toby toblerone — CS2 Stats

76561198085245910[U:1:124980182]Steam profile ↗VAC banned

865Tracked matches61%Win rate2020Tracked since

CSDB Rating5.5 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim74

Positioning56

Utility40

0–100 skill scores via Leetify.

Recent form

COLD58–39–3Last 10058%Win rateWLLLWLLLWL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

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

Aim7.4

Aggression7.0

Utility4.0

Positioning5.6

Opening Duels2.6

Clutch5.6

Strong CT-side openerLimited 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 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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.

T-side openings. Opening success drops from 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim7.4

Positioning5.6

Utility4.0

Mechanics6.8

Opening Duels2.6

Win Impact8.6

Composite 5.5/10 (Solid), 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 rating0.01−0.05

first ⅓ avg 0.06 → last ⅓ avg 0.01

Reaction time553ms+11ms

first ⅓ avg 542ms → last ⅓ avg 553ms

Headshot accuracy16.9%−2.3%

first ⅓ avg 19.1% → last ⅓ avg 16.9%

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

0.39Best rating — inferno 9–1

13–1Biggest win — inferno

8Longest win streak

9–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 77% over 22anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	0.01
inferno	A	22	14–8	64%	0.05
dust2	S	22	17–5	77%	0.03
ancient	A	8	5–3	63%	-0.00
cache	B	8	4–4	50%	0.01
anubis	C	5	2–3	40%	-0.02
overpass	—	4	2–2	50%	0.03
poseidon	—	3	3–0	100%	0.20
nuke	—	2	0–2	0%	-0.05
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

197Matches

51%Win rate

1.13Avg K/D

71.8ADR

43%Headshot %

Clutches & streaks

48%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	57	40%	0.96	15.2
Dust2	37	49%	1.18	16.1
Ancient	26	54%	1.12	16.4
Anubis	22	50%	1.01	16.2
Vertigo	10	60%	1.11	17.8
Inferno	9	44%	1.14	15.0
Overpass	9	44%	1.10	16.4
Nuke	4	100%	1.39	18.0

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.

16.8%Headshot accuracy

34.8%Accuracy (enemy spotted)

