Shrimp

Shrimp — CS2 Stats

76561198042325126[U:1:82059398]Steam profile ↗✓ No bans

95Tracked matches60%Win rate2026Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating12,395Blue band · top ~42.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (24 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 23 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,395 +3,129 30 Jul30 Aug · 15 days played
9,26613,174peak 13,17430 Jul30 Aug
13,174Peak Premier in tracked matches
34Days played since 2026-06-23

Premier CS Rating

  • 779 below peak (13,174)
  • +2,722 over 30 days · improving
  • Next: Purple band at 15,000 2,605 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGShrimpPREMIER12,395 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning34
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY56372Last 9559%Win rateLWLLLWWWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · +17ms reaction

Win rate down 20pp 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

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 716ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 642ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 633ms

Newest first, from the last 95 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim4.2
Utility3.4
Positioning3.4
Opening Duels0.0

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 79% 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

T-side openings. Opening success drops from 34% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim4.2
Positioning3.4
Utility3.4
Mechanics5.7
Opening Duels0.5
Win Impact8.3

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time637ms−29ms
first ⅓ avg 665ms → last ⅓ avg 637ms
Headshot accuracy13.1%−0.6%
first ⅓ avg 13.7% → last ⅓ avg 13.1%

Rolling 5-match average across the last 95 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 13–4 · inferno, 16 Jul
37%Best headshot accuracy · 12–10 · cache, 18 Jul
438msFastest reaction time · 13–6 · inferno, 26 Jun
13–1Biggest win · mirage, 30 Aug

Across the last 95 tracked matches.

Highlights

6Longest win streak
67In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 79% over 19nukeWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB28151354%-0.01
mirageS1915479%-0.00
dust2S1711665%-0.01
nukeC146843%-0.02
cacheA117464%-0.01
anubis3030%0.02
vertigo21150%-0.04
ancient110100%-0.03

Across the last 95 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.9%Headshot accuracy
33.0%Accuracy (enemy spotted)
28.1%Spray accuracy
75.5%Counter-strafing
10.7°Preaim
635msReaction time
15.4%T opening success
34.1%CT opening success
0.51Enemies flashed / flash
2.4%Flash assists
7.24HE damage / grenade
7.06Flashes / 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 12.9097% — below the 15% mark we flag

    Aim Training
  2. 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 15.3592% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–13-0.109%30 Aug
mirage13–10.0419%30 Aug
inferno8–13-0.096%18 Aug
inferno9–13-0.088%15 Aug
dust25–13-0.0416%15 Aug
mirage13–3-0.0310%14 Aug
mirage13–4-0.0119%14 Aug
cache7–2-0.0224%14 Aug
mirage13–60.0118%13 Aug
cache14–16-0.0415%12 Aug
inferno10–13-0.0218%12 Aug
mirage13–10-0.0511%10 Aug
mirage13–90.0013%9 Aug
nuke13–11-0.0510%9 Aug
mirage13–20.0416%9 Aug
nuke6–130.0117%8 Aug
dust213–8-0.058%6 Aug
dust213–50.0110%6 Aug
nuke9–13-0.1210%5 Aug
cache16–14-0.0214%5 Aug
dust213–50.0919%5 Aug
dust213–100.0417%5 Aug
nuke13–20.0121%5 Aug
nuke9–130.006%3 Aug
inferno10–130.0212%3 Aug
mirage11–13-0.0311%2 Aug
nuke9–13-0.050%2 Aug
ancient13–10-0.0310%2 Aug
mirage13–9-0.0214%2 Aug
mirage13–9-0.0221%1 Aug
nuke13–60.027%31 Jul
mirage13–30.0521%31 Jul
dust213–80.0114%31 Jul
dust212–12-0.0213%30 Jul
mirage13–4-0.018%30 Jul
inferno13–20.0320%30 Jul
cache3–130.028%30 Jul
nuke4–13-0.0710%30 Jul
cache5–13-0.0613%30 Jul
inferno13–70.007%30 Jul
inferno11–130.028%29 Jul
mirage13–60.0518%29 Jul
inferno0–9-0.0721%29 Jul
inferno13–8-0.0221%29 Jul
nuke13–70.0314%29 Jul
cache13–110.0013%28 Jul
dust213–80.0515%28 Jul
inferno13–6-0.0312%28 Jul
inferno13–50.008%27 Jul
inferno11–13-0.0216%27 Jul
inferno11–130.064%26 Jul
cache13–10-0.0224%26 Jul
dust212–16-0.0413%26 Jul
mirage1–13-0.0516%26 Jul
cache13–60.0314%26 Jul
dust24–13-0.0718%26 Jul
inferno13–20.0914%25 Jul
anubis9–130.0216%25 Jul
inferno13–60.019%24 Jul
cache8–130.0024%24 Jul
nuke4–13-0.0024%24 Jul
inferno2–13-0.0519%24 Jul
inferno11–13-0.0313%24 Jul
dust213–6-0.0314%24 Jul
anubis4–13-0.058%23 Jul
dust213–60.0824%23 Jul
inferno13–100.0412%23 Jul
mirage3–13-0.0517%23 Jul
inferno13–11-0.055%21 Jul
dust27–20.0911%20 Jul
inferno12–12-0.048%20 Jul
dust213–6-0.0513%20 Jul
nuke13–6-0.069%19 Jul
mirage13–8-0.0510%19 Jul
inferno9–13-0.059%19 Jul
dust213–60.0315%19 Jul
nuke5–130.0116%19 Jul
mirage6–130.0413%19 Jul
cache12–10-0.0237%18 Jul
nuke13–10.0518%18 Jul
inferno13–6-0.085%18 Jul
inferno13–70.0613%16 Jul
inferno13–40.1110%16 Jul
anubis3–20.118%16 Jul
mirage13–100.0417%16 Jul
cache13–20.0523%16 Jul
dust25–13-0.076%16 Jul
inferno13–40.007%30 Jun
mirage13–7-0.0033%29 Jun
nuke1–13-0.097%28 Jun
inferno13–6-0.0111%26 Jun
inferno13–110.0910%24 Jun
vertigo3–13-0.0724%24 Jun
inferno10–13-0.0415%23 Jun
vertigo13–6-0.0010%23 Jun

Match data via Leetify.

Recent teammates

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