torll

torll — CS2 Stats

US76561198060881663[U:1:100615935]Steam profile ↗✓ No bans

206Tracked matches45%Win rate2022Tracked since
CSDB Rating2.8 Learning
Premier CS Rating3,129Grey band · top ~86.7% of ranked players (population est.)
CSDB Leaderboard#22032 of 28214 tracked
Ladder ranks via Leetify

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CSDB.GGtorllPREMIER3,129 · Grey bandcsdb.gg/stats

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Performance scores

Aim31
Positioning62
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY34624Last 10034%Win rateWLLLWWWLLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim3.1
Aggression10.0
Utility1.2
Positioning6.2
Opening Duels4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

sh1ro

Plays most like sh1ro 74% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 728ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim3.1
Positioning6.2
Utility1.2
Mechanics0.1
Opening Duels4.6
Win Impact3.3

Composite 2.8/10 (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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time749ms−14ms
first ⅓ avg 764ms → last ⅓ avg 749ms
Headshot accuracy10.8%−1.6%
first ⅓ avg 12.3% → last ⅓ avg 10.8%

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.

Highlights

0.21Best rating — nuke 8–0
131Biggest win — nuke
3Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 8dust2Weakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
nukeC26101638%-0.01
mirageC2181338%-0.01
dust2D2141719%-0.03
cacheD124833%-0.04
infernoB84450%-0.04
ancientC73443%-0.03
anubis31233%-0.04
train1010%-0.10
italy1010%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 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.

10.8%Headshot accuracy
39.7%Accuracy (enemy spotted)
37.3%Spray accuracy
50.5%Counter-strafing
10.3°Preaim
728msReaction time
48.1%T opening success
48.5%CT opening success
0.23Enemies flashed / flash
3.2%Flash assists
5.57HE damage / grenade
0.49Flashes / 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 10.7579% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 727.6578ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.2336 — below the 0.5 mark we flag

    Grenade Lineups
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.

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.018%28 Aug
nuke9–130.0114%28 Aug
ancient7–130.0211%26 Aug
inferno9–130.000%26 Aug
inferno13–10-0.039%22 Aug
mirage13–110.013%21 Aug
ancient13–10-0.0115%21 Aug
dust27–130.029%20 Aug
anubis14–16-0.0614%20 Aug
nuke16–14-0.049%20 Aug
cache13–70.014%17 Aug
mirage13–90.027%17 Aug
nuke9–13-0.0510%17 Aug
mirage11–130.0810%14 Aug
cache8–13-0.0419%14 Aug
dust26–13-0.059%14 Aug
nuke13–10.0915%14 Aug
nuke9–13-0.027%12 Aug
cache15–15-0.0110%12 Aug
mirage4–13-0.0122%12 Aug
dust214–16-0.028%11 Aug
inferno13–70.0115%11 Aug
ancient10–13-0.019%10 Aug
nuke8–130.0712%10 Aug
dust213–11-0.0613%7 Aug
cache7–13-0.0213%7 Aug
inferno13–11-0.0111%7 Aug
ancient13–9-0.1114%7 Aug
dust213–2-0.0121%7 Aug
dust211–130.0013%6 Aug
nuke13–7-0.075%31 Jul
dust24–13-0.089%31 Jul
cache8–13-0.069%30 Jul
dust25–13-0.088%30 Jul
nuke10–13-0.0515%30 Jul
mirage11–13-0.063%28 Jul
nuke8–13-0.0516%28 Jul
cache2–13-0.087%28 Jul
dust213–80.059%27 Jul
dust24–13-0.0710%27 Jul
nuke3–130.0212%27 Jul
nuke13–10-0.036%17 Jul
anubis4–13-0.0621%17 Jul
mirage8–13-0.033%17 Jul
cache13–6-0.0717%17 Jul
anubis13–70.019%17 Jul
dust210–13-0.025%16 Jul
cache7–10.009%16 Jul
cache7–13-0.040%8 Jul
cache10–13-0.0812%8 Jul
cache13–3-0.036%8 Jul
mirage10–130.0316%5 Jul
dust28–13-0.0513%5 Jul
dust215–15-0.0110%4 Jul
ancient5–13-0.0113%28 Jun
dust26–13-0.079%18 Jun
mirage13–110.0611%7 Jun
nuke11–13-0.0410%7 Jun
nuke7–13-0.0617%3 Jun
mirage12–16-0.063%3 Jun
nuke10–13-0.049%30 May
dust211–13-0.0228%27 May
nuke13–10.053%27 May
ancient5–13-0.0213%22 May
mirage7–13-0.038%16 May
mirage13–50.0321%14 May
dust210–13-0.0412%14 May
dust28–13-0.0811%11 May
nuke7–13-0.0818%6 May
dust210–13-0.0422%30 Apr
nuke12–12-0.0729%30 Apr
cache0–13-0.109%29 Apr
mirage10–13-0.0417%28 Apr
nuke15–15-0.0517%28 Apr
ancient13–9-0.077%26 Apr
mirage10–13-0.066%24 Apr
nuke13–11-0.0211%24 Apr
inferno0–13-0.0714%22 Apr
dust213–110.0614%18 Apr
inferno2–13-0.0725%18 Apr
mirage13–80.1115%12 Apr
nuke13–110.0316%11 Apr
mirage13–160.0617%11 Apr
nuke13–50.045%29 Mar
dust24–13-0.069%29 Mar
mirage1–13-0.090%29 Mar
train5–13-0.106%29 Jan
nuke8–00.2123%24 Oct
nuke9–13-0.020%14 Oct
nuke9–1-0.0211%14 Oct
inferno13–8-0.036%14 Oct
inferno6–13-0.0918%14 Oct
mirage6–13-0.043%10 Oct
nuke3–13-0.1018%10 Oct
mirage13–8-0.010%9 Oct
mirage13–70.006%9 Oct
italy5–130.0219%8 Oct
dust24–130.043%8 Oct
mirage3–13-0.0722%8 Oct
nuke8–13-0.039%8 Oct

Match data via Leetify.

Recent teammates

Milestones

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