Riptide

Riptide — CS2 Stats

US76561198323725412[U:1:363459684]Steam profile ↗✓ No bans

1,603Tracked matches59%Win rate2020Tracked since
2,851Hours in CS12Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating16,440Purple band · top ~22.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (5 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.

Rating over time

Premier CS Rating: 16,440 -1,452 1 Jun – 14 Oct · 22 days played
15,99919,491peak 19,4911 Jun14 Oct
19,848Peak Premier in tracked matches
1,305Highest Faceit ELO seen on CSDB
37Days played since 2026-06-01

Premier CS Rating

  • 3,051 below peak (19,491)
  • -2,664 over 90 days
  • Next: Pink band at 20,000 — 3,560 to go
  • Reached: Purple band · Blue band · Light Blue band

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=37,767), 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 rate38.3%44.3%46.9%8.6% short
Shot accuracy13.0%11.9%13.0%meets
Kill/death ratio1.141.031.08above
Match win rate37.4%45.2%46.7%9.3% short

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

Widest gap: Match win rate. 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.GGRiptidePREMIER16,440 · Purple bandPEAK ELO1,305csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning69
Utility49

0–100 skill scores via Leetify.

Recent form

HOT51–42–7Last 10051%Win rateWWWWLWLWWT

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +1.7pp headshot accuracy · −41ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 541ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 561ms

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 Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.2
Utility4.9
Positioning6.9
Opening Duels5.9
Clutch0.6

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

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. 571ms 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

Aim8.2
Positioning6.9
Utility4.9
Mechanics7.0
Opening Duels6.2
Win Impact7.9

Composite 7.0/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time583ms−8ms
first ⅓ avg 592ms → last ⅓ avg 583ms
Headshot accuracy17.1%−0.3%
first ⅓ avg 17.5% → last ⅓ avg 17.1%

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

0.15Best match rating · 9–3 · nuke, 11 Sept →
56%Best headshot accuracy · 2–8 · vertigo, 22 Sept →
406msFastest reaction time · 5–13 · inferno, 22 Sept →
13–1Biggest win · ancient, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
6–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 78% over 9dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%-0.00
ancientA169–756%0.01
nukeA149–564%0.06
infernoC135–838%-0.03
overpassB136–746%-0.00
anubisS97–278%0.06
dust2D61–517%0.02
cache—32–167%0.06
vertigo—20–20%0.01
train—22–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,722Lifetime kills
1.14K/D · Top 50% of Purple band
4,441Matches
37.4%Match win rate
38.3%Headshot %
13.0%Shot accuracy · Top 50% of Purple band
8,543MVPs
1,389Hours (in match)
3,487Bombs planted
783Bombs defused

Most-used weapons

AK-4725,034
AWP17,617
SSG 081,669
MP91,486
P2501,231

Lifetime map wins

4,413dust2
3,452inferno
2,335nuke
1,282vertigo
1,246train
311office
259lake
169cbble

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

Faceit stats

Combat

97Matches
61%Win rate
1.16Avg K/D
80.1ADR
35%Headshot %

Clutches & streaks

23%1v1 clutch win
31%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2264%1.2417.8
Ancient1656%1.1116.9
Inferno1136%1.0115.6
Nuke757%1.3719.6
Vertigo450%0.8915.8
Overpass475%1.1919.8
Anubis2100%2.3121.0
Train2100%1.6617.5

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.

