titan101

titan101 — CS2 Stats

US76561197960279335[U:1:13607]Steam profile ↗✓ No bans

759Tracked matches30%Win rate2021Tracked since
CSDB Rating4.6 DevelopingClutch Specialist
Premier CS Rating10,530Blue band · top ~52.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2025 (387 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.

Rating over time

Premier CS Rating: 10,530 -2,791 13 Jul – 16 Oct · 20 days played
8,58713,321peak 13,32113 Jul16 Oct
14,059Peak Premier in tracked matches
41Days played since 2025-07-13

Premier CS Rating

  • 2,791 below peak (13,321)
  • +636 over 30 days · improving
  • -2,791 over 90 days
  • Next: Purple band at 15,000 — 4,470 to go
  • Reached: 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.GGtitan101FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,530 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning39
Utility70

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateWLLLLLLLLT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −50ms 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 -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 483ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 530ms

Last 20

  • 3–14–3 · 15% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 555ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.3 against its own average).

Aim6.7
Utility7.0
Positioning3.9
Opening Duels0.0
Clutch9.4

Effective flashesReliable in 1v1s

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 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 563ms 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

Aim6.7
Positioning3.9
Utility7.0
Mechanics6.5
Opening Duels0.0
Win Impact0.0

Composite 4.6/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time560ms−49ms
first ⅓ avg 608ms → last ⅓ avg 560ms
Headshot accuracy21.7%−2.8%
first ⅓ avg 24.5% → last ⅓ avg 21.7%

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

0.13Best match rating · 13–4 · inferno, 1 Sept →
50%Best headshot accuracy · 7–13 · train, 13 Jul →
352msFastest reaction time · 8–13 · ancient, 18 Oct →
13–2Biggest win · ancient, 24 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 62% over 13trainWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC188–1044%-0.01
infernoC166–1038%0.02
overpassD154–1127%0.01
dust2C135–838%0.01
nukeA138–562%0.00
ancientC125–742%-0.00
trainD123–925%-0.00
vertigo—10–10%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

35Matches
51%Win rate
0.87Avg K/D
66.4ADR
51%Headshot %

Clutches & streaks

67%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1164%1.0012.9
Vertigo743%0.7111.1
Anubis540%0.618.2
Overpass450%0.9712.3
Nuke30%0.659.7
Dust22100%1.2817.5
Inferno2100%1.2625.5
Mirage10%0.385.0

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.

21.9%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.9%Spray accuracy
79.2%Counter-strafing
10.2°Preaim
563msReaction time
22.3%T opening success
26.5%CT opening success
0.70Enemies flashed / flash
4.8%Flash assists
12.32HE damage / grenade
18.53Flashes / 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 22.2919% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–100.0224%30 Oct →
ancient8–130.0227%18 Oct →
ancient2–13-0.059%27 Sept →
mirage6–13-0.0713%26 Sept →
dust27–130.0130%26 Sept →
mirage5–130.0026%21 Sept →
inferno10–130.0116%21 Sept →
nuke8–13-0.0025%18 Sept →
dust210–13-0.0531%18 Sept →
dust212–120.0232%18 Sept →
dust210–13-0.0426%18 Sept →
inferno13–10-0.0114%14 Sept →
mirage9–13-0.0217%14 Sept →
train12–12-0.0026%16 Aug →
train12–120.0222%16 Aug →
nuke13–70.0731%14 Aug →
vertigo11–130.0133%10 Aug →
dust26–13-0.0311%10 Aug →
dust26–130.0630%7 Aug →
overpass11–13-0.0312%16 Oct →
ancient14–160.0120%13 Oct →
ancient13–100.0726%6 Oct →
dust213–70.0321%6 Oct →
inferno5–13-0.0315%6 Oct →
train7–13-0.0327%3 Oct →
ancient13–11-0.0912%3 Oct →
overpass8–130.0127%2 Oct →
nuke8–10.010%2 Oct →
overpass13–70.1325%26 Sept →
dust211–13-0.0110%22 Sept →
train13–80.0224%21 Sept →
overpass9–13-0.0024%21 Sept →
nuke13–6-0.0028%21 Sept →
train11–130.0221%21 Sept →
nuke13–11-0.0320%21 Sept →
overpass15–150.0129%21 Sept →
train16–14-0.0123%20 Sept →
dust213–60.1022%20 Sept →
mirage13–80.0240%15 Sept →
mirage4–13-0.0224%15 Sept →
mirage15–15-0.0130%14 Sept →
inferno9–130.0622%14 Sept →
train15–150.0632%14 Sept →
train6–13-0.0539%13 Sept →
ancient10–130.0514%13 Sept →
nuke9–13-0.0312%13 Sept →
ancient13–9-0.0314%8 Sept →
nuke14–16-0.0332%8 Sept →
inferno9–130.0120%7 Sept →
nuke4–13-0.0313%7 Sept →
inferno13–60.0528%7 Sept →
overpass11–130.0414%7 Sept →
inferno8–13-0.0923%5 Sept →
nuke13–11-0.0125%5 Sept →
ancient13–9-0.0613%1 Sept →
inferno8–13-0.0332%1 Sept →
inferno13–40.1319%1 Sept →
mirage13–8-0.0426%1 Sept →
nuke5–130.0018%1 Sept →
mirage16–130.0124%31 Aug →
ancient11–13-0.0327%31 Aug →
mirage6–130.0134%31 Aug →
inferno13–40.0312%31 Aug →
nuke13–50.0322%31 Aug →
mirage13–7-0.0239%31 Aug →
train13–110.0026%31 Aug →
dust213–110.0727%30 Aug →
overpass13–40.0831%30 Aug →
mirage16–140.0220%30 Aug →
nuke13–11-0.0422%30 Aug →
inferno9–13-0.0220%29 Aug →
dust213–40.0436%29 Aug →
inferno9–130.0326%29 Aug →
mirage13–10-0.0417%25 Aug →
inferno9–130.0427%25 Aug →
inferno16–120.0622%25 Aug →
nuke13–70.1030%25 Aug →
inferno16–120.0818%24 Aug →
mirage13–40.0440%24 Aug →
ancient13–20.0832%24 Aug →
overpass13–16-0.0126%24 Aug →
ancient8–13-0.0127%23 Aug →
train7–13-0.0422%23 Aug →
overpass4–13-0.0313%23 Aug →
mirage8–130.0020%23 Aug →
overpass13–110.0616%23 Aug →
overpass9–13-0.0319%22 Aug →
overpass8–130.0117%31 Jul →
mirage7–13-0.0521%30 Jul →
mirage8–130.0420%29 Jul →
train8–13-0.0232%25 Jul →
mirage9–13-0.1018%25 Jul →
overpass8–13-0.0332%25 Jul →
dust22–13-0.0531%21 Jul →
overpass1–13-0.0623%21 Jul →
overpass13–40.0622%20 Jul →
mirage16–13-0.0325%20 Jul →
train7–13-0.0350%13 Jul →
ancient3–130.0013%13 Jul →
inferno3–130.0123%13 Jul →

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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