Toby — CS2 Stats

US76561198079435182[U:1:119169454]Steam profile ↗✓ No bans

254Tracked matches56%Win rate2020Tracked since

884Hours in CS

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating11,806Blue band · top ~45.3% of ranked players (population est.)

CSDB Leaderboard#15329 of 21625 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning61

Utility19

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLWLLLWLWWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.0

Aggression10.0

Utility1.9

Positioning6.1

Opening Duels5.4

Clutch0.0

Sharp aimerLimited 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

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; lower utility contribution.

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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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. 566ms 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

Aim9.0

Positioning6.1

Utility1.9

Mechanics8.2

Opening Duels5.4

Win Impact6.9

Composite 6.3/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time571ms−125ms

first ⅓ avg 696ms → last ⅓ avg 571ms

Headshot accuracy28.1%−4.6%

first ⅓ avg 32.7% → last ⅓ avg 28.1%

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

0.16Best rating — dust2 13–2

13–2Biggest win — mirage

11Longest win streak

5–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	29	11–18	38%	0.04
dust2	C	21	9–12	43%	0.02
cache	A	15	9–6	60%	0.03
ancient	S	8	6–2	75%	0.03
anubis	A	8	5–3	63%	0.01
inferno	D	7	2–5	29%	0.01
nuke	D	6	2–4	33%	-0.01
overpass	—	3	2–1	67%	0.03
vertigo	—	3	3–0	100%	0.07

Across the last 100 tracked matches.

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

Lifetime stats

49,739Lifetime kills

1.16K/D · Top 50% of tracked players

2,258Matches

44.7%Match win rate

47.0%Headshot % · Top 50% of tracked players

20.0%Shot accuracy · Top 5% of tracked players

6,748MVPs

884Hours (in match)

1,203Bombs planted

508Bombs defused

Most-used weapons

AK-4712,333

AWP10,472

Desert Eagle8,096

M4A4 / M4A1-S5,155

P2000 / USP-S2,711

Glock-181,793

SSG 081,653

P901,568

Tec-9840

P250569

Lifetime map wins

6,981dust2

1,734inferno

664nuke

232cbble

211vertigo

113train

91office

49lake

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

Faceit stats

Combat

4Matches

25%Win rate

0.95Avg K/D

92.0ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	1.06	17.0
Dust2	1	0%	0.88	14.0

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.

28.7%Headshot accuracy

35.8%Accuracy (enemy spotted)

34.6%Spray accuracy

86.8%Counter-strafing

7.5°Preaim

566msReaction time

47.8%T opening success

55.6%CT opening success

0.34Enemies flashed / flash

3.5%Flash assists

7.72HE damage / grenade

2.95Flashes / 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.

