sh4p

sh4p — CS2 Stats

76561197977194428[U:1:16928700]Steam profile ↗✓ No bans

1,323Tracked matches45%Win rate2021Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,863Top 50% of 204,316 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#55805 of 251408 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (4 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: 21,863 -2,848 28 Apr – 9 Oct · 31 days played
20,45224,711peak 24,71128 Apr9 Oct
24,711Peak Premier in tracked matches
46Days played since 2026-04-28

Premier CS Rating

  • 2,848 below peak (24,711)
  • +714 over 30 days · improving
  • Next: Red band at 25,000 — 3,137 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGsh4pPREMIER21,863 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning63
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY35–63–2Last 10035%Win rateWWWLLWLLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.4pp headshot accuracy · −46ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 507ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 530ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim7.0
Utility5.9
Positioning6.3
Opening Duels4.1

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

NiKo

Plays most like NiKo 84% 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. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 45% on CT — first contacts on the defending side are being lost.

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

Aim7.0
Positioning6.3
Utility5.9
Mechanics6.5
Opening Duels6.6
Win Impact3.3

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time525ms−66ms
first ⅓ avg 591ms → last ⅓ avg 525ms
Headshot accuracy19.5%+2.2%
first ⅓ avg 17.3% → last ⅓ avg 19.5%

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.

Personal bests

0.16Best match rating · 13–10 · nuke, 22 Jul →
37%Best headshot accuracy · 7–13 · inferno, 6 Sept →
375msFastest reaction time · 10–13 · inferno, 18 Sept →
13–2Biggest win · dust2, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 65% over 17cacheWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoD247–1729%0.03
dust2B178–947%0.03
nukeS1711–665%0.06
cacheD152–1313%0.01
anubisD92–722%0.03
mirageD82–625%-0.00
ancientD82–625%0.01
vertigo—10–10%0.10
overpass—11–0100%0.11

Across the last 100 tracked matches.

Faceit stats

Combat

8Matches
38%Win rate
0.66Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

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.

18.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.5%Spray accuracy
79.1%Counter-strafing
11.0°Preaim
527msReaction time
67.5%T opening success
45.3%CT opening success
0.59Enemies flashed / flash
10.0%Flash assists
10.12HE damage / grenade
8.02Flashes / match

Recommended for you

Spend your practice time on Cache

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0218%9 Oct →
inferno13–80.0317%9 Oct →
cache13–4-0.0124%9 Oct →
mirage11–130.0318%4 Oct →
cache5–13-0.0211%2 Oct →
nuke13–110.0318%2 Oct →
inferno11–130.0319%1 Oct →
anubis14–160.0117%1 Oct →
nuke16–120.0513%30 Sept →
ancient13–30.1324%30 Sept →
anubis7–130.0721%29 Sept →
anubis13–80.0816%27 Sept →
ancient15–15-0.0410%25 Sept →
dust210–13-0.0020%25 Sept →
mirage8–130.0121%23 Sept →
cache13–50.0014%23 Sept →
nuke13–90.0925%23 Sept →
inferno13–90.0433%22 Sept →
nuke13–40.0922%22 Sept →
anubis5–13-0.0422%22 Sept →
inferno4–13-0.0321%22 Sept →
dust25–130.0323%21 Sept →
anubis10–130.0123%21 Sept →
inferno13–100.0121%20 Sept →
cache7–13-0.0018%19 Sept →
inferno9–130.0219%19 Sept →
dust213–20.1218%19 Sept →
anubis9–130.0821%19 Sept →
ancient9–130.029%19 Sept →
cache11–130.0618%19 Sept →
inferno10–130.0433%18 Sept →
dust210–130.0417%18 Sept →
nuke13–110.0420%13 Sept →
dust213–20.1218%13 Sept →
inferno13–50.1318%13 Sept →
vertigo8–130.1022%11 Sept →
inferno9–130.0123%11 Sept →
nuke9–130.0529%10 Sept →
dust213–60.0924%10 Sept →
cache8–13-0.0616%7 Sept →
inferno9–130.0019%7 Sept →
inferno7–130.0137%6 Sept →
ancient6–130.0920%6 Sept →
inferno7–130.0712%3 Sept →
nuke13–100.1321%3 Sept →
dust213–50.0917%1 Sept →
anubis13–60.0114%1 Sept →
cache10–13-0.0513%11 Aug →
mirage0–13-0.0122%11 Aug →
ancient3–13-0.0615%10 Aug →
inferno11–13-0.0019%10 Aug →
mirage8–13-0.0327%9 Aug →
ancient9–13-0.0416%9 Aug →
nuke7–130.0813%8 Aug →
nuke10–130.0128%8 Aug →
inferno9–13-0.0115%7 Aug →
inferno13–90.0918%5 Aug →
cache10–13-0.0221%4 Aug →
cache7–130.0218%3 Aug →
nuke13–30.0619%3 Aug →
cache11–130.0115%2 Aug →
mirage16–120.0620%1 Aug →
nuke13–80.1214%1 Aug →
nuke10–130.0315%1 Aug →
dust28–130.0724%30 Jul →
cache5–130.0615%30 Jul →
nuke13–7-0.0426%29 Jul →
nuke9–13-0.0126%28 Jul →
dust213–8-0.0027%28 Jul →
cache10–13-0.0613%28 Jul →
nuke8–130.1022%27 Jul →
inferno0–8-0.1013%27 Jul →
inferno13–40.0916%25 Jul →
dust213–80.0220%25 Jul →
cache5–130.038%24 Jul →
inferno11–130.1129%24 Jul →
nuke13–100.1620%22 Jul →
cache8–130.0111%22 Jul →
inferno13–110.0316%21 Jul →
mirage3–13-0.058%6 May →
anubis8–13-0.0116%6 May →
dust213–60.1529%6 May →
dust211–13-0.0715%5 May →
ancient5–13-0.065%5 May →
dust210–130.0218%4 May →
nuke13–80.0318%4 May →
inferno2–13-0.0420%4 May →
inferno10–130.0522%1 May →
ancient13–80.0216%1 May →
anubis9–130.0723%1 May →
mirage13–11-0.0118%1 May →
dust211–13-0.0117%1 May →
mirage4–13-0.0119%30 Apr →
dust28–13-0.0217%30 Apr →
inferno4–130.0819%30 Apr →
cache10–130.0915%30 Apr →
overpass13–90.1119%29 Apr →
inferno9–130.0621%29 Apr →
inferno15–150.0114%28 Apr →
dust21–13-0.045%28 Apr →

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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