Baguser

Baguser — CS2 Stats

DE76561198399005676[U:1:438739948]Steam profile ↗✓ No bans

1,503Tracked matches56%Win rate2020Tracked since
2,745Hours in CS5Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
CSDB Leaderboard#87529 of 259653 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

19,890Peak Premier in tracked matches
47Days played since 2026-06-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim88
Positioning68
Utility59

0–100 skill scores via Leetify.

Recent form

HOT50–42–8Last 10050%Win rateWWWLLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −2.6pp headshot accuracy · −59ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 466ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 18%
  • Avg reaction 449ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 479ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim8.8
Utility5.9
Positioning6.8
Opening Duels5.2
Clutch5.2

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: utility contribution, 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 88 — the mechanical foundation is a clear strength.

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

Aim8.8
Positioning6.8
Utility5.9
Mechanics6.7
Opening Duels4.8
Win Impact6.9

Composite 7.1/10 (Strong), 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 rating0.06+0.01
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time476ms−80ms
first ⅓ avg 556ms → last ⅓ avg 476ms
Headshot accuracy18.9%+1.4%
first ⅓ avg 17.5% → last ⅓ avg 18.9%

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.

Personal bests

0.28Best match rating · 13–4 · nuke, 14 Aug →
36%Best headshot accuracy · 2–13 · office, 16 Jul →
359msFastest reaction time · 8–8 · inferno, 14 Aug →
13–0Biggest win · train, 13 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
11–4In matches decided by ≤2 rounds

Map breakdown

officeBest map · 67% over 15shelterWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeS1510–567%0.08
dust2D155–1033%0.00
cacheC104–640%0.02
vertigoS96–367%0.07
nukeA85–363%0.08
mirageB84–450%0.05
shelterD72–529%0.15
boulderB63–350%0.06
fachwerkC52–340%0.10
train—43–175%0.06
overpass—40–40%0.01
ancient—32–167%0.03
anubis—33–0100%0.09
inferno—31–233%0.06

Across the last 100 tracked matches.

Lifetime stats

91,075Lifetime kills
1.40K/D · Top 10% of tracked players
3,970Matches
51.7%Match win rate · Top 25% of tracked players
43.1%Headshot %
13.1%Shot accuracy · Top 50% of tracked players
14,227MVPs
1,477Hours (in match)
3,591Bombs planted
938Bombs defused

Most-used weapons

AK-4726,176
AWP11,175
MP92,879
XM10142,271
SG 5531,828

Lifetime map wins

7,079inferno
4,931dust2
3,135nuke
2,543vertigo
1,313office
1,047train
847cbble
150lake

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

Faceit stats

Combat

158Matches
56%Win rate
1.46Avg K/D
95.8ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23067%1.6520.2
Inferno2662%1.8420.9
Anubis2646%1.1417.1
Mirage1567%1.4320.7
Nuke1450%1.3218.4
Ancient650%1.0813.5
Vertigo367%1.5619.0
Cache10%0.8814.0

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.

19.0%Headshot accuracy
39.8%Accuracy (enemy spotted)
42.0%Spray accuracy
80.1%Counter-strafing
9.4°Preaim
473msReaction time
42.6%T opening success
55.8%CT opening success
0.55Enemies flashed / flash
4.8%Flash assists
10.07HE damage / grenade
9.81Flashes / match

Recommended for you

Spend your practice time on Dust 2

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 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.0115%26 Oct →
ancient13–50.0513%19 Oct →
office13–30.1918%16 Oct →
dust27–13-0.0311%12 Oct →
train2–13-0.0310%10 Oct →
office13–70.1230%4 Oct →
vertigo13–110.1222%29 Sept →
office13–100.0621%28 Sept →
vertigo13–40.0817%28 Sept →
office13–30.1425%27 Sept →
nuke13–70.037%27 Sept →
dust25–13-0.0222%24 Sept →
overpass6–130.1130%6 Sept →
cache6–130.0819%1 Sept →
mirage9–130.0413%1 Sept →
mirage13–110.0318%1 Sept →
dust212–12-0.0628%1 Sept →
overpass5–13-0.0520%20 Aug →
dust213–70.1330%18 Aug →
anubis13–100.0319%18 Aug →
ancient9–130.0414%17 Aug →
dust26–130.0516%17 Aug →
fachwerk11–130.0722%17 Aug →
nuke12–12-0.0027%17 Aug →
mirage4–13-0.0613%16 Aug →
anubis13–100.1013%16 Aug →
boulder13–70.1726%16 Aug →
vertigo6–40.058%16 Aug →
office12–12-0.0116%14 Aug →
overpass8–130.0120%14 Aug →
cache10–130.0127%14 Aug →
nuke13–40.2820%14 Aug →
inferno11–130.1014%14 Aug →
train11–30.1028%14 Aug →
overpass3–9-0.0226%14 Aug →
inferno8–80.0515%14 Aug →
office13–60.0223%13 Aug →
office13–90.0420%13 Aug →
mirage13–30.1617%13 Aug →
train13–00.0717%13 Aug →
cache13–90.0117%11 Aug →
mirage5–130.0416%11 Aug →
nuke10–13-0.027%10 Aug →
anubis13–70.1317%10 Aug →
office6–130.0218%10 Aug →
shelter9–130.1414%8 Aug →
vertigo10–130.0314%5 Aug →
cache12–12-0.0215%2 Aug →
shelter12–120.0823%2 Aug →
office13–10.1420%2 Aug →
train13–110.1110%2 Aug →
nuke8–130.0021%1 Aug →
shelter13–00.2022%1 Aug →
vertigo13–80.0727%1 Aug →
nuke13–50.1020%1 Aug →
office13–90.0431%1 Aug →
fachwerk9–130.1425%1 Aug →
nuke13–30.1821%1 Aug →
dust211–13-0.0615%29 Jul →
office13–60.2220%28 Jul →
nuke13–100.1021%27 Jul →
boulder3–13-0.0531%27 Jul →
shelter7–130.0721%26 Jul →
boulder11–130.0618%26 Jul →
vertigo13–80.1330%26 Jul →
shelter12–120.2119%25 Jul →
office9–130.0431%23 Jul →
fachwerk13–100.0920%23 Jul →
dust23–13-0.0722%22 Jul →
mirage13–100.0717%21 Jul →
boulder6–130.0416%21 Jul →
shelter13–90.2030%21 Jul →
fachwerk13–80.1627%21 Jul →
mirage12–120.1117%19 Jul →
office2–130.0736%16 Jul →
dust213–110.0315%16 Jul →
dust210–130.0512%13 Jul →
boulder13–80.0323%12 Jul →
shelter4–130.1320%11 Jul →
fachwerk5–130.0415%11 Jul →
boulder13–110.128%10 Jul →
cache13–60.0415%10 Jul →
inferno13–30.026%10 Jul →
dust25–130.0115%9 Jul →
cache6–13-0.053%8 Jul →
mirage13–110.0221%8 Jul →
vertigo7–130.1216%7 Jul →
office13–80.1113%5 Jul →
cache0–130.0017%4 Jul →
vertigo9–70.0028%4 Jul →
cache13–110.0122%4 Jul →
dust213–20.0015%4 Jul →
dust210–13-0.0116%2 Jul →
dust20–12-0.0511%1 Jul →
cache13–110.0421%1 Jul →
dust213–110.0418%30 Jun →
cache4–130.0616%30 Jun →
dust213–70.0620%30 Jun →
vertigo7–130.0516%29 Jun →
office8–130.0012%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.