Torro

Torro — CS2 Stats

76561197961180996[U:1:915268]Steam profile ↗✓ No bans

1,012Tracked matches50%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating24,660Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#23521 of 224294 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (6 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 2 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,660 +3,931 3 Jun12 Sept · 17 days played
20,71724,660peak 24,6603 Jun12 Sept
24,660Peak Premier in tracked matches
46Days played since 2026-05-02

Premier CS Rating

  • At peak — 24,660
  • +1,119 over 30 days · improving
  • +3,195 over 90 days
  • Next: Red band at 25,000 340 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTorroFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,660 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning59
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateTWWLLWLWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.5pp headshot accuracy · −44ms 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

  • 221 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 556ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 497ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 519ms

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 PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim7.9
Utility3.8
Positioning5.9
Opening Duels3.0
Clutch4.0

Limited 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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.9
Positioning5.9
Utility3.8
Mechanics8.1
Opening Duels3.6
Win Impact5.0

Composite 6.3/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time532ms−56ms
first ⅓ avg 588ms → last ⅓ avg 532ms
Headshot accuracy17.0%+0.3%
first ⅓ avg 16.6% → last ⅓ avg 17.0%

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 · 13–1 · nuke, 31 Aug
43%Best headshot accuracy · 13–0 · inferno, 30 Aug
391msFastest reaction time · 9–13 · ancient, 6 Sept
13–0Biggest win · inferno, 30 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
89In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 81% over 21dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheS2117481%0.02
infernoS1611569%0.01
ancientB157847%-0.01
nukeD1441029%-0.00
anubisD134931%-0.03
dust2D81713%-0.01
mirageD51420%0.01
vertigo2020%0.01
alpine2020%0.02
fachwerk1010%-0.03
shelter1010%0.04
train1010%0.02
overpass110100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

926Matches
51%Win rate
0.99Avg K/D
75.7ADR
35%Headshot %

Clutches & streaks

40%1v1 clutch win
13%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4065%1.1716.1
Mirage2928%0.8814.1
Anubis2733%0.9413.8
Nuke2654%1.0015.0
Dust21346%1.3913.1
Ancient1258%1.1017.1
Cache862%1.3918.3
Vertigo757%1.0417.3

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.

16.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.1%Spray accuracy
86.4%Counter-strafing
10.1°Preaim
528msReaction time
51.9%T opening success
37.0%CT opening success
0.44Enemies flashed / flash
5.5%Flash assists
10.58HE damage / grenade
3.28Flashes / 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. 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 0.4431 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

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

    CT opening duels 36.9618% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.0412%12 Sept
ancient13–80.0322%11 Sept
cache13–20.1129%10 Sept
inferno8–13-0.1012%9 Sept
nuke23–25-0.038%9 Sept
ancient13–80.0218%8 Sept
ancient9–130.0114%6 Sept
nuke13–60.0221%5 Sept
anubis6–13-0.0413%5 Sept
cache13–80.0113%5 Sept
inferno9–130.0226%5 Sept
nuke13–16-0.0215%4 Sept
inferno13–6-0.0110%3 Sept
anubis8–13-0.0611%3 Sept
nuke13–10.0511%2 Sept
cache13–40.0421%2 Sept
dust26–13-0.0318%1 Sept
vertigo4–13-0.0314%1 Sept
nuke11–13-0.0520%31 Aug
nuke13–10.1420%31 Aug
inferno13–100.0124%31 Aug
nuke15–150.0317%31 Aug
ancient0–6-0.090%30 Aug
anubis3–13-0.0821%30 Aug
inferno13–00.0743%30 Aug
ancient8–13-0.034%30 Aug
cache13–5-0.0716%30 Aug
anubis13–16-0.0717%30 Aug
cache16–140.0121%29 Aug
cache13–11-0.0120%19 Aug
inferno13–60.0618%19 Aug
inferno13–11-0.0111%17 Aug
anubis10–13-0.0120%16 Aug
ancient13–80.0414%15 Aug
mirage13–90.0416%15 Aug
anubis9–13-0.0111%14 Aug
cache16–12-0.0014%14 Aug
ancient13–60.058%14 Aug
anubis13–60.0216%14 Aug
cache14–16-0.0016%12 Aug
mirage2–13-0.0421%11 Aug
cache10–130.0418%11 Aug
mirage11–13-0.0115%10 Aug
ancient16–12-0.0217%10 Aug
dust24–13-0.0217%10 Aug
nuke6–13-0.0529%9 Aug
inferno13–70.024%8 Aug
ancient11–13-0.0218%8 Aug
cache13–6-0.0119%8 Aug
anubis13–7-0.0215%8 Aug
nuke13–11-0.0117%5 Aug
cache13–100.0215%5 Aug
inferno16–140.0117%2 Aug
nuke9–130.0114%2 Aug
anubis13–40.048%2 Aug
vertigo11–130.0520%1 Aug
dust28–130.0118%1 Aug
nuke8–130.0322%1 Aug
inferno15–150.0316%1 Aug
cache13–90.0116%31 Jul
ancient6–30.024%28 Jul
cache13–90.0513%28 Jul
anubis5–130.0021%27 Jul
nuke7–130.0226%27 Jul
anubis13–10-0.0413%21 Jul
inferno13–11-0.0317%21 Jul
cache13–70.0822%21 Jul
cache13–50.1010%20 Jul
ancient9–13-0.0418%20 Jul
fachwerk2–13-0.0313%18 Jul
shelter8–130.0436%18 Jul
cache13–80.0523%18 Jul
anubis4–13-0.078%18 Jul
mirage7–130.0423%18 Jul
dust25–130.0224%18 Jul
ancient5–13-0.0120%15 Jul
train11–130.0217%15 Jul
inferno13–11-0.0311%6 Jul
cache13–11-0.0514%21 Jun
dust29–13-0.0810%18 Jun
nuke3–13-0.0623%18 Jun
nuke6–13-0.0816%15 Jun
inferno13–9-0.0318%14 Jun
dust213–10-0.0116%13 Jun
inferno11–130.0316%13 Jun
ancient13–100.029%3 Jun
overpass13–7-0.0215%3 Jun
inferno13–90.0915%3 Jun
ancient4–13-0.0612%3 Jun
mirage6–130.0125%2 Jun
inferno13–16-0.0419%2 Jun
ancient10–13-0.0215%1 Jun
dust27–130.0122%1 Jun
alpine11–13-0.028%1 Jun
cache9–13-0.0411%23 May
dust28–130.0017%23 May
cache13–80.0417%23 May
alpine8–130.0612%22 May
cache12–120.0519%22 May
cache13–80.0715%2 May

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 →