Therealbada1mTV | CSFIT

Therealbada1mTV | CSFIT — CS2 Stats

76561198140989593[U:1:180723865]Steam profile ↗✓ No bans

621Tracked matches57%Win rate2024Tracked since
778Hours in CS10Hrs last 2 wks
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating10,086Blue band · top ~54.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (11 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: 10,086 -1,826 9 Aug – 22 Sept · 22 days played
8,72811,912peak 11,9129 Aug22 Sept
11,912Peak Premier in tracked matches
25Days played since 2026-08-09

Premier CS Rating

  • 1,826 below peak (11,912)
  • -289 over 30 days · steady
  • Next: Purple band at 15,000 — 4,914 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches30——
Win rate53%——
K/D0.90——
Headshot %48%——

Measured 2 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 4 medianLevel 5 medianvs Level 5
Headshot rate45.7%42.7%43.8%above
Shot accuracy0.5%11.3%12.0%11.6% short
Kill/death ratio0.980.991.020.04 short
Match win rate42.5%43.9%44.7%2.2% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTherealbada1mTV | CSFITFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,086 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning55
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY40–50–10Last 10040%Win rateLWTWLWLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.8pp headshot accuracy · +63ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 625ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 634ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 602ms

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.

Aim6.3
Utility5.0
Positioning5.5
Opening Duels4.5
Clutch4.8

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

device

Plays most like device 89% 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. 604ms 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

Aim6.3
Positioning5.5
Utility5.0
Mechanics6.8
Opening Duels4.6
Win Impact7.4

Composite 5.7/10 (Solid), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time609ms+69ms
first ⅓ avg 541ms → last ⅓ avg 609ms
Headshot accuracy20.0%+4.7%
first ⅓ avg 15.4% → last ⅓ avg 20.0%

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

0.16Best match rating · 13–8 · ancient, 15 Sept →
40%Best headshot accuracy · 2–2 · anubis, 2 Sept →
422msFastest reaction time · 1–12 · ancient, 14 Aug →
13–0Biggest win · dust2, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 50% over 20anubisWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2010–1050%-0.02
nukeD155–1033%-0.02
ancientC156–940%-0.00
mirageC146–843%-0.01
anubisD133–1023%-0.02
trainC83–538%-0.04
infernoC52–340%-0.03
cache—41–325%-0.02
overpass—32–167%0.00
vertigo—22–0100%-0.04
office—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,264Lifetime kills
0.98K/D
1,141Matches
42.5%Match win rate
45.7%Headshot % · Top 50% of Level 4 players
0.5%Shot accuracy
2,249MVPs
410Hours (in match)
1,045Bombs planted
310Bombs defused

Most-used weapons

Lifetime map wins

2,491dust2
1,445inferno
1,107nuke
371train
242vertigo
38office
8lake
5italy

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

Faceit stats

Combat

37Matches
43%Win rate
0.87Avg K/D
70.1ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1040%0.9313.1
Ancient850%1.0513.1
Cache714%0.6411.3
Mirage667%0.6810.8
Dust2367%1.2713.0
Inferno20%0.529.0
Nuke1100%1.0015.0

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.