16.5%Headshot accuracy
40.9%Accuracy (enemy spotted)
42.9%Spray accuracy
81.6%Counter-strafing
9.7°Preaim
571msReaction time
57.6%T opening success
52.2%CT opening success
0.54Enemies flashed / flash
2.5%Flash assists
7.73HE damage / grenade
5.91Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.1020%14 Oct →
mirage13–40.0211%13 Oct →
cache13–20.0617%13 Oct →
mirage13–5-0.0311%13 Oct →
ancient13–16-0.0310%12 Oct →
ancient13–40.068%11 Oct →
mirage9–13-0.0525%11 Oct →
dust213–9-0.0014%11 Oct →
nuke13–90.0221%11 Oct →
vertigo8–8-0.028%11 Oct →
train13–60.036%11 Oct →
nuke12–120.1217%9 Oct →
train5–20.0314%9 Oct →
mirage6–13-0.048%28 Sept →
anubis13–30.0813%28 Sept →
dust210–13-0.0117%28 Sept →
anubis13–60.1115%28 Sept →
nuke13–70.0913%28 Sept →
ancient13–10.077%27 Sept →
ancient16–140.0316%24 Sept →
dust29–130.0226%23 Sept →
vertigo2–80.0456%22 Sept →
inferno5–13-0.0510%22 Sept →
inferno4–9-0.1129%22 Sept →
nuke9–30.1521%11 Sept →
mirage4–13-0.0439%9 Sept →
inferno12–160.0221%9 Sept →
mirage13–100.0117%7 Sept →
nuke13–50.0419%1 Sept →
cache5–130.0616%31 Aug →
cache13–80.0415%31 Aug →
nuke11–130.077%31 Aug →
dust29–130.1017%31 Aug →
anubis5–130.0323%30 Aug →
ancient6–13-0.0636%30 Aug →
mirage6–13-0.0523%16 Aug →
overpass8–13-0.074%6 Jul →
inferno3–9-0.0713%6 Jul →
dust211–13-0.0223%2 Jul →
nuke13–6-0.0022%2 Jul →
mirage15–15-0.0414%30 Jun →
overpass13–10-0.0011%30 Jun →
mirage16–120.0220%30 Jun →
mirage15–150.0215%22 Jun →
nuke13–50.1311%22 Jun →
mirage9–13-0.0421%18 Jun →
inferno16–14-0.0220%18 Jun →
inferno13–11-0.0116%16 Jun →
anubis14–160.0321%16 Jun →
ancient6–13-0.0227%16 Jun →
overpass13–70.0917%16 Jun →
nuke6–130.0213%16 Jun →
inferno13–11-0.0517%15 Jun →
nuke13–80.0423%15 Jun →
mirage16–13-0.0227%15 Jun →
anubis13–30.0319%15 Jun →
ancient13–80.0413%13 Jun →
mirage14–160.058%13 Jun →
ancient9–13-0.0123%13 Jun →
inferno4–13-0.0524%12 Jun →
overpass16–13-0.0115%12 Jun →
nuke10–130.0520%12 Jun →
ancient1–13-0.0311%11 Jun →
ancient10–13-0.0420%11 Jun →
ancient13–6-0.009%11 Jun →
overpass15–15-0.0127%11 Jun →
inferno7–13-0.0133%10 Jun →
mirage9–130.0318%10 Jun →
overpass13–40.0115%10 Jun →
mirage13–70.1024%10 Jun →
anubis13–50.0816%10 Jun →
mirage13–80.1121%10 Jun →
mirage13–10-0.059%10 Jun →
nuke13–40.0833%10 Jun →
anubis13–70.0222%9 Jun →
ancient9–13-0.0415%9 Jun →
dust25–130.0520%9 Jun →
mirage13–2-0.0325%9 Jun →
mirage15–150.0127%8 Jun →
overpass13–60.0215%7 Jun →
ancient13–100.049%7 Jun →
ancient13–70.0813%7 Jun →
inferno13–100.0222%6 Jun →
nuke13–60.0219%6 Jun →
anubis13–80.0913%6 Jun →
overpass11–13-0.0321%6 Jun →
nuke15–15-0.0118%6 Jun →
overpass4–13-0.1015%6 Jun →
inferno8–13-0.067%5 Jun →
mirage3–13-0.0518%5 Jun →
overpass14–160.0712%4 Jun →
inferno5–13-0.043%4 Jun →
overpass13–50.0420%4 Jun →
anubis13–90.0417%4 Jun →
mirage13–110.0022%3 Jun →
ancient13–90.0413%3 Jun →
overpass10–130.0111%3 Jun →
overpass5–13-0.0426%2 Jun →
mirage7–130.0117%2 Jun →
ancient13–30.0421%1 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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