Tidepod

Tidepod — CS2 Stats

76561198243672266[U:1:283406538]Steam profile ↗✓ No bans

292Tracked matches50%Win rate2026Tracked since
207Hours in CS
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating17,070Purple band · top ~20.2% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 292 tracked matches. 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. 25 days played since 7 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,070 -47 14 Jul3 Sept · 7 days played
17,07018,202peak 18,20214 Jul3 Sept
18,202Peak Premier in tracked matches
25Days played since 2026-07-07

Premier CS Rating

  • 1,132 below peak (18,202)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 2,930 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate47.1%44.3%47.0%meets
Shot accuracy0.0%11.8%13.0%13.0% short
Kill/death ratio0.901.031.080.18 short
Match win rate51.7%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTidepodPREMIER17,070 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning55
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY54424Last 10054%Win rateLWWTLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.0pp headshot accuracy · −14ms reaction

Win rate down 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

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 565ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

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 PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim6.1
Utility2.9
Positioning5.5
Opening Duels2.5

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

jL

Plays most like jL 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 597ms 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

Aim6.1
Positioning5.5
Utility2.9
Mechanics5.4
Opening Duels2.5
Win Impact5.0

Composite 4.9/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time588ms−83ms
first ⅓ avg 670ms → last ⅓ avg 588ms
Headshot accuracy17.3%−2.9%
first ⅓ avg 20.3% → last ⅓ avg 17.3%

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 · 13–5 · mirage, 9 Aug
50%Best headshot accuracy · 5–4 · mirage, 29 Jul
430msFastest reaction time · 9–3 · inferno, 5 Aug
13–1Biggest win · cache, 7 Jul

Across the last 100 tracked matches.

Highlights

8Longest win streak
96In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 83% over 18nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2291341%-0.01
infernoS1815383%0.02
cacheA1610663%0.00
mirageB115645%-0.01
anubisS96367%-0.01
nukeD71614%0.00
ancientD62433%-0.02
vertigo43175%0.06
office3030%0.03
overpass110100%0.03
boulder110100%-0.02
fachwerk110100%0.00
train1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,289Lifetime kills
0.90K/D
348Matches
51.7%Match win rate · Top 10% of Purple band
47.1%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
630MVPs
207Hours (in match)
484Bombs planted
78Bombs defused

Most-used weapons

Lifetime map wins

646dust2
559inferno
291nuke
128vertigo
38office
9train

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

Skill profile

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

18.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
32.4%Spray accuracy
74.5%Counter-strafing
9.5°Preaim
597msReaction time
36.5%T opening success
43.8%CT opening success
0.53Enemies flashed / flash
12.8%Flash assists
4.51HE damage / grenade
3.81Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8052 — below the 4 mark we flag

    Grenade Lineups
  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 36.4655% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0530%15 Aug
mirage13–4-0.046%9 Aug
mirage13–50.1418%9 Aug
dust212–120.0116%8 Aug
dust29–130.0012%7 Aug
nuke9–130.0221%6 Aug
dust26–13-0.0317%6 Aug
inferno9–60.076%5 Aug
inferno9–10.0714%5 Aug
inferno9–3-0.034%5 Aug
inferno9–40.0714%5 Aug
vertigo9–50.1014%5 Aug
vertigo9–50.0911%5 Aug
inferno9–40.1310%5 Aug
inferno9–70.0910%5 Aug
inferno7–9-0.119%5 Aug
ancient13–5-0.0622%3 Aug
dust22–13-0.0526%3 Aug
dust213–6-0.0721%2 Aug
ancient13–90.027%2 Aug
inferno6–13-0.066%2 Aug
dust28–13-0.0123%1 Aug
dust213–80.0329%29 Jul
nuke4–130.0421%29 Jul
dust212–120.0420%29 Jul
inferno13–20.0623%29 Jul
vertigo11–13-0.0018%29 Jul
overpass13–30.0318%29 Jul
mirage5–40.0050%29 Jul
inferno13–5-0.0110%29 Jul
nuke5–13-0.0140%29 Jul
inferno13–11-0.0410%26 Jul
vertigo13–20.0518%26 Jul
inferno9–70.0616%26 Jul
ancient6–13-0.0713%26 Jul
dust212–16-0.0115%26 Jul
dust213–80.0117%26 Jul
dust25–130.0115%25 Jul
anubis8–130.069%25 Jul
nuke13–60.0115%22 Jul
inferno13–90.0720%22 Jul
anubis13–110.0313%22 Jul
ancient7–130.0335%18 Jul
anubis13–80.0924%18 Jul
dust213–50.0837%18 Jul
cache13–6-0.0126%18 Jul
dust210–13-0.1015%17 Jul
ancient12–12-0.019%17 Jul
cache13–70.0414%17 Jul
cache8–13-0.0528%16 Jul
mirage13–90.0613%16 Jul
cache13–40.0918%16 Jul
cache16–120.0113%15 Jul
anubis13–9-0.0414%15 Jul
cache9–13-0.0015%15 Jul
mirage2–13-0.0717%15 Jul
dust213–11-0.0212%15 Jul
mirage3–50.0319%15 Jul
cache13–8-0.0518%15 Jul
inferno7–13-0.058%15 Jul
anubis13–6-0.0613%15 Jul
mirage8–13-0.0413%15 Jul
anubis13–9-0.0615%14 Jul
dust213–30.0624%14 Jul
dust213–5-0.0532%14 Jul
anubis11–13-0.0318%14 Jul
mirage9–13-0.019%14 Jul
cache13–100.0119%13 Jul
cache5–130.0214%13 Jul
anubis11–13-0.086%13 Jul
cache13–60.0239%13 Jul
mirage2–13-0.0813%13 Jul
dust26–130.0010%13 Jul
dust20–3-0.0050%13 Jul
cache5–130.0027%13 Jul
mirage8–13-0.1013%12 Jul
inferno13–40.0911%12 Jul
nuke6–130.0130%12 Jul
cache7–13-0.0914%12 Jul
ancient10–13-0.0412%12 Jul
cache13–110.0216%12 Jul
inferno13–50.0112%12 Jul
inferno13–11-0.087%12 Jul
dust212–12-0.0125%11 Jul
nuke7–130.0030%11 Jul
boulder13–8-0.0219%11 Jul
fachwerk13–100.0026%11 Jul
train6–13-0.0250%11 Jul
inferno8–20.030%11 Jul
dust216–12-0.0621%11 Jul
dust216–14-0.0121%11 Jul
anubis10–3-0.0224%11 Jul
cache5–13-0.115%10 Jul
office7–130.0240%10 Jul
cache13–100.0622%9 Jul
mirage13–9-0.019%9 Jul
dust28–13-0.0426%9 Jul
office11–13-0.0113%8 Jul
office4–130.0626%8 Jul
cache13–10.0522%7 Jul

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 →