19.5%Headshot accuracy
30.8%Accuracy (enemy spotted)
33.7%Spray accuracy
80.6%Counter-strafing
9.6°Preaim
604msReaction time
44.2%T opening success
52.9%CT opening success
0.62Enemies flashed / flash
6.1%Flash assists
5.90HE damage / grenade
7.95Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0129%23 Sept →
dust29–10.0329%22 Sept →
office12–120.0118%22 Sept →
train13–70.0514%22 Sept →
nuke9–13-0.0222%22 Sept →
dust213–5-0.0629%22 Sept →
ancient7–13-0.0432%22 Sept →
anubis7–13-0.0620%22 Sept →
mirage13–100.0416%15 Sept →
dust213–30.0526%15 Sept →
nuke5–130.0012%15 Sept →
ancient13–80.1615%15 Sept →
mirage4–13-0.0213%15 Sept →
ancient15–15-0.0015%15 Sept →
ancient13–11-0.0310%15 Sept →
ancient13–10-0.0512%14 Sept →
anubis13–10-0.0523%9 Sept →
nuke16–130.0229%9 Sept →
dust25–13-0.0230%8 Sept →
dust27–13-0.0329%8 Sept →
anubis8–13-0.0030%8 Sept →
dust213–11-0.0113%5 Sept →
mirage13–8-0.0832%5 Sept →
dust213–7-0.0215%5 Sept →
anubis10–13-0.0113%5 Sept →
nuke5–13-0.067%2 Sept →
dust23–13-0.0521%2 Sept →
inferno13–50.0211%2 Sept →
ancient13–50.0414%2 Sept →
train13–8-0.0314%2 Sept →
mirage13–50.1010%2 Sept →
anubis2–2-0.0540%2 Sept →
nuke2–9-0.0319%29 Aug →
nuke13–4-0.0224%29 Aug →
ancient12–12-0.017%27 Aug →
train12–12-0.0614%27 Aug →
overpass7–13-0.0113%27 Aug →
mirage9–130.0613%27 Aug →
nuke9–13-0.0815%26 Aug →
dust27–13-0.0312%26 Aug →
inferno13–3-0.0737%25 Aug →
anubis12–12-0.0511%25 Aug →
ancient9–13-0.0620%25 Aug →
train9–13-0.1114%25 Aug →
dust28–13-0.0922%23 Aug →
dust213–4-0.0315%23 Aug →
inferno10–130.0129%23 Aug →
mirage5–13-0.0615%23 Aug →
dust213–00.0219%23 Aug →
mirage8–130.018%23 Aug →
mirage13–60.0411%23 Aug →
ancient4–13-0.0310%23 Aug →
nuke12–120.0210%23 Aug →
nuke13–110.0117%23 Aug →
overpass13–8-0.0112%23 Aug →
anubis5–13-0.0622%23 Aug →
anubis12–12-0.0416%23 Aug →
ancient13–5-0.0010%21 Aug →
vertigo13–11-0.0416%21 Aug →
nuke12–12-0.0111%21 Aug →
overpass13–50.023%21 Aug →
train3–13-0.083%21 Aug →
train13–60.0113%21 Aug →
mirage7–13-0.0519%21 Aug →
ancient9–13-0.0213%21 Aug →
dust213–6-0.0614%21 Aug →
mirage4–13-0.0923%20 Aug →
vertigo13–7-0.0318%20 Aug →
nuke13–110.0421%20 Aug →
dust213–80.0317%20 Aug →
cache14–16-0.0814%18 Aug →
nuke6–13-0.0316%18 Aug →
nuke13–5-0.0119%18 Aug →
dust213–30.0214%18 Aug →
mirage13–110.016%18 Aug →
cache5–130.0418%18 Aug →
nuke7–13-0.0123%17 Aug →
mirage7–13-0.0711%17 Aug →
ancient11–130.019%16 Aug →
ancient13–10.0415%16 Aug →
mirage0–5-0.080%15 Aug →
ancient7–13-0.048%14 Aug →
cache5–13-0.0313%14 Aug →
anubis7–13-0.0318%14 Aug →
ancient1–12-0.019%14 Aug →
dust210–13-0.0522%13 Aug →
train10–13-0.0612%13 Aug →
dust212–12-0.0124%13 Aug →
anubis11–130.0519%12 Aug →
nuke4–13-0.0616%12 Aug →
inferno9–130.0310%12 Aug →
inferno2–13-0.139%12 Aug →
anubis1–130.0413%12 Aug →
anubis13–60.0718%11 Aug →
anubis13–5-0.0229%11 Aug →
cache13–60.0016%10 Aug →
dust212–16-0.0122%10 Aug →
dust210–13-0.0622%10 Aug →
train12–12-0.0717%10 Aug →
mirage13–80.0011%9 Aug →

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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