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 0.3378 — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	0.08	43%	28 Aug →
mirage	13–9	0.03	28%	28 Aug →
dust2	8–13	0.00	24%	28 Aug →
ancient	5–13	-0.01	28%	28 Aug →
anubis	4–13	-0.08	16%	28 Aug →
mirage	13–9	0.03	26%	28 Aug →
mirage	10–13	0.02	19%	27 Aug →
mirage	13–6	0.07	30%	27 Aug →
cache	13–9	0.01	34%	27 Aug →
dust2	4–13	0.01	18%	27 Aug →
mirage	15–15	0.06	29%	27 Aug →
anubis	13–6	0.02	16%	27 Aug →
inferno	15–15	-0.05	28%	26 Aug →
inferno	7–13	0.02	11%	26 Aug →
ancient	13–7	0.07	28%	26 Aug →
dust2	13–11	-0.00	42%	26 Aug →
anubis	13–8	0.07	33%	26 Aug →
dust2	8–13	-0.04	31%	26 Aug →
cache	13–8	0.10	38%	26 Aug →
cache	13–10	0.06	35%	25 Aug →
ancient	13–10	-0.01	12%	25 Aug →
mirage	13–7	-0.00	33%	25 Aug →
mirage	9–13	0.09	44%	24 Aug →
anubis	13–4	0.08	36%	24 Aug →
mirage	13–2	0.06	33%	24 Aug →
nuke	10–13	-0.04	27%	24 Aug →
dust2	13–6	-0.04	29%	23 Aug →
mirage	7–13	0.08	29%	23 Aug →
dust2	15–15	0.06	34%	21 Aug →
mirage	3–13	-0.00	19%	21 Aug →
mirage	8–13	0.02	20%	11 Aug →
ancient	13–11	0.07	21%	11 Aug →
dust2	9–13	-0.00	33%	11 Aug →
mirage	13–11	0.01	28%	11 Aug →
inferno	13–4	0.06	23%	11 Aug →
ancient	13–3	0.06	40%	11 Aug →
anubis	13–3	0.02	18%	11 Aug →
dust2	13–9	0.06	23%	10 Aug →
mirage	13–4	0.09	47%	10 Aug →
cache	13–2	-0.00	40%	10 Aug →
anubis	13–10	0.04	33%	10 Aug →
mirage	13–4	0.03	21%	10 Aug →
ancient	13–8	-0.03	30%	10 Aug →
cache	13–7	0.08	28%	10 Aug →
dust2	11–13	0.07	26%	9 Aug →
mirage	9–13	0.13	19%	9 Aug →
nuke	8–13	0.02	35%	7 Aug →
mirage	13–6	-0.00	26%	7 Aug →
dust2	13–2	0.16	23%	7 Aug →
cache	11–13	0.02	32%	7 Aug →
ancient	5–13	-0.04	25%	29 Jul →
mirage	14–16	0.08	23%	29 Jul →
mirage	10–13	-0.02	34%	19 Jul →
anubis	5–13	-0.08	45%	19 Jul →
cache	13–7	0.01	28%	19 Jul →
inferno	9–13	-0.04	24%	19 Jul →
dust2	13–2	0.06	33%	19 Jul →
inferno	8–13	0.05	37%	15 Jul →
dust2	8–13	-0.00	42%	29 Jun →
anubis	11–13	0.05	34%	29 Jun →
dust2	8–13	-0.02	36%	28 Jun →
overpass	12–16	-0.03	30%	28 Jun →
dust2	13–6	0.04	27%	27 Jun →
mirage	14–16	0.01	22%	27 Jun →
mirage	13–11	0.02	31%	27 Jun →
overpass	13–10	-0.01	33%	25 Jun →
mirage	9–13	0.09	36%	25 Jun →
nuke	7–13	-0.02	17%	23 Jun →
mirage	13–9	0.02	29%	21 Jun →
dust2	7–13	-0.03	21%	10 Jun →
cache	13–10	0.01	33%	9 Jun →
inferno	9–13	0.00	26%	9 Jun →
mirage	4–6	0.04	39%	9 Jun →
dust2	13–7	0.05	22%	9 Jun →
ancient	13–2	0.10	33%	9 Jun →
mirage	2–13	0.02	45%	4 Jun →
vertigo	13–5	0.01	50%	4 Jun →
cache	7–13	-0.04	33%	29 May →
mirage	9–13	0.08	37%	20 May →
cache	4–13	-0.02	29%	20 May →
nuke	13–10	0.02	37%	20 May →
dust2	13–9	0.03	46%	14 May →
vertigo	13–8	0.09	25%	14 May →
inferno	10–3	0.02	50%	14 May →
dust2	13–7	0.03	24%	13 May →
mirage	12–12	-0.00	28%	13 May →
mirage	9–13	-0.02	24%	9 May →
mirage	14–16	0.11	44%	9 May →
nuke	5–13	-0.02	31%	9 May →
mirage	3–13	0.02	23%	9 May →
cache	13–7	0.04	18%	9 May →
dust2	10–13	-0.03	22%	8 May →
overpass	13–8	0.11	26%	5 May →
dust2	10–13	0.03	63%	5 May →
cache	13–7	-0.01	52%	1 May →
nuke	13–8	-0.01	21%	1 May →
dust2	10–13	-0.02	41%	1 May →
cache	10–13	0.01	29%	1 May →
cache	11–13	0.05	30%	1 May →
vertigo	13–11	0.09	31%	27 Apr →