Trippy

Trippy — CS2 Stats

AU76561198072396334[U:1:112130606]Steam profile ↗VAC banned

1,020Tracked matches38%Win rate2023Tracked since
CSDB Rating2.2 LearningPositional Player
Premier CS Rating2,922Grey band · top ~87.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−110Premier CS Rating · 3,032 → 2,922

Rating over time

Premier CS Rating: 2,922 +479 14 Jul – 16 Oct · 26 days played
1,9183,299peak 3,29914 Jul16 Oct
3,299Peak Premier in tracked matches
32Days played since 2026-07-07

Premier CS Rating

  • 377 below peak (3,299)
  • -377 over 30 days · steady
  • +812 over 90 days
  • Next: Light Blue band at 5,000 — 2,078 to go

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

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CSDB.GGTrippyPREMIER2,922 · Grey bandcsdb.gg/stats

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Performance scores

Aim25
Positioning50
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY31–66–3Last 10031%Win rateLLWLLLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.3pp headshot accuracy · −48ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 587ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 604ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 628ms

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 (+2.7 against its own average).

Aim2.5
Utility0.7
Positioning5.0
Opening Duels1.1

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 71% 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

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning5.0
Utility0.7
Mechanics2.2
Opening Duels1.5
Win Impact1.0

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time637ms−41ms
first ⅓ avg 678ms → last ⅓ avg 637ms
Headshot accuracy11.8%−0.3%
first ⅓ avg 12.1% → last ⅓ avg 11.8%

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

0.12Best match rating · 13–2 · dust2, 12 Jul →
36%Best headshot accuracy · 3–13 · dust2, 25 Jul →
453msFastest reaction time · 1–9 · inferno, 16 Aug →
13–2Biggest win · dust2, 13 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 40% over 15infernoWeakest map · 0% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D3612–2433%-0.02
mirageD227–1532%-0.02
nukeC156–940%-0.02
infernoD110–110%-0.05
cacheD62–433%-0.03
ancient—31–233%-0.04
anubis—21–150%-0.02
vertigo—21–150%-0.03
office—11–0100%-0.00
overpass—10–10%-0.10
boulder—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Inferno 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.

11.9%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.2%Spray accuracy
60.1%Counter-strafing
11.0°Preaim
644msReaction time
23.5%T opening success
42.2%CT opening success
0.05Enemies flashed / flash
0.9%Flash assists
9.61HE damage / grenade
0.34Flashes / 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 11.9131% — 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 0.0482 — 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 23.4804% — below the 40% mark we flag

Spend your practice time on Inferno

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

0% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0910%16 Oct →
ancient11–13-0.0715%15 Oct →
cache13–4-0.0216%15 Oct →
anubis7–13-0.0814%14 Oct →
nuke11–13-0.049%26 Sept →
dust22–13-0.049%26 Sept →
dust213–9-0.0117%16 Sept →
mirage11–13-0.0410%5 Sept →
nuke13–70.0514%5 Sept →
mirage13–80.0211%30 Aug →
office13–8-0.0011%30 Aug →
nuke6–130.0112%25 Aug →
dust26–13-0.047%25 Aug →
dust213–16-0.0214%22 Aug →
mirage6–13-0.098%18 Aug →
dust29–13-0.068%18 Aug →
mirage9–13-0.0114%17 Aug →
dust213–110.024%16 Aug →
dust24–13-0.0718%16 Aug →
inferno1–9-0.136%16 Aug →
vertigo4–4-0.047%15 Aug →
nuke3–13-0.027%15 Aug →
dust213–10-0.036%15 Aug →
dust21–13-0.034%15 Aug →
nuke16–13-0.0310%15 Aug →
mirage1–13-0.107%15 Aug →
inferno15–15-0.057%14 Aug →
mirage5–13-0.0320%14 Aug →
dust210–13-0.0723%13 Aug →
nuke13–3-0.0119%13 Aug →
dust213–80.0326%13 Aug →
inferno8–13-0.0319%11 Aug →
mirage11–130.0412%11 Aug →
dust213–90.0121%5 Aug →
cache1–13-0.059%5 Aug →
nuke13–9-0.0214%5 Aug →
dust210–13-0.0524%26 Jul →
dust23–13-0.0536%25 Jul →
ancient8–13-0.0524%24 Jul →
nuke4–13-0.046%24 Jul →
dust25–13-0.0315%22 Jul →
dust21–13-0.1116%22 Jul →
mirage10–10.0419%22 Jul →
inferno5–13-0.007%19 Jul →
dust28–13-0.0113%19 Jul →
inferno9–13-0.0421%19 Jul →
mirage5–13-0.068%19 Jul →
dust27–13-0.0123%19 Jul →
mirage13–50.0710%19 Jul →
dust27–130.0617%18 Jul →
nuke8–13-0.0117%15 Jul →
dust25–13-0.0714%15 Jul →
cache8–13-0.0310%14 Jul →
nuke13–11-0.0211%14 Jul →
nuke4–13-0.056%14 Jul →
mirage11–130.0118%14 Jul →
ancient13–40.0217%14 Jul →
dust213–2-0.027%13 Jul →
nuke8–13-0.034%13 Jul →
mirage13–50.0616%13 Jul →
mirage5–13-0.0811%13 Jul →
cache5–13-0.0617%13 Jul →
inferno9–13-0.0518%13 Jul →
mirage9–13-0.0814%12 Jul →
inferno3–13-0.057%12 Jul →
dust22–13-0.0310%12 Jul →
overpass5–13-0.104%12 Jul →
mirage7–13-0.116%12 Jul →
dust28–130.0915%12 Jul →
dust215–150.0311%12 Jul →
nuke13–7-0.0011%12 Jul →
dust213–60.119%12 Jul →
dust213–20.1225%12 Jul →
dust213–70.0315%12 Jul →
mirage13–8-0.039%11 Jul →
dust213–8-0.0115%11 Jul →
nuke9–13-0.059%11 Jul →
cache4–130.026%11 Jul →
dust26–13-0.0411%11 Jul →
mirage13–50.016%11 Jul →
vertigo9–13-0.029%11 Jul →
mirage8–13-0.0313%11 Jul →
nuke5–13-0.0317%11 Jul →
inferno10–13-0.0318%10 Jul →
dust26–13-0.089%10 Jul →
dust28–13-0.029%10 Jul →
dust24–13-0.094%10 Jul →
mirage11–13-0.0616%9 Jul →
mirage9–13-0.0625%9 Jul →
boulder8–13-0.0216%9 Jul →
cache13–11-0.0317%9 Jul →
inferno11–13-0.0410%9 Jul →
dust24–130.028%9 Jul →
dust213–11-0.0417%8 Jul →
mirage3–13-0.0313%8 Jul →
inferno12–12-0.017%8 Jul →
dust213–6-0.048%7 Jul →
dust25–13-0.0216%7 Jul →
anubis13–50.0411%7 Jul →
mirage13–30.0211%7 Jul →

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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