tobilla — CS2 Stats

76561198253205444[U:1:292939716]

1,066Tracked matches24%Win rate2020Tracked since

2,293Hours in CS21Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating19,881Purple band · top ~9% of ranked players (population est.)

CSDB Leaderboard#9341 of 20912 tracked

FaceitLevel 8 · 1,711 ELOTop 31.2% of ranked FACEIT players

WingmanSilver III

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning65

Utility59

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateTLWLLWLTLL

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

Player DNA

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

Aim9.1

Aggression6.9

Utility5.9

Positioning6.5

Opening Duels4.0

Clutch5.4

Sharp aimerStrong CT-side openerEffective flashes

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 96% playstyle similarity

Most alike: positioning profile, 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 91 — 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.

T-side openings. Opening success drops from 60% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim9.1

Positioning6.5

Utility5.9

Mechanics8.1

Opening Duels4.0

Win Impact0.0

Composite 6.5/10 (Solid), 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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time561ms−83ms

first ⅓ avg 645ms → last ⅓ avg 561ms

Headshot accuracy31.6%−12.1%

first ⅓ avg 43.7% → last ⅓ avg 31.6%

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

0.17Best rating — cache 13–3

13–1Biggest win — cache

5Longest win streak

6–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 63% over 8nukeWeakest map · 0% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	16–16	50%	0.04
cache	D	20	6–14	30%	0.03
mirage	D	15	4–11	27%	0.02
inferno	A	8	5–3	63%	0.05
nuke	D	7	0–7	0%	-0.01
train	D	5	0–5	0%	-0.02
office	C	5	2–3	40%	0.05
anubis	—	4	2–2	50%	0.01
ancient	—	3	1–2	33%	0.04
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,795Lifetime kills

1.27K/D · Top 25% of tracked players

2,544Matches

51.1%Match win rate · Top 25% of tracked players

57.6%Headshot % · Top 25% of tracked players

14.2%Shot accuracy · Top 50% of tracked players

9,865MVPs

1,686Hours (in match)

2,298Bombs planted

962Bombs defused

Most-used weapons

AK-4733,273

M4A4 / M4A1-S15,462

AWP10,156

Desert Eagle9,701

P2000 / USP-S5,859

Glock-182,366

P2502,365

SSG 081,739

FAMAS1,250

Galil AR1,037

Lifetime map wins

6,332office

4,432dust2

3,101inferno

1,126nuke

1,030train

324vertigo

292cbble

146italy

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

Faceit stats

Combat

251Matches

59%Win rate

1.49Avg K/D

94.3ADR

55%Headshot %

Clutches & streaks

47%1v1 clutch win

31%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	55%	1.49	19.1
Dust2	20	50%	1.16	17.9
Cache	15	53%	1.49	18.8
Inferno	15	53%	1.30	20.3
Nuke	4	100%	1.44	22.0
Anubis	4	50%	1.14	19.5
Ancient	3	33%	1.86	21.3
Train	1	0%	0.73	11.0

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.

29.8%Headshot accuracy

37.0%Accuracy (enemy spotted)

