Mr. Shrimp

Mr. Shrimp — CS2 Stats

76561198349492880[U:1:389227152]Steam profile ↗✓ No bans

340Tracked matches59%Win rate2023Tracked since
CSDB Rating4.1 DevelopingClutch Specialist
Premier CS Rating19,332Top 50% of 205,052 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#92075 of 252313 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,332 → 19,332
+1Tracked matches · now 340
0.0ppWin rate · 58.6% → 58.6%

Rating over time

Premier CS Rating: 19,332 +5,070 11 Oct – 14 Sept · 18 days played
11,47019,332peak 19,33211 Oct14 Sept
19,649Peak Premier in tracked matches
36Days played since 2024-10-11

Premier CS Rating

  • At peak — 19,332
  • Next: Pink band at 20,000 — 668 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGMr. ShrimpPREMIER19,332 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning34
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLLWWWWTWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +3.1pp headshot accuracy · +72ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 746ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 687ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 651ms

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 (+5.3 against its own average).

Aim4.4
Utility3.7
Positioning3.4
Opening Duels0.0
Clutch9.4

Reliable 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.

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

ZywOo

Plays most like ZywOo 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 636ms 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

Aim4.4
Positioning3.4
Utility3.7
Mechanics4.8
Opening Duels0.0
Win Impact7.9

Composite 4.1/10 (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 rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time644ms+17ms
first ⅓ avg 627ms → last ⅓ avg 644ms
Headshot accuracy13.5%+0.6%
first ⅓ avg 12.9% → 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.

Personal bests

0.08Best match rating · 13–11 · inferno, 11 May →
40%Best headshot accuracy · 4–9 · inferno, 21 Apr →
398msFastest reaction time · 0–13 · anubis, 13 Oct →
13–0Biggest win · inferno, 11 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 71% over 7nukeWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB3918–2146%-0.02
nukeD133–1023%-0.02
ancientC125–742%-0.02
anubisA117–464%-0.03
mirageS75–271%-0.02
cacheS75–271%-0.01
dust2D62–433%-0.03
office—20–20%-0.04
overpass—10–10%-0.02
train—10–10%-0.04
italy—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

20Matches
50%Win rate
0.88Avg K/D
73.4ADR
39%Headshot %

Clutches & streaks

67%1v1 clutch win
10%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno771%1.0211.7
Ancient650%0.8915.5
Anubis540%0.7612.0
Mirage10%0.7613.0
Dust210%0.609.0

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.

13.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.6%Spray accuracy
71.4%Counter-strafing
11.2°Preaim
636msReaction time
22.5%T opening success
26.1%CT opening success
0.45Enemies flashed / flash
2.6%Flash assists
4.90HE damage / grenade
7.38Flashes / 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 13.8482% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4519 — below the 0.5 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 22.5078% — below the 40% mark we flag

Spend your practice time on Nuke

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0323%8 Oct →
nuke7–13-0.0726%10 Sept →
anubis13–80.0327%10 Sept →
mirage13–6-0.0612%10 Sept →
dust213–4-0.0416%7 Sept →
cache13–10.0311%7 Sept →
mirage15–150.0012%1 Sept →
cache13–100.0716%1 Sept →
cache8–13-0.059%31 Aug →
mirage13–50.0421%31 Aug →
mirage16–130.0211%29 Aug →
cache12–16-0.0810%29 Aug →
inferno7–13-0.0516%29 Aug →
cache13–5-0.0111%29 Aug →
nuke8–13-0.0820%29 Aug →
mirage11–13-0.0914%28 Aug →
inferno8–13-0.0810%28 Aug →
inferno8–8-0.0016%27 Aug →
cache13–10-0.0211%27 Aug →
dust26–13-0.0223%27 Aug →
anubis13–4-0.054%27 Aug →
anubis13–7-0.0215%27 Aug →
cache13–9-0.0213%27 Aug →
dust216–14-0.0013%24 Aug →
nuke3–13-0.0312%24 Aug →
mirage13–10-0.0418%24 Aug →
inferno6–13-0.047%25 May →
inferno13–8-0.0415%25 May →
ancient9–13-0.0410%22 May →
inferno13–5-0.026%19 May →
inferno13–60.046%19 May →
ancient4–13-0.065%18 May →
inferno13–5-0.048%16 May →
ancient13–10-0.0311%16 May →
inferno1–13-0.0510%16 May →
ancient9–130.035%16 May →
inferno9–13-0.0523%13 May →
ancient9–13-0.0015%13 May →
inferno13–6-0.066%12 May →
anubis16–14-0.029%11 May →
inferno13–60.0310%11 May →
inferno13–110.086%11 May →
inferno13–0-0.0011%11 May →
nuke5–130.018%11 May →
ancient13–11-0.009%9 May →
overpass6–13-0.0213%9 May →
inferno5–13-0.0714%9 May →
inferno8–13-0.0216%9 May →
ancient8–13-0.0113%7 May →
ancient13–100.027%7 May →
inferno15–150.0612%5 May →
anubis13–10-0.108%5 May →
mirage13–7-0.008%4 May →
nuke3–11-0.038%2 May →
nuke6–13-0.0617%1 May →
dust210–13-0.0311%1 May →
inferno10–13-0.0416%30 Apr →
inferno5–13-0.0723%30 Apr →
nuke13–90.0416%21 Apr →
inferno6–130.0229%21 Apr →
inferno4–9-0.0340%21 Apr →
inferno13–11-0.0111%21 Apr →
train8–13-0.0411%21 Apr →
inferno3–130.006%20 Apr →
ancient10–13-0.007%20 Apr →
inferno12–120.0120%20 Apr →
italy13–110.0229%19 Apr →
inferno13–70.0610%19 Apr →
office7–8-0.028%18 Apr →
nuke10–13-0.078%18 Apr →
inferno5–13-0.028%18 Apr →
inferno12–12-0.0311%12 Apr →
inferno0–13-0.0920%4 Apr →
inferno13–70.0120%3 Apr →
office2–13-0.0616%3 Apr →
inferno13–60.0116%3 Apr →
dust22–8-0.0414%20 Oct →
anubis16–14-0.0212%20 Oct →
nuke16–14-0.057%14 Oct →
inferno13–9-0.0421%14 Oct →
anubis15–15-0.0111%14 Oct →
nuke13–90.0611%14 Oct →
inferno13–50.0310%13 Oct →
ancient7–13-0.0320%13 Oct →
inferno13–40.0423%13 Oct →
anubis0–13-0.110%13 Oct →
nuke10–130.0113%13 Oct →
inferno4–13-0.059%13 Oct →
ancient13–1-0.0918%12 Oct →
nuke8–13-0.0111%12 Oct →
anubis13–110.026%12 Oct →
nuke8–13-0.0020%12 Oct →
inferno6–13-0.0410%12 Oct →
inferno13–11-0.039%12 Oct →
anubis6–13-0.0618%12 Oct →
inferno11–13-0.0317%12 Oct →
anubis11–13-0.028%12 Oct →
inferno13–90.007%11 Oct →
inferno13–10-0.0222%11 Oct →
ancient13–6-0.0110%11 Oct →

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 →

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