Seba500PLK — CS2 Stats

76561198050969129[U:1:90703401]✓ No bans

342Tracked matches36%Win rate2020Tracked since
707Hours in CS
CSDB Rating4.8 DevelopingClutch Specialist
Premier CS Rating18,951Purple band · top ~12.7% of ranked players (population est.)
CSDB Leaderboard#2623 of 5291 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate39.3%48.1%8.8% short
Shot accuracy11.1%12.9%1.7% short
Kill/death ratio1.061.08meets
Match win rate45.2%46.5%1.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GGSeba500PLKPREMIER18,951 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

COLD414613Last 10041%Win rateTLWTLLLTLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.3
Aggression8.5
Utility3.7
Positioning5.5
Opening Duels3.6
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

b1t

Plays most like b1t 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 585ms 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
Utility3.7
Mechanics5.8
Opening Duels3.6
Win Impact0.5

Composite 4.8/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time588ms+5ms
first ⅓ avg 583ms → last ⅓ avg 588ms
Headshot accuracy13.5%+0.9%
first ⅓ avg 12.6% → last ⅓ avg 13.5%

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

0.12Best rating — dust2 13–6
130Biggest win — mirage
5Longest win streak
32In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 5infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB24111346%0.02
dust2C1981142%0.01
cacheD1861233%0.01
nukeD103730%-0.02
infernoD72529%-0.02
trainS54180%0.02
vertigo42250%0.01
fachwerk31233%0.00
anubis32167%-0.04
overpass21150%0.01
office21150%0.00
ancient2020%-0.06
boulder1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,137Lifetime kills
1.06K/D · Top 50% of tracked players
1,754Matches
45.2%Match win rate
39.3%Headshot %
11.1%Shot accuracy
4,110MVPs
707Hours (in match)
3,382Bombs planted
457Bombs defused

Most-used weapons

AWP8,621
AK-477,979
Molotov3,740
P902,098
SSG 082,037
AUG1,189

Lifetime map wins

8,168dust2
1,296inferno
764vertigo
694nuke
291cbble
231train
115dust
98office

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

Faceit stats

Combat

38Matches
42%Win rate
1.31Avg K/D
73.3ADR
31%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.477.0
Inferno1100%0.8511.0

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.

12.7%Headshot accuracy
32.9%Accuracy (enemy spotted)
40.2%Spray accuracy
76.0%Counter-strafing
8.8°Preaim
585msReaction time
38.5%T opening success
50.5%CT opening success
0.60Enemies flashed / flash
10.4%Flash assists
8.45HE damage / grenade
3.83Flashes / 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 12.707% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8263 — below the 4 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.5249% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0516%26 Jul
cache8–130.0110%25 Jul
mirage13–40.0817%25 Jul
dust212–120.007%25 Jul
mirage10–130.0418%19 Jul
fachwerk5–130.097%19 Jul
boulder5–130.0413%19 Jul
dust212–12-0.0516%16 Jul
fachwerk7–13-0.1112%16 Jul
nuke9–13-0.045%14 Jul
fachwerk13–80.028%14 Jul
dust213–30.0913%8 Jul
mirage12–12-0.0114%7 Jul
dust21–8-0.034%7 Jul
nuke6–13-0.046%6 Jul
inferno13–70.007%6 Jul
dust212–120.0320%2 Jul
cache0–13-0.079%2 Jul
mirage12–120.1116%2 Jul
dust213–60.1219%30 Jun
cache13–90.037%29 Jun
vertigo9–13-0.0310%26 Jun
mirage12–12-0.0513%26 Jun
dust212–12-0.0318%26 Jun
cache3–130.0415%25 Jun
cache1–2-0.0429%25 Jun
dust210–13-0.0620%25 Jun
train2–130.0117%23 Jun
mirage13–90.0711%23 Jun
dust213–9-0.0116%21 Jun
mirage13–00.0125%20 Jun
train13–40.0215%20 Jun
dust212–12-0.0317%20 Jun
train13–10.0110%19 Jun
train13–3-0.0210%19 Jun
overpass13–9-0.0018%19 Jun
dust213–100.0712%19 Jun
office13–10.0915%18 Jun
nuke0–13-0.0218%18 Jun
mirage13–100.0621%18 Jun
vertigo13–80.0012%18 Jun
mirage10–130.0310%17 Jun
vertigo7–13-0.0210%17 Jun
cache13–80.0116%17 Jun
train5–20.0710%16 Jun
inferno7–13-0.0018%16 Jun
nuke6–13-0.0415%16 Jun
dust26–130.0113%16 Jun
cache8–13-0.0319%15 Jun
mirage13–11-0.0012%15 Jun
nuke13–50.0111%15 Jun
nuke13–30.0125%15 Jun
mirage12–10.0620%15 Jun
dust210–130.0416%15 Jun
nuke13–90.0415%14 Jun
dust24–13-0.0718%14 Jun
dust213–10-0.0217%14 Jun
dust213–80.0814%14 Jun
dust213–60.0518%14 Jun
dust213–6-0.0020%14 Jun
overpass5–130.0212%10 Jun
mirage5–13-0.0511%10 Jun
cache13–60.0420%10 Jun
vertigo13–10.0810%9 Jun
cache10–13-0.0510%8 Jun
mirage12–12-0.0114%8 Jun
mirage7–130.0510%8 Jun
inferno9–13-0.0115%4 Jun
nuke8–13-0.065%31 May
mirage9–13-0.0116%30 May
anubis13–10-0.0212%30 May
ancient2–13-0.0618%30 May
inferno9–13-0.1013%29 May
inferno13–70.0412%29 May
anubis13–6-0.0110%28 May
inferno6–13-0.017%27 May
cache8–130.099%27 May
mirage11–13-0.025%27 May
mirage13–110.0617%27 May
mirage13–80.0610%26 May
cache12–12-0.0218%26 May
mirage3–13-0.042%26 May
mirage13–9-0.0316%25 May
cache13–110.0322%25 May
mirage4–13-0.0419%25 May
nuke10–13-0.0116%25 May
cache13–60.0727%25 May
inferno9–13-0.0512%25 May
ancient4–13-0.0511%25 May
mirage13–60.015%24 May
cache6–13-0.0513%23 May
mirage7–13-0.033%23 May
cache12–12-0.0413%22 May
cache12–12-0.0113%21 May
anubis1–13-0.0813%21 May
cache13–60.0514%20 May
mirage13–50.1011%20 May
office9–13-0.087%20 May
cache10–130.0321%20 May
nuke1–13-0.0711%20 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 →