Trippy

Trippy — CS2 Stats

76561198173053721[U:1:212787993]Steam profile ↗✓ No bans

2,547Tracked matches65%Win rate2020Tracked since
3,577Hours in CS7Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating22,850Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#45434 of 260056 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 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: 22,850 +4,151 26 Jul – 1 Nov · 14 days played
18,69922,850peak 22,85026 Jul1 Nov
23,153Peak Premier in tracked matches
31Days played since 2026-07-10

Premier CS Rating

  • At peak — 22,850
  • +263 over 30 days · steady
  • +4,151 over 90 days
  • Next: Red band at 25,000 — 2,150 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate46.1%45.7%46.8%meets
Shot accuracy17.4%12.7%13.0%above
Kill/death ratio1.121.051.06above
Match win rate46.1%45.7%46.3%meets

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGTrippyFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,850 · Pink bandcsdb.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

Aim66
Positioning55
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–37–7Last 10056%Win rateTLLWLLWWWL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −3.7pp headshot accuracy · +99ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 695ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 637ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 588ms

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 (+1.2 against its own average).

Aim6.6
Utility5.3
Positioning5.5
Opening Duels2.2
Clutch4.2

Strong CT-side opener

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 87% 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. 585ms 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

Aim6.6
Positioning5.5
Utility5.3
Mechanics5.8
Opening Duels3.2
Win Impact10.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time595ms−19ms
first ⅓ avg 614ms → last ⅓ avg 595ms
Headshot accuracy13.4%−0.9%
first ⅓ avg 14.3% → last ⅓ avg 13.4%

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

0.14Best match rating · 13–5 · mirage, 12 Aug →
38%Best headshot accuracy · 13–3 · inferno, 19 Sept →
391msFastest reaction time · 13–2 · dust2, 14 Sept →
13–1Biggest win · cache, 31 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 67% over 24infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B3016–1453%-0.01
mirageS2416–867%0.01
ancientA148–657%0.01
infernoC135–838%0.00
cacheA85–363%-0.01
anubisC73–443%-0.00
nuke—43–175%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,195Lifetime kills
1.12K/D · Top 50% of Level 7 players
4,894Matches
46.1%Match win rate · Top 50% of Level 7 players
46.1%Headshot % · Top 50% of Level 7 players
17.4%Shot accuracy · Top 25% of Level 7 players
10,295MVPs
2,273Hours (in match)
3,347Bombs planted
1,057Bombs defused

Most-used weapons

AK-4747,857
AWP8,711
FAMAS1,912
P2501,680
MP91,448

Lifetime map wins

8,011inferno
6,970dust2
2,160vertigo
1,393nuke
1,170train
798cbble
258lake
250bank

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

Faceit stats

Combat

204Matches
58%Win rate
1.08Avg K/D
80.9ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
32%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3647%1.0115.2
Ancient3269%1.0715.9
Anubis2458%0.9614.2
Dust2838%0.9414.4
Vertigo771%0.9314.9
Inferno580%1.0116.8
Cache425%1.0114.5
Overpass3100%1.0714.7

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.

