Sheepy

Sheepy — CS2 Stats

GE76561198162327239[U:1:202061511]Steam profile ↗✓ No bans

781Tracked matches50%Win rate2021Tracked since
1,892Hours in CS
CSDB Rating4.1 DevelopingClutch Specialist
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,280 → 1,280
+7Tracked matches · now 781
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 20,809 +705 6 Feb – 10 Mar · 16 days played
20,10422,593peak 22,5936 Feb10 Mar
Faceit ELO: 1,280 +0 1 Sept – 16 Sept · 5 observations
1,2801,280peak 1,2801 Sept16 Sept
22,593Peak Premier in tracked matches
1,280Highest Faceit ELO seen on CSDB
43Days played since 2026-02-06

Faceit ELO

  • At peak — 1,280
  • Next: Level 7 at 1,351 — 71 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-01
  • Level 5 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGSheepyPEAK ELO1,280csdb.gg/stats

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Performance scores

Aim58
Positioning48
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY50–38–12Last 10050%Win rateTLLWWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating · −2.1pp headshot accuracy · +31ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 655ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

Last 20

  • 8–7–5 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim5.8
Utility3.7
Positioning4.8
Opening Duels0.8
Clutch5.0

Limited utility dependence

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

iM

Plays most like iM 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 629ms 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

Aim5.8
Positioning4.8
Utility3.7
Mechanics4.7
Opening Duels0.9
Win Impact5.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time608ms−18ms
first ⅓ avg 627ms → last ⅓ avg 608ms
Headshot accuracy18.2%+3.2%
first ⅓ avg 15.0% → last ⅓ avg 18.2%

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

0.24Best match rating · 9–0 · inferno, 18 Feb →
100%Best headshot accuracy · 0–13 · dust2, 8 Mar →
406msFastest reaction time · 3–9 · inferno, 9 Feb →
13–1Biggest win · ancient, 10 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

sanctumBest map · 88% over 8mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC135–838%-0.04
nukeA127–558%-0.01
infernoA116–555%-0.03
ancientA106–460%-0.02
anubisS86–275%-0.03
sanctumS87–188%-0.03
vertigoC73–443%-0.06
overpass—40–40%-0.03
train—40–40%-0.01
fachwerk—31–233%-0.05
debris—30–30%-0.14
dust2—31–233%-0.09
poseidon—20–20%-0.12
shelter—21–150%-0.05
eldorado—20–20%-0.14
boulder—22–0100%0.04
stronghold—22–0100%-0.03
office—11–0100%0.07
cache—10–10%-0.04
warden—11–0100%0.01
alpine—11–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,154Lifetime kills
1.00K/D
2,900Matches
38.4%Match win rate
56.4%Headshot % · Top 10% of tracked players
8.7%Shot accuracy
3,843MVPs
1,892Hours (in match)
1,977Bombs planted
574Bombs defused

Most-used weapons

AK-4743,893
AWP3,138
SG 5532,406
MP91,470
MP71,394

Lifetime map wins

3,974dust2
2,286inferno
1,310nuke
772vertigo
654office
414train
264lake
159cbble

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

Faceit stats

Combat

31Matches
61%Win rate
0.85Avg K/D
67.5ADR
39%Headshot %

Clutches & streaks

45%1v1 clutch win
6%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage757%0.8617.0
Dust2650%0.7512.5
Anubis450%1.0114.8
Inferno475%0.918.8
Ancient475%0.9713.3
Nuke367%1.0318.0
Vertigo10%0.255.0
Overpass1100%1.0014.0

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.