34.1%Spray accuracy

80.7%Counter-strafing

8.5°Preaim

551msReaction time

29.4%T opening success

51.0%CT opening success

0.40Enemies flashed / flash

5.7%Flash assists

6.28HE damage / grenade

4.90Flashes / 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 0.3995 — below the 0.5 mark we flag
Grenade Lineups →
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 29.3945% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–1	0.06	11%	29 Jun →
nuke	2–13	-0.09	13%	24 Jun →
anubis	11–13	-0.00	17%	23 Jun →
mirage	7–13	-0.01	16%	7 Jun →
dust2	13–4	0.08	9%	22 May →
mirage	11–13	-0.01	13%	18 May →
mirage	4–13	-0.04	12%	14 May →
anubis	9–13	-0.03	18%	14 May →
inferno	9–6	0.10	20%	13 May →
inferno	6–13	-0.01	25%	9 May →
inferno	16–14	0.03	14%	9 May →
dust2	13–8	0.01	22%	9 May →
ancient	13–9	-0.02	19%	9 May →
overpass	8–13	0.04	21%	9 May →
cache	4–13	-0.05	18%	7 May →
cache	8–13	-0.02	23%	5 May →
inferno	13–2	0.06	9%	5 May →
dust2	13–11	-0.02	19%	5 May →
dust2	13–4	0.13	15%	4 May →
ancient	13–9	0.04	19%	4 May →
cache	12–12	-0.01	18%	3 May →
mirage	13–8	-0.00	18%	2 May →
cache	13–7	-0.03	23%	2 May →
cache	13–6	0.13	20%	1 May →
cache	13–11	-0.01	20%	1 May →
cache	12–12	0.04	22%	1 May →
cache	13–11	0.03	21%	29 Apr →
anubis	7–13	-0.08	11%	25 Apr →
dust2	13–6	-0.02	19%	24 Apr →
ancient	16–14	-0.05	5%	24 Apr →
anubis	13–3	-0.01	18%	24 Apr →
mirage	13–9	0.04	14%	23 Apr →
ancient	13–11	0.01	19%	22 Apr →
mirage	14–16	0.01	11%	21 Apr →
mirage	6–2	0.02	17%	21 Apr →
inferno	9–13	-0.08	26%	21 Apr →
dust2	11–13	-0.03	25%	21 Apr →
ancient	13–2	0.02	12%	21 Apr →
mirage	13–11	0.02	11%	21 Apr →
mirage	13–6	-0.01	21%	20 Apr →
mirage	5–13	-0.06	22%	20 Apr →
mirage	13–11	0.03	5%	20 Apr →
nuke	10–13	-0.01	15%	19 Apr →
ancient	8–13	-0.01	10%	19 Apr →
inferno	13–5	0.10	17%	19 Apr →
inferno	13–8	-0.02	22%	19 Apr →
dust2	13–8	0.03	20%	19 Apr →
inferno	10–13	0.02	20%	19 Apr →
mirage	13–5	0.16	24%	19 Apr →
dust2	13–10	0.00	32%	16 Apr →
dust2	13–11	-0.03	18%	16 Apr →
mirage	12–6	-0.03	11%	15 Apr →
inferno	9–4	-0.03	22%	15 Apr →
inferno	5–13	-0.00	13%	15 Apr →
mirage	3–13	-0.03	17%	15 Apr →
dust2	13–3	0.01	16%	15 Apr →
mirage	7–13	0.07	15%	12 Apr →
mirage	13–6	0.04	34%	9 Apr →
dust2	13–1	0.07	17%	9 Apr →
mirage	12–12	0.04	26%	8 Apr →
dust2	11–13	-0.04	13%	5 Apr →
mirage	10–13	-0.07	18%	5 Apr →
mirage	13–16	0.01	28%	5 Apr →
ancient	10–13	-0.03	30%	4 Apr →
dust2	12–16	-0.07	16%	4 Apr →
dust2	13–4	0.04	24%	3 Apr →
dust2	9–13	0.04	27%	1 Apr →
mirage	13–9	0.05	19%	1 Apr →
mirage	8–13	0.01	24%	23 Mar →
ancient	3–13	0.00	18%	22 Mar →
dust2	11–13	0.06	26%	22 Mar →
inferno	9–4	-0.06	17%	22 Mar →
inferno	9–5	0.06	21%	22 Mar →
dust2	10–0	0.08	31%	22 Mar →
poseidon	9–2	0.22	38%	22 Mar →
poseidon	9–3	0.08	24%	22 Mar →
mirage	13–16	-0.03	22%	21 Mar →
inferno	9–0	0.23	13%	21 Mar →
inferno	5–9	-0.14	10%	21 Mar →
inferno	9–4	0.12	20%	21 Mar →
inferno	9–4	0.14	32%	21 Mar →
dust2	13–8	0.04	15%	21 Mar →
dust2	13–3	0.07	16%	21 Mar →
overpass	13–4	0.11	21%	20 Mar →
dust2	13–9	0.12	17%	20 Mar →
dust2	13–8	0.01	17%	20 Mar →
inferno	9–5	0.17	17%	20 Mar →
mirage	6–13	-0.08	27%	19 Mar →
overpass	7–13	-0.03	10%	19 Mar →
anubis	13–10	0.04	15%	19 Mar →
dust2	13–6	0.03	11%	19 Mar →
mirage	4–13	-0.01	9%	19 Mar →
vertigo	7–9	-0.02	24%	19 Mar →
inferno	7–9	0.05	14%	19 Mar →
inferno	9–13	-0.03	6%	18 Mar →
inferno	1–9	-0.12	7%	18 Mar →
poseidon	9–0	0.29	19%	18 Mar →
inferno	9–1	0.39	26%	17 Mar →
overpass	13–9	0.01	18%	17 Mar →
mirage	13–3	0.08	28%	17 Mar →