toby — CS2 Stats

76561198125270360[U:1:165004632]

171Tracked matches46%Win rate2020Tracked since
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim31
Positioning50
Utility27

0–100 skill scores via Leetify.

Recent form

COLD57358Last 10057%Win rateLWWWLLLLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.1
Aggression7.8
Utility2.7
Positioning5.0
Opening Duels3.2

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

b1t

Plays most like b1t 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.1
Positioning5.0
Utility2.7
Mechanics2.7
Opening Duels3.2
Win Impact3.6

Composite 3.4/10 (Learning), 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-0.03−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time625ms+7ms
first ⅓ avg 618ms → last ⅓ avg 625ms
Headshot accuracy13.4%+1.4%
first ⅓ avg 12.0% → last ⅓ avg 13.4%

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

0.13Best rating — dust2 13–2
130Biggest win — dust2
8Longest win streak
62In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 70% over 10ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A25151060%-0.00
nukeA1811761%0.00
officeA117464%-0.01
vertigoS107370%0.02
anubisS96367%-0.03
infernoB84450%-0.04
ancientD72529%-0.03
mirageA53260%-0.04
train41325%-0.04
cache1010%-0.00
overpass110100%-0.01
alpine1010%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.5%Headshot accuracy
29.5%Accuracy (enemy spotted)
32.4%Spray accuracy
62.3%Counter-strafing
11.1°Preaim
632msReaction time
35.7%T opening success
49.8%CT opening success
0.53Enemies flashed / flash
4.4%Flash assists
2.96HE damage / grenade
6.18Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4543% — below the 15% mark we flag

    Aim Training
  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 35.7444% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office6–130.0223%9 Aug
inferno13–10-0.0629%9 Aug
nuke13–90.0325%9 Aug
anubis13–40.0119%9 Aug
mirage10–13-0.0312%9 Aug
ancient10–13-0.1113%30 Jul
dust28–13-0.0424%30 Jul
nuke3–13-0.0132%30 Jul
vertigo2–10-0.0511%30 Jul
train6–13-0.068%30 Jul
dust27–130.0119%1 Jul
nuke12–12-0.045%27 May
cache12–12-0.0022%6 May
anubis3–13-0.108%6 May
inferno6–9-0.1416%6 May
inferno13–50.0413%3 May
dust213–5-0.0521%3 May
ancient6–13-0.073%9 Apr
inferno3–13-0.120%16 Mar
dust213–3-0.0319%12 Mar
office13–110.0310%12 Mar
overpass13–5-0.0120%12 Mar
dust215–15-0.0110%12 Mar
train10–13-0.084%1 Mar
office12–12-0.025%28 Feb
ancient12–120.016%28 Feb
mirage11–3-0.0511%28 Feb
dust213–80.0312%28 Feb
nuke12–12-0.049%28 Feb
nuke13–8-0.015%28 Feb
inferno6–13-0.0214%28 Feb
dust26–13-0.0214%27 Feb
nuke13–10-0.032%27 Feb
anubis1–13-0.076%27 Feb
nuke10–13-0.019%27 Feb
office10–13-0.0310%27 Feb
vertigo13–30.0121%27 Feb
dust213–9-0.058%27 Feb
office13–40.057%23 Feb
dust213–3-0.0011%22 Feb
dust213–00.0316%22 Feb
nuke0–10-0.0329%22 Feb
ancient13–10.0713%22 Feb
dust213–110.0119%22 Feb
anubis13–5-0.0110%22 Feb
vertigo13–3-0.0117%21 Feb
nuke13–50.0318%21 Feb
office13–4-0.109%21 Feb
inferno13–10-0.038%21 Feb
dust20–8-0.039%21 Feb
vertigo2–13-0.038%21 Feb
vertigo13–5-0.0512%21 Feb
office13–5-0.019%21 Feb
train9–130.0116%21 Feb
anubis13–50.0613%21 Feb
dust212–120.0210%21 Feb
nuke13–10.058%21 Feb
inferno13–60.047%21 Feb
dust23–130.0125%19 Feb
anubis13–100.0213%19 Feb
dust216–130.0211%19 Feb
inferno4–13-0.038%19 Feb
office13–10.0728%19 Feb
dust213–30.0617%19 Feb
nuke13–40.108%19 Feb
office3–13-0.064%17 Feb
dust213–6-0.0319%14 Feb
vertigo13–50.0823%14 Feb
nuke13–50.0521%14 Feb
office13–7-0.0412%14 Feb
vertigo13–20.077%14 Feb
anubis13–8-0.0814%14 Feb
ancient12–12-0.0212%14 Feb
nuke13–110.018%14 Feb
ancient0–13-0.0618%13 Feb
vertigo13–30.0714%13 Feb
dust213–20.0228%13 Feb
alpine10–130.0115%13 Feb
nuke7–13-0.1211%13 Feb
mirage13–100.008%11 Feb
office13–80.0016%11 Feb
train13–11-0.0212%11 Feb
ancient13–11-0.0615%11 Feb
anubis13–4-0.0413%11 Feb
nuke13–90.0616%11 Feb
vertigo13–10-0.0014%11 Feb
dust213–110.009%10 Feb
dust26–13-0.0612%9 Feb
dust213–20.135%9 Feb
anubis13–16-0.063%6 Feb
dust213–16-0.0013%6 Feb
nuke13–10.0810%6 Feb
mirage11–13-0.0410%6 Feb
vertigo11–130.0612%25 Jan
nuke13–5-0.009%25 Jan
dust26–13-0.0112%25 Jan
dust213–7-0.047%25 Jan
mirage13–6-0.076%25 Jan
dust213–10-0.048%25 Jan
nuke8–13-0.046%18 Jan

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 →