Bagged

Bagged — CS2 Stats

CA76561198407201201[U:1:446935473]Steam profile ↗✓ No bans

897Tracked matches68%Win rate2022Tracked since
1,041Hours in CS35Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating23,664Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#36078 of 259882 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,664 +3,665 1 Aug – 1 Nov · 26 days played
18,84323,664peak 23,6641 Aug1 Nov
Faceit ELO: 1,059 +0 13 Sept – 19 Sept · 3 observations
1,0591,059peak 1,05913 Sept19 Sept
23,664Peak Premier in tracked matches
1,059Highest Faceit ELO seen on CSDB
35Days played since 2026-07-29

Premier CS Rating

  • At peak — 23,664
  • +3,165 over 90 days
  • Next: Red band at 25,000 — 1,336 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate47.0%43.8%44.8%above
Shot accuracy8.1%12.0%12.4%4.4% short
Kill/death ratio0.951.021.030.08 short
Match win rate45.6%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBaggedFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER23,664 · Pink bandPEAK ELO1,059csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning72
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWWWWLTLWWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +4.3pp headshot accuracy · −45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 542ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

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 (+2.6 against its own average).

Aim8.3
Utility3.9
Positioning7.2
Opening Duels4.1
Clutch3.2

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.

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

CT openings. Opening success drops from 57% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim8.3
Positioning7.2
Utility3.9
Mechanics8.2
Opening Duels4.7
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time566ms−87ms
first ⅓ avg 653ms → last ⅓ avg 566ms
Headshot accuracy18.6%+0.1%
first ⅓ avg 18.5% → last ⅓ avg 18.6%

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.

Personal bests

0.23Best match rating · 13–0 · mirage, 25 Oct →
38%Best headshot accuracy · 7–13 · mirage, 14 Sept →
336msFastest reaction time · 0–13 · nuke, 18 Oct →
13–0Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W4Current streak
13–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 86% over 7ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%-0.00
dust2A2716–1159%-0.01
ancientD112–918%0.02
nukeA117–464%0.02
cacheB105–550%0.01
anubisS76–186%0.01
infernoA53–260%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,324Lifetime kills
0.95K/D
1,374Matches
45.6%Match win rate · Top 50% of Level 5 players
47.0%Headshot % · Top 50% of Level 5 players
8.1%Shot accuracy
2,784MVPs
1,256Hours (in match)
1,923Bombs planted
331Bombs defused

Most-used weapons

Lifetime map wins

2,138dust2
1,800nuke
826inferno
446train
290vertigo
201lake
95office
31ar_shoots

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

Faceit stats

Combat

285Matches
51%Win rate
0.89Avg K/D
63.7ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10150%0.8611.8
Dust24452%0.8413.6
Nuke3450%0.9613.7
Ancient3053%0.8211.7
Train1850%0.8814.3
Inferno1662%1.0414.3
Anubis1283%1.0513.8
Overpass1127%0.9914.4

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
36.9%Accuracy (enemy spotted)
39.3%Spray accuracy
87.1%Counter-strafing
8.3°Preaim
581msReaction time
57.1%T opening success
40.6%CT opening success
0.37Enemies flashed / flash
3.7%Flash assists
10.03HE damage / grenade
4.51Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3678 — below the 0.5 mark we flag

    Grenade Lineups →
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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.0226%1 Nov →
dust213–6-0.0230%31 Oct →
nuke13–90.0517%31 Oct →
ancient13–30.1431%31 Oct →
cache9–13-0.0119%31 Oct →
nuke15–150.0628%30 Oct →
mirage6–13-0.088%29 Oct →
mirage13–8-0.0633%28 Oct →
mirage13–80.0121%28 Oct →
dust29–13-0.0018%27 Oct →
mirage4–13-0.0425%27 Oct →
ancient8–130.0119%27 Oct →
dust213–9-0.0325%27 Oct →
nuke13–20.1026%27 Oct →
mirage13–8-0.037%26 Oct →
mirage13–90.0218%26 Oct →
inferno13–40.0013%25 Oct →
mirage13–1-0.0021%25 Oct →
cache16–14-0.0211%25 Oct →
dust213–4-0.0222%25 Oct →
cache15–150.0318%25 Oct →
mirage13–00.2316%25 Oct →
cache11–130.0414%25 Oct →
ancient10–130.1018%25 Oct →
cache13–70.0418%25 Oct →
dust211–130.0120%25 Oct →
anubis13–9-0.047%25 Oct →
anubis13–60.0515%25 Oct →
nuke13–10.0322%25 Oct →
mirage9–130.0211%24 Oct →
inferno13–7-0.0118%24 Oct →
mirage13–50.0720%24 Oct →
inferno1–80.000%18 Oct →
nuke0–13-0.0514%18 Oct →
cache4–130.0129%16 Oct →
nuke10–00.020%27 Sept →
nuke13–100.0514%27 Sept →
mirage9–13-0.0314%14 Sept →
mirage7–13-0.0638%14 Sept →
inferno8–13-0.0717%4 Sept →
mirage13–20.0914%4 Sept →
dust213–70.0014%4 Sept →
anubis13–110.0013%3 Sept →
dust213–11-0.0015%25 Aug →
dust27–130.0030%25 Aug →
mirage6–130.0616%21 Aug →
ancient11–130.0114%21 Aug →
dust213–11-0.0125%20 Aug →
mirage4–13-0.0913%20 Aug →
anubis13–7-0.0126%19 Aug →
mirage13–4-0.0214%19 Aug →
mirage5–13-0.1012%19 Aug →
ancient10–130.0313%19 Aug →
ancient4–13-0.0617%18 Aug →
dust21–13-0.106%16 Aug →
ancient9–130.0324%16 Aug →
mirage13–70.0817%16 Aug →
dust23–13-0.0129%16 Aug →
ancient8–13-0.069%16 Aug →
mirage9–13-0.0327%16 Aug →
dust21–13-0.039%16 Aug →
nuke13–10.0113%16 Aug →
nuke14–16-0.0417%15 Aug →
dust213–7-0.0314%15 Aug →
dust213–9-0.0527%15 Aug →
nuke7–130.0113%13 Aug →
dust25–13-0.0217%12 Aug →
inferno13–100.0226%12 Aug →
dust222–20-0.0218%11 Aug →
mirage13–40.0030%9 Aug →
ancient7–130.0414%9 Aug →
nuke13–3-0.0230%9 Aug →
mirage13–8-0.0010%9 Aug →
dust213–80.0227%8 Aug →
dust213–10-0.0422%7 Aug →
anubis5–130.0217%7 Aug →
dust26–13-0.0516%7 Aug →
dust222–20-0.0115%7 Aug →
anubis13–10.0820%7 Aug →
cache10–130.0122%7 Aug →
mirage16–14-0.0219%6 Aug →
anubis13–11-0.0320%6 Aug →
dust26–13-0.0519%6 Aug →
mirage4–13-0.0313%5 Aug →
mirage7–130.0415%5 Aug →
dust27–130.0519%5 Aug →
cache13–10-0.0313%5 Aug →
mirage13–110.0621%4 Aug →
mirage13–11-0.0126%4 Aug →
dust211–13-0.0213%4 Aug →
dust213–11-0.0116%3 Aug →
cache13–60.0123%3 Aug →
cache13–70.0415%3 Aug →
dust213–70.0315%2 Aug →
dust213–100.0217%2 Aug →
mirage13–11-0.0516%2 Aug →
ancient5–13-0.0614%2 Aug →
mirage7–13-0.0710%2 Aug →
mirage16–13-0.0022%1 Aug →
dust213–110.0116%29 Jul →

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 →

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