tobito--- — CS2 Stats

76561198008799464[U:1:48533736]

1,027Tracked matches54%Win rate2022Tracked since
CSDB Rating4.1 Developing
Premier CS Rating25,237Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#5309 of 49887 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGtobito---FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER25,237 · Red bandcsdb.gg/stats

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Performance scores

Aim49
Positioning33
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateLTWWWWLTLL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Aim4.9
Aggression2.6
Utility3.8
Positioning3.3
Opening Duels0.0
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9
Positioning3.3
Utility3.8
Mechanics3.4
Opening Duels0.4
Win Impact6.2

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time566ms−114ms
first ⅓ avg 680ms → last ⅓ avg 566ms
Headshot accuracy21.8%+1.5%
first ⅓ avg 20.3% → last ⅓ avg 21.8%

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.

Highlights

0.08Best rating — mirage 13–4
131Biggest win — cache
9Longest win streak
55In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 73% over 15dust2Weakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
dust2D2261627%-0.05
ancientS1511473%-0.02
infernoB158753%-0.02
mirageB147750%-0.03
anubisA138562%-0.02
cacheS128467%-0.01
nukeC83538%-0.04
overpass1010%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
56%Win rate
0.88Avg K/D
73.1ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
50%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage862%0.8614.4
Inferno786%1.0614.4
Anubis3100%0.7515.7
Nuke250%0.5210.0
Ancient250%0.9214.0
Overpass1100%1.0425.0
Vertigo1100%0.9624.0

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.

21.8%Headshot accuracy
29.6%Accuracy (enemy spotted)
33.8%Spray accuracy
65.3%Counter-strafing
11.0°Preaim
595msReaction time
19.7%T opening success
33.0%CT opening success
0.50Enemies flashed / flash
2.1%Flash assists
7.58HE damage / grenade
5.81Flashes / 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 0.4996 — 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 19.6955% — 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.

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0924%29 Aug
ancient15–15-0.0220%22 Aug
cache16–13-0.0218%22 Aug
mirage13–40.0821%22 Aug
nuke13–70.0124%22 Aug
dust213–20.0034%22 Aug
nuke7–13-0.0411%22 Aug
dust215–15-0.0638%21 Aug
anubis6–13-0.0621%21 Aug
dust213–16-0.0711%21 Aug
ancient4–13-0.1220%21 Aug
dust22–13-0.1114%21 Aug
ancient3–13-0.0218%21 Aug
mirage0–13-0.120%15 Aug
dust27–13-0.0832%15 Aug
inferno13–30.0127%15 Aug
cache13–10-0.0325%15 Aug
dust213–4-0.0229%14 Aug
mirage13–7-0.0117%14 Aug
cache13–3-0.0322%14 Aug
nuke8–13-0.0414%14 Aug
dust213–9-0.0021%14 Aug
inferno4–130.0144%8 Aug
mirage6–13-0.0818%8 Aug
inferno13–11-0.0217%6 Aug
ancient13–4-0.0217%4 Aug
cache13–30.0413%4 Aug
anubis13–50.0419%4 Aug
mirage2–130.0027%3 Aug
cache13–8-0.0120%3 Aug
mirage10–13-0.0729%3 Aug
dust25–13-0.0829%3 Aug
inferno8–13-0.0626%3 Aug
ancient13–40.0221%3 Aug
mirage13–6-0.0321%2 Aug
inferno10–13-0.0327%2 Aug
ancient13–50.0123%2 Aug
nuke7–13-0.0723%2 Aug
cache9–13-0.0123%2 Aug
dust213–50.0541%2 Aug
cache13–1-0.0035%2 Aug
cache10–13-0.0732%31 Jul
dust213–30.0344%31 Jul
anubis13–10-0.0826%31 Jul
ancient13–7-0.0015%31 Jul
dust211–13-0.0117%31 Jul
mirage9–13-0.0617%31 Jul
dust28–13-0.0624%30 Jul
inferno15–15-0.0121%30 Jul
ancient13–40.0213%30 Jul
cache13–110.0534%28 Jul
dust29–13-0.1021%27 Jul
mirage6–13-0.0316%27 Jul
cache13–70.0021%26 Jul
mirage13–11-0.055%26 Jul
mirage13–60.0117%25 Jul
anubis13–9-0.0221%25 Jul
anubis0–13-0.1050%24 Jul
ancient13–10-0.0214%24 Jul
anubis13–5-0.0240%24 Jul
inferno13–20.0319%24 Jul
cache6–13-0.0412%24 Jul
mirage13–7-0.0130%21 Jul
cache15–15-0.0123%18 Jul
ancient13–70.0319%18 Jul
anubis13–50.0325%3 Jul
inferno13–70.0125%28 Jun
nuke7–13-0.0616%28 Jun
inferno8–13-0.0821%21 Jun
anubis6–13-0.0320%21 Jun
dust27–13-0.0324%21 Jun
mirage11–13-0.087%21 Jun
inferno13–6-0.0828%20 Jun
anubis10–13-0.1112%20 Jun
nuke15–15-0.0713%18 Jun
ancient13–10-0.0524%18 Jun
inferno6–13-0.079%18 Jun
dust28–13-0.0622%18 Jun
dust29–13-0.0711%17 Jun
nuke13–9-0.0511%12 Jun
dust23–13-0.0621%12 Jun
inferno7–13-0.0222%7 Jun
dust26–13-0.104%7 Jun
anubis10–13-0.0324%7 Jun
dust211–13-0.1115%7 Jun
ancient13–7-0.0735%7 Jun
mirage13–10-0.0427%30 May
inferno13–11-0.0130%30 May
dust213–9-0.0416%30 May
ancient16–140.0119%30 May
ancient13–30.0217%30 May
anubis13–8-0.0345%29 May
nuke13–5-0.0324%29 May
inferno13–3-0.0033%29 May
dust210–13-0.0812%29 May
anubis13–10.0022%29 May
ancient11–13-0.0216%29 May
overpass4–13-0.0424%24 May
inferno16–12-0.0424%24 May
anubis13–40.0721%23 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 →