36.2%Spray accuracy

86.4%Counter-strafing

8.6°Preaim

554msReaction time

32.0%T opening success

60.0%CT opening success

0.71Enemies flashed / flash

8.3%Flash assists

9.63HE damage / grenade

18.10Flashes / 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 31.9864% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	-0.04	26%	28 Aug →
train	0–13	-0.03	27%	28 Aug →
dust2	13–9	0.00	23%	28 Aug →
cache	9–13	0.04	18%	27 Aug →
mirage	10–13	0.06	31%	27 Aug →
dust2	13–11	0.09	42%	27 Aug →
dust2	4–13	-0.03	24%	26 Aug →
mirage	12–12	0.05	33%	23 Aug →
cache	6–13	0.05	32%	23 Aug →
dust2	11–13	0.02	32%	23 Aug →
mirage	1–13	-0.04	20%	22 Aug →
dust2	15–15	-0.02	26%	22 Aug →
dust2	13–6	0.09	29%	21 Aug →
train	12–12	0.03	42%	21 Aug →
mirage	6–13	0.06	27%	21 Aug →
dust2	1–8	0.15	23%	21 Aug →
cache	7–13	0.04	30%	21 Aug →
ancient	15–15	0.07	29%	20 Aug →
mirage	13–6	0.11	33%	20 Aug →
vertigo	10–13	-0.04	16%	20 Aug →
dust2	8–13	0.05	34%	18 Aug →
anubis	4–13	0.03	37%	17 Aug →
train	1–3	-0.04	100%	17 Aug →
cache	4–13	0.05	21%	17 Aug →
dust2	4–13	0.04	33%	17 Aug →
mirage	13–9	0.06	27%	17 Aug →
office	8–13	0.14	39%	16 Aug →
cache	10–13	-0.01	23%	16 Aug →
office	9–13	0.07	27%	16 Aug →
dust2	13–8	0.14	38%	16 Aug →
mirage	8–13	0.01	30%	15 Aug →
dust2	7–13	0.03	24%	15 Aug →
cache	6–13	-0.01	45%	15 Aug →
inferno	8–13	0.05	65%	15 Aug →
nuke	7–13	0.02	34%	15 Aug →
dust2	13–4	0.10	38%	14 Aug →
dust2	13–6	0.16	26%	14 Aug →
cache	13–7	0.14	31%	14 Aug →
dust2	12–12	0.16	36%	13 Aug →
train	6–13	-0.03	38%	13 Aug →
dust2	4–13	0.01	33%	12 Aug →
cache	13–7	0.03	30%	12 Aug →
mirage	13–3	0.07	37%	12 Aug →
nuke	9–13	0.01	36%	12 Aug →
dust2	13–8	0.06	31%	12 Aug →
inferno	13–11	0.03	34%	12 Aug →
mirage	7–13	-0.03	28%	12 Aug →
nuke	0–4	-0.06	20%	12 Aug →
nuke	5–13	0.05	30%	12 Aug →
office	13–9	0.08	49%	11 Aug →
dust2	1–13	-0.03	35%	11 Aug →
ancient	10–13	0.01	32%	11 Aug →
cache	13–3	0.17	35%	11 Aug →
mirage	13–3	0.04	39%	11 Aug →
ancient	13–10	0.03	35%	11 Aug →
cache	13–8	0.02	22%	11 Aug →
train	1–13	-0.02	42%	11 Aug →
cache	0–13	0.01	8%	11 Aug →
office	2–13	-0.07	30%	11 Aug →
inferno	8–13	-0.04	12%	11 Aug →
anubis	13–11	-0.03	16%	10 Aug →
dust2	13–6	0.09	33%	10 Aug →
office	13–10	0.02	51%	10 Aug →
mirage	1–5	0.08	30%	10 Aug →
dust2	13–9	0.07	37%	10 Aug →
cache	8–13	0.04	39%	9 Aug →
dust2	13–9	0.13	40%	9 Aug →
dust2	13–11	-0.03	22%	8 Aug →
mirage	9–13	-0.03	20%	5 Aug →
dust2	13–8	0.00	33%	4 Aug →
anubis	13–9	0.03	10%	4 Aug →
inferno	16–14	0.02	45%	3 Aug →
dust2	13–8	0.07	36%	2 Aug →
cache	13–6	0.05	29%	1 Aug →
cache	17–19	0.01	32%	1 Aug →
dust2	4–13	-0.06	30%	29 Jul →
anubis	7–13	-0.01	17%	29 Jul →
dust2	5–13	-0.02	31%	28 Jul →
dust2	13–6	0.03	43%	27 Jul →
nuke	1–5	-0.08	25%	25 Jul →
mirage	1–13	-0.05	47%	25 Jul →
inferno	13–4	0.16	52%	25 Jul →
cache	10–13	0.01	42%	25 Jul →
cache	8–13	0.00	51%	20 Jul →
mirage	2–13	-0.04	42%	20 Jul →
inferno	13–11	0.03	28%	19 Jul →
cache	4–13	-0.08	24%	19 Jul →
dust2	5–13	-0.03	48%	19 Jul →
inferno	13–10	0.08	57%	18 Jul →
mirage	1–11	-0.01	100%	18 Jul →
dust2	3–13	-0.05	65%	18 Jul →
nuke	11–13	0.00	47%	17 Jul →
cache	9–13	0.04	52%	17 Jul →
dust2	13–8	0.06	57%	15 Jul →
inferno	8–13	0.03	50%	14 Jul →
cache	13–1	0.13	57%	13 Jul →
dust2	19–16	0.05	49%	13 Jul →
cache	6–13	-0.06	80%	12 Jul →
dust2	2–13	-0.00	78%	11 Jul →
nuke	6–13	-0.02	43%	11 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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