17.9%Headshot accuracy
35.9%Accuracy (enemy spotted)
42.1%Spray accuracy
71.1%Counter-strafing
12.3°Preaim
629msReaction time
24.2%T opening success
37.3%CT opening success
0.54Enemies flashed / flash
8.9%Flash assists
5.31HE damage / grenade
3.37Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.266° — above the 12° 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 3.3659 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo12–12-0.0418%28 Sept →
anubis3–13-0.0414%20 Sept →
poseidon4–9-0.1629%20 Sept →
inferno9–20.0512%20 Sept →
shelter13–7-0.0112%7 Sept →
ancient13–5-0.0110%5 Sept →
office13–20.0713%5 Sept →
nuke6–130.0419%2 Sept →
anubis13–90.0216%1 Sept →
mirage13–20.0314%1 Sept →
ancient13–80.0321%1 Sept →
mirage12–12-0.086%31 Aug →
mirage13–10-0.0316%30 Aug →
cache2–8-0.0413%28 Aug →
fachwerk8–13-0.0728%28 Aug →
overpass12–12-0.0021%28 Aug →
vertigo6–13-0.0419%28 Aug →
eldorado6–9-0.1419%20 Aug →
poseidon8–8-0.0717%20 Aug →
debris8–8-0.1717%20 Aug →
boulder13–60.0417%8 Aug →
mirage5–13-0.0222%8 Aug →
fachwerk13–8-0.0118%8 Aug →
debris4–9-0.1135%1 Aug →
inferno3–9-0.268%1 Aug →
boulder10–00.0420%25 Jul →
shelter7–13-0.0919%25 Jul →
fachwerk8–13-0.0620%25 Jul →
inferno2–9-0.2131%25 Jul →
ancient1–13-0.1320%22 Jul →
eldorado4–9-0.1420%20 Jul →
debris4–9-0.1323%20 Jul →
warden13–100.0114%13 May →
sanctum9–0-0.0113%1 May →
ancient11–13-0.0619%22 Apr →
nuke15–15-0.0816%22 Apr →
sanctum9–40.045%22 Apr →
overpass11–13-0.0511%10 Mar →
dust20–13-0.11100%8 Mar →
nuke13–80.025%7 Mar →
mirage8–13-0.018%6 Mar →
anubis13–100.0219%6 Mar →
dust211–13-0.0618%6 Mar →
sanctum9–7-0.0511%5 Mar →
inferno9–30.0314%5 Mar →
inferno9–20.0426%5 Mar →
sanctum6–9-0.096%5 Mar →
inferno12–12-0.0410%1 Mar →
stronghold13–9-0.0311%1 Mar →
train12–120.1021%28 Feb →
stronghold13–8-0.0310%27 Feb →
mirage9–13-0.0416%27 Feb →
mirage7–13-0.0331%27 Feb →
mirage13–11-0.0213%26 Feb →
dust210–4-0.1233%26 Feb →
train10–13-0.0115%26 Feb →
train12–12-0.0312%26 Feb →
train3–13-0.0812%26 Feb →
inferno13–9-0.0111%25 Feb →
sanctum9–3-0.095%25 Feb →
anubis13–9-0.0610%25 Feb →
overpass9–13-0.0719%24 Feb →
mirage13–11-0.059%24 Feb →
anubis13–11-0.0613%24 Feb →
inferno7–130.0111%23 Feb →
mirage1–13-0.0512%23 Feb →
mirage16–14-0.0710%22 Feb →
mirage12–16-0.0514%21 Feb →
ancient10–13-0.0617%20 Feb →
mirage11–13-0.0518%19 Feb →
nuke6–9-0.1018%18 Feb →
vertigo9–7-0.0413%18 Feb →
inferno9–00.2421%18 Feb →
sanctum9–20.0118%18 Feb →
nuke8–8-0.0813%15 Feb →
vertigo9–13-0.0718%12 Feb →
vertigo12–12-0.066%12 Feb →
sanctum9–20.0330%11 Feb →
anubis13–8-0.0225%11 Feb →
nuke13–40.0713%10 Feb →
nuke13–60.0312%10 Feb →
overpass6–13-0.0113%10 Feb →
ancient13–10.0833%10 Feb →
vertigo9–7-0.0912%9 Feb →
inferno3–9-0.210%9 Feb →
nuke9–40.0710%9 Feb →
anubis13–9-0.0212%8 Feb →
nuke13–7-0.065%8 Feb →
ancient13–7-0.0725%8 Feb →
anubis10–13-0.0513%8 Feb →
ancient13–16-0.0410%7 Feb →
nuke13–10-0.012%7 Feb →
vertigo9–6-0.0711%7 Feb →
nuke8–8-0.0521%7 Feb →
sanctum9–6-0.0611%7 Feb →
inferno9–50.0019%7 Feb →
ancient13–11-0.0230%7 Feb →
ancient13–110.0917%6 Feb →
nuke13–60.055%6 Feb →
alpine13–5-0.0413%6 Feb →

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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