Toro

Toro — CS2 Stats

PM76561198033346008[U:1:73080280]Steam profile ↗✓ No bans

728Tracked matches50%Win rate2020Tracked since
CSDB Rating5.7 SolidAll-Rounder
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 728
−7.1ppWin rate · 57.1% → 50.0%

Rating over time

Premier CS Rating: 15,102 +1,615 15 Mar – 24 Mar · 4 days played
13,48715,102peak 15,10215 Mar24 Mar
15,102Peak Premier in tracked matches
45Days played since 2024-10-23

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

Share this profile

CSDB.GGToroFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWWLWLWLLLW

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · +1.4pp headshot accuracy · −17ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 662ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 637ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.2
Utility5.3
Positioning5.4
Opening Duels3.2
Clutch4.6

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 653ms 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

Aim6.2
Positioning5.4
Utility5.3
Mechanics7.6
Opening Duels3.0
Win Impact5.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time664ms−31ms
first ⅓ avg 694ms → last ⅓ avg 664ms
Headshot accuracy19.1%−0.5%
first ⅓ avg 19.6% → last ⅓ avg 19.1%

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 · inferno, 18 Mar →
37%Best headshot accuracy · 3–13 · office, 18 Oct →
461msFastest reaction time · 3–13 · office, 18 Oct →
13–1Biggest win · cache, 23 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 80% over 5vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB136–746%0.03
mirageA138–562%-0.01
cacheS129–375%0.02
ancientC125–742%-0.01
nukeA95–456%-0.01
trainC94–544%0.01
anubisC73–443%0.02
overpassB63–350%0.01
vertigoD51–420%-0.03
dust2S54–180%0.05
golden—20–20%-0.01
agency—21–150%0.05
fachwerk—10–10%-0.04
palacio—11–0100%0.02
office—10–10%-0.03
basalt—10–10%-0.01
edin—11–0100%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,828Matches
51%Win rate
0.93Avg K/D
61.5ADR
45%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3244%0.7812.3
Mirage2938%0.7111.3
Nuke2774%0.9613.1
Inferno1625%0.7711.9
Anubis1436%0.7812.1
Vertigo1040%0.8312.7
Train967%0.8612.8
Dust2617%0.6511.5

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.

19.2%Headshot accuracy
34.1%Accuracy (enemy spotted)
32.8%Spray accuracy
84.1%Counter-strafing
10.7°Preaim
653msReaction time
35.0%T opening success
49.4%CT opening success
0.43Enemies flashed / flash
4.2%Flash assists
11.36HE damage / grenade
15.09Flashes / 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 0.4252 — below the 0.5 mark we flag

    Grenade Lineups →
  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 34.9589% — below the 40% mark we flag

Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.0635%17 Oct →
inferno7–0-0.0720%17 Oct →
vertigo1–13-0.0933%2 Oct →
overpass13–50.0317%2 Oct →
cache8–13-0.0518%2 Oct →
cache13–20.1020%2 Oct →
mirage9–13-0.0510%2 Oct →
cache10–13-0.0512%2 Oct →
fachwerk3–13-0.0427%2 Oct →
cache13–8-0.0216%4 Sept →
ancient13–80.0315%4 Sept →
cache13–3-0.0119%23 May →
cache13–90.0317%23 May →
cache13–50.1026%23 May →
cache13–40.0121%23 May →
cache13–10.1216%23 May →
cache8–13-0.0122%23 May →
cache13–11-0.0321%15 May →
cache13–40.0630%15 May →
ancient10–13-0.0010%9 Apr →
inferno6–130.0216%9 Apr →
anubis4–13-0.0416%29 Mar →
inferno5–20.0225%29 Mar →
overpass7–13-0.0117%29 Mar →
nuke8–8-0.0711%28 Mar →
vertigo9–70.0419%28 Mar →
ancient4–13-0.0413%27 Mar →
nuke3–13-0.0419%6 Feb →
dust215–150.0317%6 Feb →
overpass8–13-0.0825%6 Feb →
anubis5–130.0316%6 Feb →
overpass15–15-0.0316%3 Jan →
nuke7–13-0.0315%3 Jan →
dust213–11-0.0015%2 Jan →
inferno13–80.1324%21 Dec →
dust213–40.1335%21 Dec →
mirage2–13-0.0717%21 Dec →
inferno8–130.0426%14 Dec →
overpass13–70.0627%12 Dec →
mirage13–6-0.0121%12 Dec →
nuke13–8-0.0516%12 Dec →
mirage13–7-0.0113%7 Dec →
mirage13–20.0336%29 Nov →
nuke13–20.0310%29 Nov →
anubis13–60.1026%29 Nov →
golden5–130.0423%29 Nov →
dust213–100.0829%29 Nov →
agency8–130.0421%19 Oct →
palacio13–70.0224%19 Oct →
golden3–13-0.0735%18 Oct →
office3–13-0.0337%18 Oct →
agency13–70.0721%8 Aug →
dust213–11-0.0029%8 Aug →
overpass13–90.0723%8 Aug →
vertigo9–13-0.0532%4 May →
inferno9–130.0018%25 Apr →
train9–130.0435%24 Apr →
mirage13–10-0.0421%24 Mar →
ancient13–70.0111%24 Mar →
nuke13–110.0522%18 Mar →
inferno13–50.1418%18 Mar →
nuke5–13-0.0115%18 Mar →
mirage13–5-0.0220%17 Mar →
ancient13–70.0422%15 Mar →
ancient6–13-0.0314%15 Mar →
train13–20.1214%15 Mar →
mirage13–90.0220%14 Mar →
ancient11–13-0.0120%12 Mar →
inferno16–14-0.0210%9 Mar →
train14–16-0.0520%8 Mar →
nuke13–100.0719%8 Mar →
anubis13–11-0.0417%8 Mar →
ancient5–13-0.0121%8 Mar →
anubis13–70.0322%8 Mar →
inferno13–20.0623%8 Mar →
mirage13–11-0.0018%8 Mar →
ancient13–9-0.0122%23 Feb →
mirage11–130.0221%23 Feb →
inferno13–16-0.0120%22 Feb →
ancient7–13-0.0422%17 Feb →
mirage13–110.0516%17 Feb →
anubis4–130.0732%17 Feb →
train13–60.0524%15 Feb →
mirage9–13-0.0016%15 Feb →
inferno9–130.0321%15 Feb →
inferno12–120.0716%9 Feb →
vertigo9–13-0.0314%9 Feb →
train7–130.0824%18 Jan →
train11–13-0.0611%1 Jan →
ancient11–130.0524%9 Dec →
ancient13–7-0.0625%6 Dec →
anubis6–13-0.0229%6 Dec →
train13–7-0.027%17 Nov →
train13–7-0.029%17 Nov →
basalt4–13-0.0128%16 Nov →
edin13–8-0.0415%16 Nov →
train5–13-0.0319%16 Nov →
inferno11–130.0216%13 Nov →
mirage11–13-0.0225%12 Nov →
vertigo5–13-0.0322%23 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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