13.0%Headshot accuracy
36.5%Accuracy (enemy spotted)
35.8%Spray accuracy
76.1%Counter-strafing
8.8°Preaim
585msReaction time
37.5%T opening success
47.9%CT opening success
0.55Enemies flashed / flash
4.8%Flash assists
6.38HE damage / grenade
8.68Flashes / 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 13.0173% — 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 37.4781% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–12-0.0110%5 Nov →
mirage2–9-0.090%1 Nov →
cache8–13-0.0513%1 Nov →
cache13–30.0222%1 Nov →
mirage2–13-0.100%31 Oct →
dust28–13-0.062%31 Oct →
cache13–1-0.0411%31 Oct →
mirage13–4-0.018%31 Oct →
cache13–9-0.0611%28 Oct →
dust24–13-0.0325%28 Oct →
nuke13–3-0.0422%27 Oct →
inferno12–12-0.0015%25 Oct →
dust213–4-0.0710%25 Oct →
cache13–100.0614%18 Oct →
anubis12–12-0.0423%17 Oct →
mirage13–10-0.0015%17 Oct →
ancient13–20.046%17 Oct →
mirage9–13-0.027%17 Oct →
dust213–80.0015%17 Oct →
nuke11–13-0.0112%17 Oct →
mirage13–40.0511%17 Oct →
dust213–8-0.0214%17 Oct →
inferno12–12-0.0112%17 Oct →
dust26–13-0.0518%11 Oct →
mirage13–10.0819%11 Oct →
dust213–7-0.0721%26 Sept →
ancient13–9-0.0313%26 Sept →
anubis9–13-0.018%26 Sept →
anubis13–6-0.0111%26 Sept →
ancient13–2-0.0312%26 Sept →
anubis13–60.0522%26 Sept →
ancient10–130.0719%22 Sept →
dust214–160.0123%20 Sept →
nuke13–110.0112%20 Sept →
inferno16–130.0519%19 Sept →
cache13–7-0.0218%19 Sept →
dust215–15-0.0417%19 Sept →
inferno13–30.0338%19 Sept →
dust213–2-0.0218%14 Sept →
ancient13–40.0528%13 Sept →
mirage11–130.0814%13 Sept →
dust213–90.0221%13 Sept →
inferno10–130.0715%6 Sept →
inferno16–14-0.0420%6 Sept →
dust29–130.0318%5 Sept →
dust213–30.0320%5 Sept →
dust213–110.0118%5 Sept →
mirage13–70.029%5 Sept →
mirage13–40.0616%5 Sept →
ancient10–130.0416%5 Sept →
nuke13–6-0.0811%5 Sept →
dust213–70.068%5 Sept →
dust213–6-0.023%5 Sept →
mirage13–11-0.0016%5 Sept →
dust213–9-0.0125%5 Sept →
inferno7–130.0418%5 Sept →
inferno9–130.0514%23 Aug →
dust24–130.0532%23 Aug →
mirage13–60.0219%23 Aug →
dust27–13-0.0628%22 Aug →
inferno11–13-0.1010%22 Aug →
ancient13–80.0623%22 Aug →
mirage13–6-0.0316%22 Aug →
anubis8–13-0.0322%22 Aug →
ancient13–70.0717%13 Aug →
mirage13–50.1422%12 Aug →
dust25–13-0.0411%12 Aug →
inferno9–13-0.0410%9 Aug →
mirage12–120.0328%9 Aug →
dust213–70.0315%9 Aug →
anubis13–90.0210%9 Aug →
ancient9–130.008%7 Aug →
ancient6–10-0.059%26 Jul →
dust212–12-0.0418%26 Jul →
inferno13–90.032%26 Jul →
cache6–13-0.0117%26 Jul →
cache11–130.026%26 Jul →
dust28–13-0.008%26 Jul →
dust213–40.0511%25 Jul →
inferno14–16-0.0014%25 Jul →
ancient7–13-0.0819%25 Jul →
mirage13–50.0222%25 Jul →
mirage13–50.0215%25 Jul →
dust213–90.0621%24 Jul →
mirage2–13-0.0614%24 Jul →
dust25–13-0.0426%19 Jul →
anubis11–130.0129%19 Jul →
inferno13–8-0.0517%19 Jul →
dust29–13-0.0812%19 Jul →
ancient13–80.0211%17 Jul →
dust213–20.1316%12 Jul →
mirage13–50.0413%12 Jul →
ancient13–20.043%12 Jul →
mirage13–10.0910%12 Jul →
dust213–5-0.0010%11 Jul →
mirage10–130.0116%11 Jul →
dust26–13-0.0710%11 Jul →
mirage13–16-0.0213%11 Jul →
mirage10–5-0.0022%11 Jul →
mirage13–70.0015%10 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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