317%22 Aug
inferno4–130.0329%22 Aug
mirage11–13-0.0314%21 Aug
inferno9–130.0125%21 Aug
mirage13–6-0.0124%20 Aug
mirage13–7-0.0416%20 Aug
anubis8–13-0.058%20 Aug
nuke5–130.009%19 Aug
cache13–90.0315%19 Aug
mirage12–12-0.0114%19 Aug
dust25–130.0315%19 Aug
inferno4–130.0017%19 Aug
dust213–90.0621%18 Aug
dust213–100.0214%17 Aug
dust212–160.0720%16 Aug
dust210–13-0.0033%16 Aug
dust213–70.0321%16 Aug
dust213–11-0.0325%16 Aug
dust28–130.0519%16 Aug
train13–70.0718%16 Aug
train9–13-0.0218%16 Aug
nuke14–160.0615%16 Aug
train13–40.0328%13 Aug
train12–12-0.0412%13 Aug
cache13–100.0316%10 Aug
anubis11–13-0.0024%10 Aug
mirage11–130.0614%10 Aug
ancient15–15-0.0221%10 Aug
dust213–60.0121%10 Aug
mirage13–9-0.0012%9 Aug
mirage9–13-0.0910%9 Aug
ancient13–70.0313%9 Aug
dust213–80.0117%9 Aug
mirage11–130.0616%9 Aug
dust29–130.015%8 Aug
mirage13–8-0.087%8 Aug
inferno15–15-0.0321%8 Aug
mirage13–60.1512%8 Aug
ancient16–12-0.0016%7 Aug
cache7–2-0.0629%6 Aug
mirage5–130.0217%6 Aug
mirage9–130.0213%5 Aug
inferno13–100.0327%5 Aug
dust213–70.0811%4 Aug
dust212–12-0.0029%3 Aug
dust22–11-0.030%3 Aug
mirage10–130.0616%3 Aug
nuke1–13-0.1027%2 Aug
mirage13–90.0319%2 Aug
dust213–110.0726%2 Aug
inferno8–130.0414%2 Aug
inferno6–130.0712%2 Aug
inferno13–40.0135%30 Jul
vertigo12–120.0622%30 Jul
vertigo13–100.0526%29 Jul
anubis13–10.1216%22 Jul
dust213–60.0426%21 Jul
mirage13–20.2030%20 Jul
inferno12–120.0814%20 Jul
dust26–130.0317%20 Jul
office13–70.0924%9 Jul
office13–80.1122%9 Jul
office12–120.0330%8 Jul
ancient13–00.1226%5 Jul
mirage7–130.0233%5 Jul
inferno9–130.0124%5 Jul
nuke10–130.0220%3 Jul
cache13–70.0632%2 Jul
cache13–100.0338%2 Jul
inferno13–50.0116%1 Jul
nuke13–80.0719%30 Jun
dust29–130.018%29 Jun
mirage13–20.0329%29 Jun
overpass13–20.0715%28 Jun
nuke13–6-0.0018%27 Jun
mirage11–13-0.049%27 Jun
ancient13–40.0416%27 Jun
inferno3–13-0.0414%26 Jun
dust213–110.1327%26 Jun
mirage13–90.0221%25 Jun
dust211–130.0316%25 Jun
inferno13–10-0.007%21 Jun
mirage13–40.0822%21 Jun
mirage10–130.0326%20 Jun
cache4–130.0629%19 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 →