Titano.

Titano. — CS2 Stats

FR76561198331669047[U:1:371403319]Steam profile ↗✓ No bans

735Tracked matches48%Win rate2020Tracked since
1,780Hours in CS0Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 7 · 1,365 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,365 → 1,365
+4Tracked matches · now 735
−1.9ppWin rate · 50.0% → 48.1%

Rating over time

Premier CS Rating: 19,635 -102 30 Oct – 1 Nov · 2 days played
19,63519,737peak 19,73730 Oct1 Nov
19,737Peak Premier in tracked matches
1,365Highest Faceit ELO seen on CSDB
48Days played since 2025-09-26

Faceit ELO

  • At peak — 1,365
  • Next: Level 8 at 1,531 — 166 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-13
  • Level 6 first seen 2026-09-13

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.

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 rate44.9%45.7%46.8%1.9% short
Shot accuracy9.4%12.7%13.0%3.6% short
Kill/death ratio0.921.051.060.15 short
Match win rate45.6%45.7%46.3%meets

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTitano.FACEITLevel 7 · 1,365 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,365csdb.gg/stats

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Performance scores

Aim81
Positioning50
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateLLWLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · −53ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

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).

Aim8.1
Utility2.6
Positioning5.0
Opening Duels2.9
Clutch4.6

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 581ms 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

Aim8.1
Positioning5.0
Utility2.6
Mechanics7.7
Opening Duels2.8
Win Impact4.4

Composite 5.1/10 (Developing), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time582ms−80ms
first ⅓ avg 663ms → last ⅓ avg 582ms
Headshot accuracy15.2%−1.8%
first ⅓ avg 17.0% → last ⅓ avg 15.2%

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

0.13Best match rating · 13–7 · ancient, 27 Sept →
33%Best headshot accuracy · 11–13 · dust2, 21 Nov →
438msFastest reaction time · 1–9 · office, 8 Mar →
13–2Biggest win · vertigo, 21 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 67% over 6overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%-0.01
nukeB158–753%0.01
vertigoA148–657%-0.00
mirageC83–538%-0.00
trainS64–267%-0.01
overpassD51–420%-0.01
palacioC52–340%0.01
ancientA53–260%0.01
cache—42–250%-0.04
office—30–30%-0.03
inferno—33–0100%0.06
anubis—21–150%0.01
fachwerk—10–10%-0.05
eldorado—10–10%0.05
stronghold—10–10%-0.04
poseidon—10–10%-0.06
italy—10–10%0.01
golden—11–0100%0.06

Across the last 100 tracked matches.

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

Lifetime stats

60,959Lifetime kills
0.92K/D
3,224Matches
45.6%Match win rate
44.9%Headshot %
9.4%Shot accuracy
6,346MVPs
2,015Hours (in match)
2,451Bombs planted
533Bombs defused

Most-used weapons

Lifetime map wins

9,230dust2
3,400nuke
2,647vertigo
1,164lake
649inferno
584train
342office
141safehouse

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

Faceit stats

Combat

106Matches
55%Win rate
0.81Avg K/D
72.1ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23262%0.7912.7
Anubis1958%0.8213.3
Mirage1833%0.7413.8
Vertigo1443%0.7712.9
Nuke8100%0.9514.5
Ancient540%0.8315.4
Overpass475%0.9112.5
Train367%1.0214.3

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.

