Tobby Lerone — CS2 Stats

ZA76561198142351439[U:1:182085711]Steam profile ↗

1,001Tracked matches44%Win rate2020Tracked since

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim51

Positioning50

Utility33

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLWLWLLWLLL

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

Player DNA

Aim5.1

Aggression7.4

Utility3.3

Positioning5.0

Opening Duels2.6

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

Plays most like b1t 81% playstyle similarity

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

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.1

Positioning5.0

Utility3.3

Mechanics4.3

Opening Duels2.6

Win Impact3.1

Composite 4.2/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time637ms−32ms

first ⅓ avg 670ms → last ⅓ avg 637ms

Headshot accuracy24.1%+0.4%

first ⅓ avg 23.7% → last ⅓ avg 24.1%

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

0.12Best rating — mirage 13–4

13–1Biggest win — overpass

5Longest win streak

7–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 71% over 7ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	42	18–24	43%	-0.01
mirage	A	24	14–10	58%	0.00
inferno	B	10	5–5	50%	-0.02
overpass	S	7	5–2	71%	0.02
ancient	D	5	1–4	20%	-0.03
nuke	—	4	3–1	75%	-0.00
anubis	—	3	2–1	67%	-0.00
train	—	3	1–2	33%	-0.03
cache	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). 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.

23.5%Headshot accuracy

28.1%Accuracy (enemy spotted)

28.2%Spray accuracy

69.2%Counter-strafing

8.4°Preaim

644msReaction time

36.7%T opening success

44.2%CT opening success

0.80Enemies flashed / flash

6.6%Flash assists

4.15HE damage / grenade

4.71Flashes / 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.

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 36.6977% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	0.04	17%	24 Aug →
inferno	13–8	-0.02	18%	24 Aug →
dust2	9–13	-0.01	21%	23 Aug →
inferno	13–5	-0.01	23%	19 Aug →
dust2	11–13	0.03	24%	19 Aug →
cache	10–13	-0.00	21%	18 Aug →
anubis	13–3	0.03	28%	18 Aug →
mirage	5–13	0.02	21%	16 Aug →
dust2	4–13	-0.06	9%	16 Aug →
dust2	6–13	0.02	29%	16 Aug →
cache	8–13	-0.03	19%	10 Aug →
mirage	13–11	0.03	37%	6 Aug →
dust2	13–2	0.00	13%	6 Aug →
ancient	11–13	-0.04	22%	5 Aug →
mirage	13–9	-0.01	20%	4 Aug →
dust2	2–13	-0.06	24%	4 Aug →
mirage	13–11	0.02	15%	2 Aug →
inferno	15–15	-0.06	30%	9 Jul →
dust2	13–10	0.01	29%	16 Jun →
dust2	15–15	-0.02	27%	15 Jun →
dust2	9–13	-0.01	20%	15 Jun →
overpass	11–13	0.08	23%	2 Jun →
mirage	7–2	0.08	59%	2 Jun →
ancient	9–13	-0.06	23%	28 May →
dust2	15–15	0.04	30%	28 May →
nuke	13–8	0.05	13%	12 May →
mirage	9–13	-0.02	23%	29 Apr →
dust2	6–13	-0.06	28%	27 Apr →
dust2	13–10	0.03	25%	27 Apr →
nuke	13–9	0.07	26%	2 Apr →
dust2	10–13	0.02	33%	21 Mar →
dust2	10–13	-0.03	22%	18 Mar →
mirage	13–7	-0.01	24%	16 Mar →
anubis	5–13	0.01	18%	12 Mar →
inferno	7–13	-0.02	22%	12 Mar →
mirage	13–4	0.12	24%	8 Mar →
dust2	5–13	-0.05	12%	8 Mar →
dust2	13–11	0.02	13%	6 Mar →
nuke	16–13	-0.06	15%	4 Mar →
mirage	3–13	-0.06	27%	3 Mar →
dust2	13–8	-0.02	23%	3 Mar →
dust2	13–5	-0.02	19%	3 Mar →
mirage	13–9	0.06	28%	23 Feb →
inferno	9–13	-0.03	26%	16 Feb →
anubis	13–7	-0.05	18%	16 Feb →
dust2	4–13	-0.01	25%	16 Feb →
dust2	13–10	-0.01	29%	9 Dec →
dust2	13–4	-0.04	12%	14 Nov →
overpass	13–10	0.01	18%	13 Nov →
overpass	13–10	-0.01	17%	11 Nov →
inferno	13–10	0.02	19%	11 Nov →
dust2	8–13	0.04	29%	9 Nov →
dust2	13–11	-0.02	12%	9 Nov →
dust2	13–9	0.08	16%	5 Nov →
dust2	11–13	-0.04	22%	2 Nov →
train	13–16	-0.05	6%	2 Nov →
dust2	13–8	0.03	14%	31 Oct →
dust2	16–12	-0.00	16%	23 Oct →
mirage	13–9	-0.01	24%	22 Oct →
inferno	4–13	-0.07	20%	21 Oct →
mirage	6–13	-0.01	25%	21 Oct →
dust2	8–13	-0.06	23%	16 Oct →
mirage	13–11	-0.05	8%	15 Oct →
dust2	13–11	-0.00	30%	15 Oct →
mirage	13–5	-0.01	30%	15 Oct →
inferno	6–13	-0.04	30%	15 Oct →
ancient	11–13	-0.02	27%	14 Oct →
dust2	10–13	-0.06	21%	21 Sept →
mirage	13–4	-0.01	20%	21 Sept →
dust2	13–6	0.00	16%	21 Sept →
ancient	15–15	-0.03	24%	20 Sept →
dust2	13–4	0.00	22%	20 Sept →
mirage	13–7	-0.02	16%	20 Sept →
train	13–11	-0.06	33%	14 Sept →
train	15–15	0.02	33%	2 Sept →
dust2	13–16	0.01	35%	31 Aug →
mirage	13–8	0.00	33%	29 Aug →
nuke	9–13	-0.06	18%	27 Aug →
overpass	13–1	-0.05	43%	27 Aug →
mirage	9–13	-0.01	21%	27 Aug →
mirage	5–13	-0.05	25%	27 Aug →
dust2	13–6	-0.02	29%	27 Aug →
overpass	13–5	0.05	26%	25 Aug →
mirage	3–13	0.02	39%	22 Aug →
overpass	11–13	0.02	27%	17 Aug →
dust2	13–6	-0.00	17%	17 Aug →
mirage	14–16	-0.03	26%	15 Aug →
inferno	13–10	0.06	40%	15 Aug →
dust2	4–13	-0.03	31%	15 Aug →
dust2	8–13	-0.07	21%	5 Aug →
mirage	9–13	-0.04	12%	3 Aug →
dust2	13–8	0.04	19%	31 Jul →
dust2	4–13	-0.02	18%	30 Jul →
mirage	13–1	-0.04	17%	29 Jul →
overpass	13–9	0.06	14%	29 Jul →
dust2	6–13	-0.04	10%	26 Jul →
ancient	13–9	-0.01	13%	21 Jul →
inferno	13–9	0.01	21%	21 Jul →
dust2	9–13	0.01	25%	11 Jun →
dust2	15–15	-0.07	15%	25 May →

Show all 100 matchesShow fewer

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 →

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