t-bag☕

t-bag☕ — CS2 Stats

76561198096296351[U:1:136030623]Steam profile ↗✓ No bans

1,597Tracked matches39%Win rate2020Tracked since
CSDB Rating5.6 SolidAll-Rounder
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,597 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,845 +4,089 7 Jan – 5 Jul · 33 days played
18,75624,117peak 24,1177 Jan5 Jul
24,117Peak Premier in tracked matches
57Days played since 2026-01-07

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

Share this profile

CSDB.GGt-bag☕FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim68
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLWTLLWWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −6.5pp headshot accuracy · −21ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 543ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility6.1
Positioning5.9
Opening Duels4.3

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 570ms 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

Aim6.8
Positioning5.9
Utility6.1
Mechanics6.4
Opening Duels3.3
Win Impact1.4

Composite 5.6/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time566ms−30ms
first ⅓ avg 595ms → last ⅓ avg 566ms
Headshot accuracy18.9%+2.9%
first ⅓ avg 16.0% → 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

0.10Best match rating · 13–5 · anubis, 17 Sept →
56%Best headshot accuracy · 13–10 · inferno, 10 Apr →
406msFastest reaction time · 13–5 · inferno, 30 May →
13–2Biggest win · inferno, 14 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–9In matches decided by ≤2 rounds
21Overtime games

Map breakdown

infernoBest map · 59% over 27ancientWeakest map · 14% over 21
MapGradePlayedRecordWin rateAvg rating
nukeB2914–1548%-0.02
infernoA2716–1159%-0.02
ancientD213–1814%-0.02
anubisC176–1135%-0.02
cache—40–40%-0.07
overpass—21–150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

235Matches
51%Win rate
0.91Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1164%0.8613.0
Inferno250%1.0815.5
Anubis20%0.7111.0
Ancient10%0.477.0
Mirage10%1.0015.0
Vertigo1100%1.0014.0
Dust210%0.9212.0

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.

19.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
30.3%Spray accuracy
78.7%Counter-strafing
8.6°Preaim
570msReaction time
41.3%T opening success
45.5%CT opening success
0.61Enemies flashed / flash
4.9%Flash assists
9.89HE damage / grenade
8.17Flashes / match

Recommended for you

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.

14% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–130.0123%16 Oct →
nuke13–40.017%16 Oct →
nuke15–15-0.0610%3 Oct →
anubis8–13-0.0222%21 Sept →
ancient13–160.0114%21 Sept →
nuke13–8-0.0315%20 Sept →
anubis13–50.1012%17 Sept →
ancient6–130.0010%17 Sept →
cache8–13-0.0918%8 Sept →
anubis1–13-0.1211%2 Sept →
nuke0–13-0.0538%1 Sept →
inferno13–10-0.0316%26 Aug →
nuke11–130.0217%23 Aug →
inferno13–16-0.0521%23 Aug →
cache7–13-0.0221%23 Aug →
ancient15–150.0131%15 Aug →
anubis3–13-0.0813%15 Aug →
inferno13–10-0.1018%14 Aug →
inferno0–13-0.0620%9 Aug →
ancient13–60.0211%8 Aug →
cache3–13-0.0918%8 Aug →
inferno13–80.0723%8 Aug →
nuke16–12-0.0519%6 Aug →
nuke14–12-0.0326%5 Jul →
nuke11–13-0.0119%5 Jul →
ancient11–13-0.0420%3 Jul →
nuke1–13-0.0731%24 Jun →
inferno16–140.0619%22 Jun →
nuke13–11-0.0037%4 Jun →
anubis1–10-0.0413%1 Jun →
ancient6–13-0.119%31 May →
inferno15–15-0.0022%30 May →
inferno13–5-0.0122%30 May →
nuke13–60.0510%30 May →
inferno13–6-0.0118%30 May →
nuke4–13-0.0413%23 May →
nuke9–13-0.0417%23 May →
ancient9–13-0.0314%17 May →
nuke15–150.0312%16 May →
nuke16–12-0.0024%15 May →
nuke15–15-0.0215%15 May →
ancient12–16-0.076%15 May →
inferno13–110.0122%14 May →
inferno13–16-0.0511%14 May →
nuke13–16-0.088%13 May →
ancient10–13-0.0310%13 May →
ancient8–130.0112%12 May →
inferno11–13-0.0210%12 May →
anubis13–10-0.0222%5 May →
inferno3–13-0.0433%4 May →
anubis11–13-0.0415%3 May →
ancient13–80.0212%3 May →
anubis5–13-0.028%3 May →
inferno3–13-0.0412%1 May →
inferno16–140.0217%1 May →
inferno3–13-0.0711%1 May →
cache7–13-0.077%1 May →
ancient1–10-0.0221%27 Apr →
overpass13–11-0.0322%26 Apr →
nuke16–14-0.0416%14 Apr →
anubis16–140.0412%12 Apr →
ancient7–13-0.0114%12 Apr →
inferno11–13-0.0715%10 Apr →
ancient6–130.0317%10 Apr →
inferno13–10-0.0156%10 Apr →
anubis13–3-0.0425%10 Apr →
nuke6–40.079%10 Apr →
anubis8–13-0.067%8 Apr →
nuke13–10-0.0213%8 Apr →
ancient11–13-0.0611%23 Mar →
anubis4–13-0.1115%23 Mar →
inferno16–130.0322%16 Mar →
anubis3–13-0.0220%16 Mar →
inferno13–20.0122%14 Mar →
ancient3–13-0.090%11 Mar →
inferno13–4-0.0117%10 Mar →
nuke9–13-0.0429%3 Mar →
ancient13–20.039%24 Feb →
inferno13–11-0.0418%24 Feb →
inferno13–70.027%24 Feb →
anubis5–13-0.0414%15 Feb →
inferno6–13-0.0926%14 Feb →
nuke9–13-0.0111%13 Feb →
ancient14–16-0.0520%13 Feb →
anubis13–20.0718%13 Feb →
ancient12–16-0.0114%13 Feb →
inferno10–130.0119%13 Feb →
nuke13–60.0218%12 Feb →
nuke13–7-0.0414%9 Feb →
anubis6–13-0.079%9 Feb →
nuke13–16-0.0814%2 Feb →
inferno13–5-0.0315%2 Feb →
overpass6–13-0.0413%31 Jan →
ancient6–13-0.0613%31 Jan →
anubis13–100.0514%28 Jan →
inferno13–7-0.0317%28 Jan →
nuke13–30.0525%28 Jan →
nuke13–8-0.0221%24 Jan →
ancient5–13-0.0725%7 Jan →
nuke11–13-0.0418%7 Jan →

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.