Scoerp

Scoerp — CS2 Stats

76561197960506691[U:1:240963]Steam profile ↗✓ No bans

1,462Tracked matches63%Win rate2020Tracked since
5,079Hours in CS14Hrs last 2 wks
CSDB Rating8.3 StrongAll-Rounder
Premier CS Rating27,280Top 5% of 213,399 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5216 of 260028 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 27,280 +7,641 29 May – 2 Nov · 20 days played
18,90327,280peak 27,28029 May2 Nov
27,280Peak Premier in tracked matches
1,979Highest Faceit ELO seen on CSDB
23Days played since 2026-05-29

Premier CS Rating

  • At peak — 27,280
  • +3,486 over 30 days · improving
  • Next: Gold band at 30,000 — 2,720 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-25
  • Purple band first seen 2026-10-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate47.2%49.3%50.9%3.7% short
Shot accuracy15.9%13.4%11.8%above
Kill/death ratio1.221.121.18above
Match win rate50.7%48.5%51.9%1.2% short

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

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

Share this profile

CSDB.GGScoerpPREMIER27,280 · Red bandPEAK ELO1,979csdb.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

Aim82
Positioning74
Utility75

0–100 skill scores via Leetify.

Recent form

HOT53–46–1Last 10053%Win rateWWWLWWLWWW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +6.1pp headshot accuracy · −10ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 22%
  • Avg reaction 584ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 25%
  • Avg reaction 561ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 566ms

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.

Aim8.2
Utility7.5
Positioning7.4
Opening Duels6.0
Clutch6.0

Effective flashesHigh utility contribution

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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 565ms 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

Aim8.2
Positioning7.4
Utility7.5
Mechanics7.2
Opening Duels8.1
Win Impact9.4

Composite 8.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time576ms−95ms
first ⅓ avg 671ms → last ⅓ avg 576ms
Headshot accuracy20.9%−1.5%
first ⅓ avg 22.4% → last ⅓ avg 20.9%

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

0.16Best match rating · 13–8 · dust2, 5 Jun →
47%Best headshot accuracy · 13–2 · dust2, 15 Jun →
453msFastest reaction time · 13–9 · ancient, 30 Oct →
13–1Biggest win · ancient, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 71% over 21anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.04
nukeS2115–671%0.02
ancientC146–843%0.04
mirageB126–650%0.03
cacheB115–645%0.03
infernoB84–450%0.01
anubisD62–433%0.07
overpass—41–325%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,163Lifetime kills
1.22K/D · Top 50% of Red band
7,351Matches
50.7%Match win rate · Top 50% of Red band
47.2%Headshot %
15.9%Shot accuracy · Top 50% of Red band
21,106MVPs
3,386Hours (in match)
9,457Bombs planted
2,327Bombs defused

Most-used weapons

AK-4762,099
AWP17,104
P2505,701
AUG3,203

Lifetime map wins

15,498dust2
11,219nuke
10,203train
7,735inferno
1,132cbble
351vertigo
210aztec
130dust

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

Faceit stats

Combat

881Matches
49%Win rate
1.18Avg K/D
80.6ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1050%1.6219.4
Overpass862%1.5820.5
Inferno862%1.1016.9
Mirage850%1.2819.0
Ancient729%1.4019.7
Anubis650%1.1616.7
Vertigo20%0.528.5
Dust210%1.5021.0

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.

