basedskeltal

basedskeltal — CS2 Stats

76561198049245479[U:1:88979751]Steam profile ↗✓ No bans

252Tracked matches48%Win rate2020Tracked since
882Hours in CS8Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#16648 of 26335 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate31.3%41.7%44.1%12.8% short
Shot accuracy12.8%8.8%11.4%above
Kill/death ratio1.080.971.03above
Match win rate38.7%43.8%45.2%6.5% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGbasedskeltalPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning57
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateWWWWLLLWWT

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.4
Aggression6.5
Utility6.9
Positioning5.7
Opening Duels2.2

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 591ms 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

Aim5.4
Positioning5.7
Utility6.9
Mechanics5.1
Opening Duels2.2
Win Impact4.4

Composite 5.0/10 (Developing), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time597ms+25ms
first ⅓ avg 572ms → last ⅓ avg 597ms
Headshot accuracy10.1%−0.0%
first ⅓ avg 10.1% → last ⅓ avg 10.1%

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

0.17Best rating — mirage 13–3
130Biggest win — anubis
4Longest win streak
W4Current streak
76In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 77% over 13infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageD1961332%-0.00
dust2B157847%0.02
anubisS1310377%0.03
infernoD1331023%-0.00
cacheA127558%0.00
ancientA53260%0.03
nukeC52340%0.03
vertigo31233%-0.01
alpine31233%0.03
overpass32167%0.03
train21150%0.04
warden2020%0.03
office1010%-0.02
boulder110100%-0.06
stronghold1010%-0.03
italy1010%-0.05
poseidon1010%-0.13

Across the last 100 tracked matches.

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

Lifetime stats

33,982Lifetime kills
1.08K/D · Top 50% of Blue band
1,862Matches
38.7%Match win rate
31.3%Headshot %
12.8%Shot accuracy · Top 50% of Blue band
2,770MVPs
558Hours (in match)
1,164Bombs planted
280Bombs defused

Most-used weapons

AK-479,133
AWP3,013
Knife861
MP9759

Lifetime map wins

2,138dust2
1,688inferno
783nuke
441train
441vertigo
114cbble
111office
94bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
41.0%Spray accuracy
72.8%Counter-strafing
11.3°Preaim
591msReaction time
42.6%T opening success
35.4%CT opening success
0.57Enemies flashed / flash
8.0%Flash assists
5.45HE damage / grenade
31.54Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.9633% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.3733% — below the 40% mark we flag

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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis16–140.0713%25 Aug
mirage13–20.0221%25 Aug
anubis13–100.018%23 Aug
cache16–130.0110%22 Aug
inferno2–13-0.0612%22 Aug
mirage9–13-0.039%20 Aug
mirage11–130.0514%20 Aug
ancient13–80.0511%18 Aug
anubis13–00.0311%18 Aug
mirage15–150.029%17 Aug
inferno5–13-0.018%15 Aug
dust213–110.027%15 Aug
mirage13–30.1716%13 Aug
cache13–60.025%13 Aug
anubis13–60.0410%13 Aug
nuke5–13-0.0122%10 Aug
cache11–13-0.024%10 Aug
cache6–13-0.015%10 Aug
nuke13–50.1213%10 Aug
anubis13–60.024%9 Aug
mirage8–13-0.018%9 Aug
dust213–9-0.0111%6 Aug
mirage6–13-0.045%6 Aug
vertigo9–130.0411%6 Aug
inferno5–130.0214%6 Aug
cache13–80.0216%6 Aug
anubis2–13-0.069%6 Aug
dust210–13-0.023%4 Aug
nuke9–40.050%3 Aug
inferno6–130.048%3 Aug
dust28–130.0710%3 Aug
inferno13–70.0513%3 Aug
mirage15–15-0.0315%2 Aug
cache6–13-0.0117%2 Aug
dust24–13-0.0411%2 Aug
office7–13-0.0217%29 Jul
cache12–120.016%29 Jul
vertigo12–12-0.0211%29 Jul
boulder9–12-0.0613%29 Jul
dust213–10-0.0318%24 Jul
alpine9–130.005%3 Jul
train13–100.0314%3 Jul
cache13–70.0117%30 Jun
dust213–70.1115%30 Jun
mirage2–60.000%28 Jun
dust216–130.0217%27 Jun
mirage13–11-0.0511%26 Jun
mirage14–160.0316%26 Jun
cache7–13-0.0017%26 Jun
ancient13–40.0112%26 Jun
nuke8–13-0.0316%25 Jun
ancient13–110.119%22 Jun
alpine13–20.0813%12 Jun
warden10–130.0714%10 Jun
anubis13–70.0111%10 Jun
vertigo13–2-0.0513%10 Jun
inferno5–13-0.048%9 Jun
anubis13–80.0415%9 Jun
nuke11–130.0215%9 Jun
mirage5–13-0.0415%9 Jun
mirage13–160.0111%9 Jun
stronghold12–12-0.038%8 Jun
cache13–4-0.0610%8 Jun
mirage13–60.0011%7 Jun
italy7–13-0.0511%7 Jun
anubis16–14-0.0421%6 Jun
alpine12–120.0116%6 Jun
cache13–70.0215%5 Jun
inferno16–140.0211%5 Jun
cache13–100.0111%3 Jun
mirage13–6-0.073%3 Jun
inferno6–13-0.0212%3 Jun
dust24–130.019%3 Jun
overpass13–70.0612%1 Jun
anubis13–80.1312%31 May
dust213–100.0418%31 May
mirage1–130.019%31 May
dust25–13-0.018%31 May
train12–120.0615%27 May
inferno7–13-0.0412%26 May
inferno16–14-0.0315%20 May
dust211–130.0316%20 May
anubis13–160.119%16 May
ancient4–13-0.042%16 May
anubis9–13-0.016%16 May
mirage13–8-0.0410%16 May
overpass14–16-0.004%15 May
poseidon4–9-0.1313%15 May
dust213–80.0915%15 May
inferno3–130.019%15 May
ancient9–130.0310%15 May
dust24–13-0.027%15 May
mirage7–13-0.0411%15 May
warden6–13-0.008%14 May
overpass13–90.0510%14 May
inferno13–16-0.019%14 May
mirage7–130.026%14 May
dust215–15-0.0210%13 May
inferno7–130.019%13 May
anubis13–100.0311%13 May

Match data via Leetify.

Recent teammates

Milestones

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