Torben Whiplash

Torben Whiplash — CS2 Stats

76561197976738802[U:1:16473074]Steam profile ↗✓ No bans

1,146Tracked matches40%Win rate2021Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating12,830Blue band · top ~39.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). 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: 12,830 -563 21 Jun – 29 Oct · 35 days played
12,83016,454peak 16,45421 Jun29 Oct
16,454Peak Premier in tracked matches
42Days played since 2026-06-21

Premier CS Rating

  • 3,624 below peak (16,454)
  • -427 over 30 days · declining
  • -2,888 over 90 days
  • Next: Purple band at 15,000 — 2,170 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.

Share this profile

CSDB.GGTorben WhiplashPREMIER12,830 · Blue 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

Aim44
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLLLLWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +72ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

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 (+2.3 against its own average).

Aim4.4
Utility6.0
Positioning4.6
Opening Duels0.0
Clutch4.4

Effective flashes

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 65% 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

Counter-strafing. Only 67% 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

Aim4.4
Positioning4.6
Utility6.0
Mechanics3.8
Opening Duels0.4
Win Impact1.7

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time549ms−27ms
first ⅓ avg 576ms → last ⅓ avg 549ms
Headshot accuracy16.7%+1.4%
first ⅓ avg 15.4% → last ⅓ avg 16.7%

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 · 13–2 · inferno, 10 Jul →
39%Best headshot accuracy · 5–13 · ancient, 7 Aug →
359msFastest reaction time · 7–13 · dust2, 8 Oct →
13–2Biggest win · inferno, 10 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 68% over 19anubisWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
nukeS1913–668%-0.03
infernoC177–1041%-0.03
ancientC177–1041%-0.02
mirageD155–1033%-0.03
cacheA127–558%-0.02
anubisD122–1017%-0.04
dust2C52–340%-0.05
overpass—32–167%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
45%Win rate
0.77Avg K/D
57.1ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1872%0.9211.3
Ancient1567%0.8711.3
Inferno1547%0.619.9
Mirage1346%0.8411.8
Anubis1233%0.7710.9
Dust290%0.539.0
Overpass967%0.8414.6
Train633%0.699.3

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.

17.0%Headshot accuracy
28.7%Accuracy (enemy spotted)
32.5%Spray accuracy
67.0%Counter-strafing
11.6°Preaim
549msReaction time
32.7%T opening success
30.2%CT opening success
0.70Enemies flashed / flash
7.4%Flash assists
6.99HE damage / grenade
8.16Flashes / 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. 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 32.6954% — below the 40% mark we flag

Spend your practice time on Anubis

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 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0917%29 Oct →
mirage5–13-0.0522%23 Oct →
dust24–13-0.065%23 Oct →
inferno1–13-0.1113%22 Oct →
inferno13–6-0.0423%22 Oct →
nuke13–9-0.0410%21 Oct →
nuke0–13-0.0720%17 Oct →
cache13–90.0414%17 Oct →
dust213–8-0.0034%17 Oct →
dust27–13-0.0424%14 Oct →
inferno13–6-0.0324%14 Oct →
nuke4–13-0.0510%10 Oct →
mirage9–13-0.0219%10 Oct →
anubis6–13-0.0115%10 Oct →
inferno6–13-0.0538%9 Oct →
ancient13–11-0.0115%9 Oct →
ancient13–11-0.0511%8 Oct →
dust27–13-0.0829%8 Oct →
anubis10–13-0.0216%30 Sept →
mirage2–13-0.076%30 Sept →
mirage6–13-0.0715%26 Sept →
nuke13–90.018%26 Sept →
nuke13–11-0.0419%14 Sept →
ancient12–16-0.0217%12 Sept →
mirage13–6-0.0110%12 Sept →
ancient11–13-0.085%10 Sept →
nuke13–110.0119%10 Sept →
cache6–13-0.0314%10 Sept →
inferno16–140.0121%7 Sept →
nuke13–16-0.0714%7 Sept →
inferno7–13-0.0513%4 Sept →
ancient8–13-0.0010%4 Sept →
mirage10–130.0221%4 Sept →
anubis10–13-0.0511%4 Sept →
mirage11–13-0.0518%29 Aug →
cache16–14-0.0423%29 Aug →
ancient11–13-0.0417%29 Aug →
mirage5–130.0116%26 Aug →
inferno10–13-0.0915%26 Aug →
inferno16–130.0414%24 Aug →
nuke13–11-0.0310%22 Aug →
ancient13–11-0.0014%21 Aug →
inferno13–7-0.057%21 Aug →
mirage13–9-0.0115%21 Aug →
nuke1–13-0.0727%21 Aug →
cache13–8-0.0115%20 Aug →
nuke13–80.0130%20 Aug →
anubis5–13-0.0620%17 Aug →
nuke13–40.0224%17 Aug →
inferno11–13-0.0422%15 Aug →
ancient13–80.0211%15 Aug →
nuke13–4-0.0523%15 Aug →
nuke13–6-0.0312%14 Aug →
ancient13–10-0.0317%14 Aug →
cache13–10-0.0616%14 Aug →
ancient5–130.0227%14 Aug →
anubis7–13-0.0219%12 Aug →
inferno11–13-0.0722%12 Aug →
ancient5–13-0.0439%7 Aug →
nuke10–13-0.0020%7 Aug →
inferno5–13-0.0327%25 Jul →
cache13–70.0021%25 Jul →
mirage15–15-0.0619%25 Jul →
ancient7–13-0.033%25 Jul →
cache1–13-0.0917%24 Jul →
inferno12–160.019%24 Jul →
mirage13–11-0.039%24 Jul →
nuke7–13-0.047%23 Jul →
cache4–13-0.0513%23 Jul →
dust213–8-0.0619%18 Jul →
inferno13–11-0.0423%18 Jul →
anubis1–13-0.0622%17 Jul →
cache8–00.038%17 Jul →
nuke13–10-0.0225%17 Jul →
cache13–70.0416%13 Jul →
nuke13–9-0.0415%13 Jul →
inferno11–130.0014%13 Jul →
mirage16–130.0215%12 Jul →
anubis13–10-0.0412%12 Jul →
cache8–13-0.0618%12 Jul →
ancient8–13-0.057%11 Jul →
cache5–13-0.056%11 Jul →
inferno13–20.1521%10 Jul →
anubis8–13-0.0416%10 Jul →
mirage9–13-0.0423%9 Jul →
ancient13–50.0826%9 Jul →
anubis13–10-0.057%4 Jul →
nuke13–7-0.0917%4 Jul →
overpass13–50.0217%4 Jul →
ancient13–7-0.050%4 Jul →
overpass6–13-0.0221%4 Jul →
ancient10–13-0.0226%3 Jul →
mirage13–10-0.068%3 Jul →
anubis8–13-0.037%3 Jul →
inferno9–13-0.0414%25 Jun →
overpass13–3-0.0421%25 Jun →
nuke13–7-0.0617%25 Jun →
anubis15–15-0.0417%24 Jun →
anubis11–13-0.0517%21 Jun →
ancient4–13-0.0913%21 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.