22.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
34.6%Spray accuracy
82.4%Counter-strafing
8.6°Preaim
565msReaction time
66.5%T opening success
58.3%CT opening success
0.70Enemies flashed / flash
10.3%Flash assists
13.80HE damage / grenade
13.80Flashes / 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0920%2 Nov →
inferno13–60.0422%2 Nov →
cache13–80.1122%31 Oct →
ancient9–130.0615%31 Oct →
dust213–90.0730%31 Oct →
anubis13–80.1025%31 Oct →
anubis8–130.0631%30 Oct →
ancient13–9-0.0012%30 Oct →
mirage13–40.1230%30 Oct →
inferno13–70.0440%30 Oct →
ancient13–10.0515%30 Oct →
dust213–20.0215%30 Oct →
dust29–130.0126%29 Oct →
nuke13–60.0120%29 Oct →
anubis13–100.0824%26 Oct →
dust213–60.1219%26 Oct →
dust27–13-0.0423%24 Oct →
nuke13–30.0818%16 Oct →
nuke3–3-0.046%16 Oct →
mirage13–90.0422%16 Oct →
ancient11–130.0710%16 Oct →
cache5–13-0.0224%16 Oct →
cache9–130.0120%16 Oct →
dust22–130.0014%9 Oct →
mirage7–13-0.0225%9 Oct →
anubis9–130.0538%9 Oct →
nuke13–60.0516%9 Oct →
dust213–110.0321%9 Oct →
inferno10–13-0.0024%9 Oct →
nuke13–100.0019%9 Oct →
nuke13–60.0819%2 Oct →
dust213–100.1415%2 Oct →
nuke7–13-0.0111%2 Oct →
ancient11–13-0.0012%25 Sept →
anubis11–130.0822%25 Sept →
mirage13–100.0523%25 Sept →
cache13–110.0421%25 Sept →
mirage10–130.108%25 Sept →
dust28–130.0423%25 Sept →
ancient16–120.0624%18 Sept →
nuke13–5-0.0321%18 Sept →
dust28–13-0.0422%18 Sept →
cache13–80.029%18 Sept →
nuke13–70.0223%18 Sept →
anubis5–130.0423%18 Sept →
nuke11–13-0.0520%11 Sept →
cache15–15-0.0332%11 Sept →
inferno2–13-0.0124%11 Sept →
cache13–100.019%11 Sept →
dust213–90.0017%11 Sept →
mirage3–130.0322%26 Aug →
cache8–13-0.0215%26 Aug →
cache12–160.0628%21 Aug →
nuke7–13-0.0527%21 Aug →
dust213–90.0614%15 Aug →
nuke13–60.0411%15 Aug →
ancient13–110.0325%15 Aug →
dust213–100.0115%15 Aug →
cache13–40.0610%15 Aug →
mirage4–130.0319%31 Jul →
cache8–130.0423%31 Jul →
nuke13–100.0316%31 Jul →
ancient16–130.0719%31 Jul →
nuke13–10.0517%31 Jul →
dust28–130.0621%31 Jul →
nuke9–130.0423%3 Jul →
nuke13–60.0914%3 Jul →
overpass13–30.1319%3 Jul →
dust27–130.0921%3 Jul →
nuke13–110.0227%3 Jul →
mirage13–100.0241%3 Jul →
ancient13–160.0517%3 Jul →
nuke13–11-0.0120%3 Jul →
inferno13–60.0124%2 Jul →
nuke3–130.0217%2 Jul →
mirage13–100.0213%2 Jul →
mirage13–80.0622%27 Jun →
ancient13–100.0723%27 Jun →
dust213–70.0226%27 Jun →
ancient10–130.1028%20 Jun →
mirage11–13-0.0220%20 Jun →
inferno8–130.0115%15 Jun →
dust213–20.1447%15 Jun →
dust21–13-0.0630%15 Jun →
overpass9–13-0.0617%5 Jun →
dust213–70.0714%5 Jun →
dust213–80.1620%5 Jun →
inferno13–50.0531%29 May →
dust25–130.0114%29 May →
ancient9–130.0415%29 May →
mirage10–13-0.0120%29 May →
nuke10–13-0.0119%29 May →
dust28–13-0.0129%29 May →
overpass8–130.1026%29 May →
dust213–70.0723%29 May →
ancient7–13-0.0322%29 May →
inferno5–13-0.0422%29 May →
dust213–70.0424%29 May →
ancient9–13-0.0314%29 May →
overpass7–13-0.0119%29 May →

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 →

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