toby — CS2 Stats

76561199120632258[U:1:1160366530]

389Tracked matches41%Win rate2021Tracked since
1,322Hours in CS
CSDB Rating4.3 DevelopingHybrid Rifler
Premier CS Rating3,948Grey band · top ~83.3% of ranked players (population est.)
CSDB Leaderboard#26030 of 33520 tracked
FaceitLevel 3 · 769 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.5%42.1%42.5%1.0% short
Shot accuracy9.8%12.1%10.9%1.1% short
Kill/death ratio0.810.990.990.18 short
Match win rate42.0%43.9%44.2%2.2% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtobyFACEITLevel 3 · 769 ELOSTANDINGTop 90.6% of rankedPREMIER3,948 · Grey bandcsdb.gg/stats

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Performance scores

Aim65
Positioning50
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY41554Last 10041%Win rateLLLLWLTWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression7.7
Utility2.0
Positioning5.0
Opening Duels3.0
Clutch5.8

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.

Your pro match

ropz

Plays most like ropz 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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

Reaction time. 620ms 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

Aim6.5
Positioning5.0
Utility2.0
Mechanics7.1
Opening Duels3.0
Win Impact2.1

Composite 4.3/10 (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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time623ms+20ms
first ⅓ avg 604ms → last ⅓ avg 623ms
Headshot accuracy18.3%+0.2%
first ⅓ avg 18.1% → last ⅓ avg 18.3%

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

0.20Best rating — mirage 13–4
130Biggest win — dust2
4Longest win streak
L4Current streak
72In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 22% over 23
MapGradePlayedRecordWin rateAvg rating
infernoD2351822%-0.02
mirageB21101148%0.00
dust2C1761135%-0.02
anubisB158753%-0.00
ancientC135838%-0.01
nukeS86275%0.00
cache1010%-0.01
vertigo110100%-0.09
overpass1010%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,649Lifetime kills
0.81K/D
3,864Matches
42.0%Match win rate
41.5%Headshot %
9.8%Shot accuracy
9,260MVPs
1,322Hours (in match)
1,717Bombs planted
556Bombs defused

Most-used weapons

AK-4715,871
AWP7,340
SSG 082,429
MP71,586
Knife1,322
MP91,236

Lifetime map wins

5,138dust2
3,183inferno
2,645nuke
1,908lake
1,222vertigo
202train
141cbble
107office

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

Faceit stats

Combat

153Matches
45%Win rate
0.85Avg K/D
84.8ADR
44%Headshot %

Clutches & streaks

49%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3650%1.0617.4
Dust21856%1.0516.6
Inferno1173%1.0214.9
Ancient1060%0.9414.4
Nuke944%0.8616.4
Anubis475%0.9614.5
Train250%0.9018.0
Vertigo10%0.678.0

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.

17.6%Headshot accuracy
31.9%Accuracy (enemy spotted)
35.9%Spray accuracy
82.1%Counter-strafing
9.1°Preaim
620msReaction time
41.0%T opening success
43.2%CT opening success
0.32Enemies flashed / flash
2.9%Flash assists
9.96HE damage / grenade
3.35Flashes / 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 0.3223 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

22% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0115%27 Aug
mirage11–13-0.0717%25 Aug
dust26–13-0.0014%25 Aug
inferno13–160.0615%22 Aug
mirage10–50.1118%21 Aug
anubis10–13-0.0513%13 Aug
nuke15–150.0116%12 Aug
mirage13–40.2024%10 Aug
mirage13–80.0125%5 Aug
anubis16–120.0817%4 Aug
cache10–13-0.0137%4 Aug
anubis7–13-0.0517%2 Aug
inferno6–130.0013%29 Jul
inferno5–130.1022%27 Jul
inferno5–90.1018%25 Jul
mirage7–13-0.0115%25 Jul
dust213–7-0.0410%25 Jul
inferno3–9-0.0528%24 Jul
inferno8–13-0.0211%24 Jul
anubis5–13-0.0216%22 Jul
mirage4–130.0315%21 Jul
inferno13–110.0617%18 Jul
nuke16–120.0116%17 Jul
mirage13–20.0313%13 Jul
inferno5–13-0.1711%3 Jul
dust210–50.0220%3 Jul
nuke13–2-0.006%2 Jul
ancient13–10-0.0627%1 Jul
inferno7–13-0.0018%1 Jul
mirage13–20.0733%1 Jul
ancient9–130.0120%18 Jun
mirage0–10-0.1625%18 Jun
mirage13–7-0.0424%17 Jun
inferno2–9-0.209%17 Jun
inferno5–13-0.0419%16 Jun
anubis9–130.0033%15 Jun
ancient13–8-0.0515%15 Jun
mirage6–13-0.0226%15 Jun
anubis13–9-0.0218%15 Jun
mirage13–100.0621%14 Jun
ancient13–110.0519%13 Jun
ancient7–13-0.0816%12 Jun
mirage13–90.0421%12 Jun
anubis13–80.0912%12 Jun
ancient13–90.0724%11 Jun
inferno4–130.0311%10 Jun
dust213–40.0920%10 Jun
dust213–2-0.08100%9 Jun
ancient6–13-0.1521%9 Jun
ancient13–160.0018%8 Jun
mirage8–130.0014%7 Jun
inferno9–50.0317%7 Jun
dust27–13-0.0221%7 Jun
dust21–13-0.0328%6 Jun
ancient5–130.0522%5 Jun
nuke4–130.0128%4 Jun
dust24–13-0.0913%4 Jun
mirage6–13-0.0811%4 Jun
dust26–13-0.0911%4 Jun
nuke9–7-0.0523%3 Jun
nuke13–40.0526%2 Jun
anubis13–30.0119%2 Jun
inferno8–80.0019%30 May
ancient9–130.0116%29 May
inferno6–13-0.0714%29 May
dust27–13-0.0220%28 May
inferno7–9-0.0217%28 May
inferno16–12-0.0214%26 May
anubis13–11-0.0421%26 May
nuke16–130.0227%26 May
inferno2–13-0.1113%24 May
inferno8–8-0.0532%24 May
vertigo9–7-0.0929%24 May
overpass8–13-0.0916%23 May
mirage2–13-0.0317%22 May
anubis2–13-0.1013%22 May
anubis3–13-0.0915%22 May
dust213–00.000%22 May
mirage13–1-0.059%22 May
anubis13–00.0332%22 May
anubis13–00.000%22 May
dust26–130.0224%20 May
dust213–11-0.0419%19 May
inferno9–5-0.0835%19 May
dust210–130.0118%18 May
mirage8–130.0118%17 May
dust23–13-0.0622%16 May
ancient2–13-0.0210%16 May
ancient13–5-0.0417%16 May
nuke16–14-0.0222%16 May
dust25–13-0.096%15 May
inferno13–7-0.0316%15 May
ancient15–150.0714%14 May
anubis13–80.1217%14 May
inferno6–13-0.0314%12 May
dust28–130.0110%10 May
mirage2–13-0.0831%8 May
mirage13–30.0223%6 May
inferno7–13-0.0320%6 May
anubis12–16-0.0124%5 May

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 →