Tito

Tito — CS2 Stats

76561198880467337[U:1:920201609]Steam profile ↗✓ No bans

240Tracked matches46%Win rate2021Tracked since
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGTitoFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning60
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY36–56–8Last 10036%Win rateLLWWLLWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.3pp headshot accuracy · +65ms reaction

Win rate 0pp 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 -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 784ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 760ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 728ms

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 (+1.6 against its own average).

Aim5.3
Utility2.3
Positioning6.0
Opening Duels5.0

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

m0NESY

Plays most like m0NESY 69% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 733ms 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

Aim5.3
Positioning6.0
Utility2.3
Mechanics7.7
Opening Duels4.8
Win Impact3.8

Composite 5.1/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time730ms+37ms
first ⅓ avg 693ms → last ⅓ avg 730ms
Headshot accuracy25.5%+5.1%
first ⅓ avg 20.4% → last ⅓ avg 25.5%

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 · office, 18 May →
54%Best headshot accuracy · 13–5 · nuke, 17 Jun →
492msFastest reaction time · 13–1 · train, 17 Jun →
13–1Biggest win · train, 17 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
3–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 55% over 11officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C166–1038%0.02
nukeC145–936%0.01
cacheD133–1023%0.02
mirageD113–827%-0.00
ancientA116–555%0.04
trainA116–555%0.03
infernoD72–529%0.01
overpassD62–433%0.01
officeD51–420%0.02
warden—21–150%0.01
anubis—10–10%-0.06
sanctum—10–10%0.06
poseidon—10–10%-0.09
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.2%Headshot accuracy
28.5%Accuracy (enemy spotted)
30.1%Spray accuracy
84.4%Counter-strafing
10.3°Preaim
733msReaction time
54.7%T opening success
43.6%CT opening success
0.33Enemies flashed / flash
8.0%Flash assists
8.49HE damage / grenade
4.02Flashes / 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 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 732.7841ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.3264 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0640%8 Aug →
mirage5–13-0.0216%8 Aug →
ancient13–110.0422%8 Aug →
dust213–70.0131%26 Jul →
train7–13-0.0222%18 Jul →
nuke4–13-0.0138%29 Jun →
ancient13–100.0419%25 Jun →
dust211–13-0.0424%25 Jun →
mirage13–20.0814%25 Jun →
train13–11-0.0137%24 Jun →
cache11–13-0.0340%23 Jun →
ancient13–30.0123%23 Jun →
inferno2–13-0.0126%23 Jun →
nuke12–12-0.0323%21 Jun →
train13–50.0338%20 Jun →
nuke9–130.0226%19 Jun →
dust213–70.1120%19 Jun →
nuke8–13-0.0822%17 Jun →
train13–10.0834%17 Jun →
train13–110.0915%17 Jun →
cache5–13-0.0115%17 Jun →
nuke13–50.0654%17 Jun →
nuke7–13-0.0518%17 Jun →
dust210–130.0525%16 Jun →
inferno2–13-0.0116%11 Jun →
nuke12–12-0.0225%7 Jun →
overpass4–13-0.0722%6 Jun →
warden13–90.029%3 Jun →
nuke13–6-0.0218%3 Jun →
overpass9–130.1026%3 Jun →
overpass4–13-0.0425%2 Jun →
ancient9–130.0117%2 Jun →
anubis4–13-0.0644%2 Jun →
nuke13–90.0718%1 Jun →
office8–13-0.0016%1 Jun →
dust26–130.0714%31 May →
cache3–13-0.0416%31 May →
mirage10–13-0.0125%30 May →
cache12–120.0029%26 May →
ancient13–40.1024%26 May →
dust213–50.0525%24 May →
mirage10–13-0.018%24 May →
cache5–130.0122%24 May →
mirage2–13-0.0621%21 May →
mirage13–70.1117%21 May →
sanctum8–80.0613%20 May →
cache8–13-0.0521%20 May →
nuke7–13-0.0017%20 May →
poseidon0–8-0.0925%19 May →
cache8–130.029%18 May →
cache12–120.0818%18 May →
dust213–20.1029%18 May →
cache8–130.0625%18 May →
ancient13–40.0126%18 May →
office11–13-0.0335%18 May →
office13–10.1429%18 May →
warden8–13-0.0124%18 May →
nuke13–90.0816%18 May →
train13–90.0213%18 May →
nuke13–90.0318%18 May →
cache13–20.1023%18 May →
ancient9–130.0920%16 May →
dust212–120.0920%16 May →
inferno13–90.0511%16 May →
overpass13–5-0.017%16 May →
ancient7–130.029%15 May →
vertigo13–30.0918%15 May →
nuke10–130.0811%12 May →
dust29–130.0629%12 May →
cache13–80.0428%12 May →
office11–13-0.0118%9 May →
cache13–70.0621%7 May →
dust28–13-0.029%7 May →
dust28–13-0.0024%6 May →
ancient13–60.0618%6 May →
inferno13–10-0.0027%5 May →
mirage6–13-0.0319%4 May →
train9–130.1024%4 May →
cache10–130.0020%4 May →
dust213–50.0027%4 May →
mirage8–13-0.0424%22 Apr →
ancient1–13-0.0526%22 Apr →
train10–13-0.0222%22 Apr →
train3–130.0621%22 Apr →
nuke7–90.038%21 Apr →
overpass13–160.029%19 Apr →
inferno3–13-0.0614%19 Apr →
dust213–9-0.0417%24 Mar →
train7–13-0.0331%24 Mar →
ancient10–130.0520%22 Mar →
train13–3-0.0117%22 Mar →
office12–12-0.0129%22 Mar →
mirage3–13-0.0338%15 Mar →
overpass9–50.0918%8 Mar →
inferno8–80.098%8 Mar →
mirage4–13-0.0315%21 Feb →
dust21–13-0.0427%21 Feb →
mirage13–50.0229%3 Jun →
dust210–13-0.028%3 Jun →
inferno11–13-0.0120%23 Apr →

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 →

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