Shep

Shep — CS2 Stats

US76561198007388799[U:1:47123071]Steam profile ↗✓ No bans

870Tracked matches55%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating25,461Top 10% of 205,052 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#17020 of 252456 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 25,461 +2,875 13 Jun – 16 Oct · 24 days played
22,58626,147peak 26,14713 Jun16 Oct
26,360Peak Premier in tracked matches
32Days played since 2026-03-02

Premier CS Rating

  • 686 below peak (26,147)
  • +653 over 30 days · improving
  • -141 over 90 days
  • Next: Gold band at 30,000 — 4,539 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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

Share this profile

CSDB.GGShepFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,461 · Red bandcsdb.gg/stats

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Performance scores

Aim87
Positioning53
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWWWLWWWLT

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.8pp headshot accuracy · +48ms 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 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 530ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 526ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim8.7
Utility5.3
Positioning5.3
Opening Duels1.8

Sharp aimerExcellent counter-strafingStrong T-side opener

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

b1t

Plays most like b1t 98% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7
Positioning5.3
Utility5.3
Mechanics8.6
Opening Duels0.0
Win Impact6.7

Composite 6.7/10 (Solid), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time529ms−37ms
first ⅓ avg 567ms → last ⅓ avg 529ms
Headshot accuracy16.3%−0.5%
first ⅓ avg 16.8% → last ⅓ avg 16.3%

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

0.14Best match rating · 13–3 · dust2, 7 Jun →
32%Best headshot accuracy · 13–6 · inferno, 18 Jul →
375msFastest reaction time · 10–13 · nuke, 15 Aug →
13–0Biggest win · inferno, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 15cacheWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB3316–1748%0.01
dust2A2011–955%0.01
infernoS1510–567%0.03
cacheB157–847%0.02
nukeB63–350%-0.02
anubisA53–260%0.01
overpass—32–167%0.04
ancient—22–0100%-0.03
office—11–0100%-0.03

Across the last 100 tracked matches.

Skill profile

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

16.0%Headshot accuracy
40.5%Accuracy (enemy spotted)
42.9%Spray accuracy
88.8%Counter-strafing
9.9°Preaim
527msReaction time
28.6%T opening success
29.8%CT opening success
0.66Enemies flashed / flash
6.5%Flash assists
9.83HE damage / grenade
5.21Flashes / 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. 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 28.5788% — below the 40% mark we flag

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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage6–130.0320%16 Oct →
ancient13–6-0.0118%16 Oct →
inferno13–00.0924%15 Oct →
mirage13–60.0221%15 Oct →
mirage7–13-0.0812%15 Oct →
dust213–5-0.029%13 Oct →
anubis13–9-0.0321%11 Oct →
dust213–30.0417%9 Sept →
mirage7–13-0.0215%8 Sept →
dust215–15-0.0016%8 Sept →
nuke13–10-0.0211%8 Sept →
mirage8–13-0.0110%7 Sept →
anubis13–110.028%4 Sept →
dust26–13-0.0811%4 Sept →
dust213–80.0718%4 Sept →
mirage13–100.0222%30 Aug →
cache13–0-0.0129%30 Aug →
mirage13–90.039%29 Aug →
inferno3–130.0121%28 Aug →
dust213–80.0116%28 Aug →
dust213–60.0112%28 Aug →
nuke13–11-0.0123%15 Aug →
mirage10–13-0.0210%15 Aug →
nuke10–13-0.0213%15 Aug →
dust211–13-0.0523%15 Aug →
mirage9–130.0212%15 Aug →
cache10–130.0418%15 Aug →
mirage13–70.0919%8 Aug →
inferno11–130.0416%8 Aug →
mirage3–130.0418%8 Aug →
mirage11–13-0.0422%2 Aug →
inferno13–8-0.0211%2 Aug →
dust26–13-0.0216%2 Aug →
mirage13–60.0415%2 Aug →
dust214–16-0.0314%2 Aug →
dust29–130.018%31 Jul →
mirage7–13-0.0716%31 Jul →
inferno13–70.1020%31 Jul →
nuke8–13-0.054%31 Jul →
cache13–100.0319%31 Jul →
cache13–90.0219%25 Jul →
inferno13–50.027%25 Jul →
dust29–13-0.0511%25 Jul →
mirage9–13-0.0012%25 Jul →
cache13–16-0.0017%24 Jul →
cache13–9-0.0111%24 Jul →
mirage11–13-0.0312%24 Jul →
dust213–110.0223%24 Jul →
office13–8-0.0317%19 Jul →
anubis7–13-0.0418%19 Jul →
inferno13–20.0719%19 Jul →
cache11–130.0610%19 Jul →
mirage13–60.0513%19 Jul →
inferno13–6-0.0532%18 Jul →
cache11–13-0.0510%18 Jul →
dust213–100.0410%18 Jul →
dust213–16-0.0218%18 Jul →
cache6–13-0.0612%18 Jul →
mirage8–13-0.0518%18 Jul →
ancient13–8-0.0616%18 Jul →
dust213–9-0.0121%17 Jul →
mirage5–130.0227%17 Jul →
mirage11–130.0316%17 Jul →
cache6–13-0.0615%17 Jul →
mirage13–70.0015%17 Jul →
mirage13–11-0.0215%10 Jul →
inferno6–130.0719%10 Jul →
cache13–70.0322%10 Jul →
mirage13–40.0623%10 Jul →
cache13–30.1123%10 Jul →
mirage13–6-0.0518%10 Jul →
overpass12–30.0813%3 Jul →
inferno16–140.0425%3 Jul →
mirage15–150.0211%3 Jul →
dust213–70.1324%2 Jul →
anubis13–80.0718%2 Jul →
dust210–13-0.0119%2 Jul →
mirage16–130.0415%2 Jul →
mirage13–40.0416%2 Jul →
inferno13–50.0319%26 Jun →
dust213–9-0.0019%26 Jun →
nuke11–130.0411%13 Jun →
overpass0–13-0.0615%13 Jun →
mirage13–100.046%13 Jun →
anubis5–130.028%13 Jun →
mirage3–13-0.0311%13 Jun →
nuke13–6-0.0622%13 Jun →
mirage13–80.0417%12 Jun →
mirage9–130.0423%7 Jun →
dust213–30.149%7 Jun →
mirage13–100.0014%5 Jun →
overpass13–30.0816%24 May →
cache10–130.0513%24 May →
inferno13–90.0319%24 May →
inferno13–10-0.0112%7 May →
cache13–30.0814%7 May →
cache9–13-0.0121%7 May →
mirage13–20.1024%2 May →
inferno14–160.0417%2 May →
inferno11–13-0.0817%2 Mar →

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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