15.8%Headshot accuracy
42.1%Accuracy (enemy spotted)
44.8%Spray accuracy
84.7%Counter-strafing
11.5°Preaim
581msReaction time
42.8%T opening success
39.4%CT opening success
0.39Enemies flashed / flash
4.0%Flash assists
8.98HE damage / grenade
3.41Flashes / 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 0.3943 — 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 39.3731% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
fachwerk5–13-0.055%2 Oct →
overpass8–13-0.0217%21 Sept →
nuke13–7-0.0231%14 Sept →
vertigo2–13-0.0917%14 Sept →
vertigo13–80.0110%11 Sept →
nuke10–130.0422%11 Sept →
dust25–13-0.1012%11 Sept →
cache13–4-0.0517%4 Sept →
vertigo13–90.0019%4 Sept →
dust213–50.0319%4 Sept →
dust22–13-0.0517%29 Aug →
nuke12–12-0.0414%23 Aug →
eldorado6–90.0521%16 Aug →
cache2–13-0.0914%14 Jun →
dust213–60.0522%14 Jun →
mirage6–13-0.0412%2 May →
cache13–110.0214%2 May →
cache7–13-0.045%2 May →
nuke13–60.0420%17 Apr →
vertigo13–80.0419%17 Apr →
nuke12–120.0419%17 Apr →
vertigo13–20.0815%21 Mar →
nuke13–50.0116%21 Mar →
dust213–3-0.0027%21 Mar →
dust21–13-0.0316%20 Mar →
office1–9-0.110%8 Mar →
vertigo13–3-0.0217%8 Mar →
vertigo4–70.0010%28 Feb →
office12–12-0.0114%1 Feb →
stronghold9–13-0.0413%31 Jan →
poseidon8–8-0.065%31 Jan →
vertigo1–13-0.058%2 Jan →
palacio7–13-0.0313%30 Dec →
vertigo1–13-0.0221%24 Dec →
train13–100.0419%10 Dec →
italy12–120.0125%10 Dec →
palacio4–13-0.0414%8 Dec →
office10–130.0219%28 Nov →
vertigo13–80.0313%28 Nov →
nuke6–13-0.0313%28 Nov →
nuke2–13-0.0120%22 Nov →
dust211–13-0.0333%21 Nov →
nuke13–50.0233%15 Nov →
dust210–130.0321%15 Nov →
mirage6–13-0.068%15 Nov →
nuke12–12-0.0121%10 Nov →
mirage13–100.0315%10 Nov →
dust213–60.0527%9 Nov →
train13–60.0623%8 Nov →
nuke13–80.0022%8 Nov →
dust212–120.0114%2 Nov →
mirage6–13-0.0315%1 Nov →
dust213–7-0.0613%30 Oct →
train13–70.0316%30 Oct →
overpass5–130.0224%30 Oct →
dust213–80.0014%30 Oct →
mirage6–13-0.019%30 Oct →
train3–13-0.093%29 Oct →
vertigo12–12-0.0313%25 Oct →
mirage13–50.0226%24 Oct →
ancient13–80.0118%24 Oct →
anubis13–30.0115%24 Oct →
dust213–50.0423%16 Oct →
inferno13–90.0519%16 Oct →
dust28–13-0.0629%15 Oct →
nuke13–30.0622%15 Oct →
vertigo13–100.0424%15 Oct →
dust213–70.0412%15 Oct →
ancient11–13-0.0412%14 Oct →
mirage13–110.0424%14 Oct →
dust25–13-0.0119%14 Oct →
overpass10–130.0027%13 Oct →
dust214–16-0.0619%13 Oct →
nuke9–130.0622%12 Oct →
train1–10-0.127%5 Oct →
ancient13–5-0.0223%5 Oct →
anubis6–130.0022%5 Oct →
dust23–13-0.063%5 Oct →
inferno13–90.1013%4 Oct →
mirage12–120.0120%4 Oct →
ancient12–12-0.0432%4 Oct →
dust213–50.0310%4 Oct →
palacio13–60.0422%4 Oct →
train13–60.0322%4 Oct →
dust25–13-0.0418%4 Oct →
palacio4–13-0.0310%3 Oct →
vertigo6–13-0.025%3 Oct →
dust213–11-0.0217%3 Oct →
golden13–60.069%2 Oct →
palacio13–90.1011%2 Oct →
nuke13–10-0.0112%1 Oct →
dust213–80.0423%1 Oct →
inferno11–00.0323%29 Sept →
overpass13–90.0414%29 Sept →
dust27–130.0527%29 Sept →
ancient13–70.1315%27 Sept →
dust213–10-0.0517%27 Sept →
overpass3–13-0.1025%26 Sept →
vertigo13–70.0211%26 Sept →
nuke13–110.0017%26 Sept →

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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