RipMax

RipMax — CS2 Stats

76561197963033829[U:1:2768101]Steam profile ↗✓ No bans

770Tracked matches61%Win rate2024Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating15,369Purple band · top ~26.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 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: 15,369 +2,908 30 May – 30 Oct · 39 days played
10,67817,097peak 17,09730 May30 Oct
17,097Peak Premier in tracked matches
51Days played since 2026-05-30

Premier CS Rating

  • 1,728 below peak (17,097)
  • -881 over 30 days · declining
  • +1,490 over 90 days
  • Next: Pink band at 20,000 — 4,631 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.

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CSDB.GGRipMaxPREMIER15,369 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning51
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateWLLLWLLWWW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · +33ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 8%
  • Avg reaction 511ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 555ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 539ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim5.6
Utility6.4
Positioning5.1
Opening Duels0.9
Clutch3.2

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 70% 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. 570ms 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

Aim5.6
Positioning5.1
Utility6.4
Mechanics5.3
Opening Duels2.7
Win Impact8.6

Composite 5.6/10 (Solid), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time572ms−79ms
first ⅓ avg 650ms → last ⅓ avg 572ms
Headshot accuracy9.4%+0.2%
first ⅓ avg 9.2% → last ⅓ avg 9.4%

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

0.07Best match rating · 7–13 · dust2, 14 Aug →
23%Best headshot accuracy · 13–6 · dust2, 17 Sept →
430msFastest reaction time · 9–13 · mirage, 8 Oct →
13–1Biggest win · ancient, 26 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
13–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 83% over 6mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C3414–2041%-0.01
ancientC188–1044%-0.00
mirageC176–1135%-0.00
anubisC114–736%-0.01
cacheS86–275%-0.02
nukeS65–183%0.01
infernoA53–260%-0.00
train—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

112Matches
52%Win rate
0.81Avg K/D
62.6ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22650%0.7411.3
Ancient1753%0.8212.5
Mirage743%0.6310.9
Anubis757%0.7515.1
Nuke650%0.7710.2
Cache650%0.547.3
Inferno40%0.5610.5
Train1100%0.447.0

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.

9.3%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.0%Spray accuracy
73.8%Counter-strafing
9.4°Preaim
570msReaction time
45.2%T opening success
36.2%CT opening success
0.51Enemies flashed / flash
4.2%Flash assists
10.84HE damage / grenade
11.40Flashes / 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 9.2889% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.206% — below the 40% mark we flag

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.028%30 Oct →
anubis6–130.057%26 Oct →
anubis9–13-0.087%26 Oct →
inferno12–16-0.0012%23 Oct →
anubis13–110.038%21 Oct →
nuke5–130.0710%21 Oct →
mirage12–16-0.054%17 Oct →
mirage13–70.0420%13 Oct →
nuke13–20.013%13 Oct →
mirage13–110.0713%8 Oct →
mirage9–13-0.0216%8 Oct →
mirage13–5-0.029%6 Oct →
mirage15–150.0210%2 Oct →
inferno13–11-0.006%30 Sept →
cache13–8-0.0415%30 Sept →
dust213–10-0.043%25 Sept →
dust213–110.049%25 Sept →
inferno16–130.016%23 Sept →
anubis13–50.064%23 Sept →
ancient13–11-0.023%21 Sept →
nuke13–4-0.024%21 Sept →
mirage7–130.0614%21 Sept →
anubis10–130.012%19 Sept →
dust211–13-0.0212%19 Sept →
dust213–6-0.0323%17 Sept →
ancient9–13-0.018%17 Sept →
dust215–15-0.029%17 Sept →
cache13–10-0.029%13 Sept →
dust211–13-0.0813%13 Sept →
dust213–7-0.0814%13 Sept →
train13–100.0211%10 Sept →
nuke13–11-0.035%10 Sept →
cache6–13-0.0114%10 Sept →
mirage8–130.0314%4 Sept →
ancient17–19-0.047%3 Sept →
ancient15–15-0.044%30 Aug →
dust23–13-0.047%30 Aug →
dust27–130.0122%28 Aug →
dust21–13-0.0316%24 Aug →
ancient13–40.052%24 Aug →
mirage11–13-0.022%24 Aug →
ancient8–13-0.0113%21 Aug →
ancient13–60.0612%20 Aug →
dust213–50.0610%20 Aug →
dust25–13-0.0210%18 Aug →
dust27–130.0715%14 Aug →
ancient5–13-0.0311%14 Aug →
cache13–10-0.064%14 Aug →
dust213–11-0.019%10 Aug →
cache6–13-0.027%10 Aug →
dust213–7-0.0016%8 Aug →
ancient9–13-0.028%8 Aug →
dust213–11-0.0014%8 Aug →
dust22–70.0517%7 Aug →
cache16–140.0410%7 Aug →
dust213–11-0.037%2 Aug →
anubis11–13-0.0312%31 Jul →
dust215–15-0.016%27 Jul →
cache13–10-0.056%27 Jul →
anubis15–15-0.058%22 Jul →
dust213–6-0.0414%22 Jul →
dust216–14-0.0516%19 Jul →
anubis13–7-0.006%17 Jul →
dust216–13-0.0815%17 Jul →
dust210–130.0117%17 Jul →
anubis10–13-0.025%15 Jul →
inferno13–80.025%15 Jul →
mirage10–130.025%13 Jul →
ancient13–90.0112%11 Jul →
dust213–8-0.048%11 Jul →
dust215–15-0.0112%9 Jul →
cache13–80.014%9 Jul →
dust212–12-0.0214%5 Jul →
ancient13–90.0311%5 Jul →
mirage13–8-0.025%5 Jul →
anubis8–13-0.024%3 Jul →
dust212–12-0.0117%3 Jul →
ancient9–13-0.0111%1 Jul →
ancient13–50.078%30 Jun →
anubis13–11-0.069%30 Jun →
mirage13–9-0.018%30 Jun →
dust214–160.0211%26 Jun →
ancient13–10.025%26 Jun →
mirage7–13-0.0710%26 Jun →
mirage9–130.029%25 Jun →
ancient11–130.016%23 Jun →
dust213–11-0.0113%23 Jun →
inferno4–13-0.0312%17 Jun →
dust27–130.0011%17 Jun →
mirage13–16-0.0012%6 Jun →
dust211–13-0.0116%6 Jun →
ancient3–13-0.080%6 Jun →
mirage13–5-0.015%6 Jun →
dust24–130.0110%4 Jun →
nuke13–20.036%4 Jun →
ancient11–13-0.0311%4 Jun →
dust28–13-0.0314%4 Jun →
nuke13–9-0.005%2 Jun →
dust27–13-0.0313%30 May →
mirage7–13-0.055%30 May →

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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