Tobedos — CS2 Stats

DE76561198095769299[U:1:135503571]Steam profile ↗

2,856Tracked matches32%Win rate2023Tracked since

2,412Hours in CS13Hrs last 2 wks

CSDB Rating3.8 LearningClutch Specialist

Premier CS Rating10,624Blue band · top ~51.6% of ranked players (population est.)

CSDB Leaderboard#20599 of 28590 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	44.6%	41.7%	44.1%	meets
Shot accuracy	5.1%	8.8%	11.4%	6.3% short
Kill/death ratio	0.71	0.97	1.03	0.32 short
Match win rate	35.8%	43.8%	45.2%	9.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim45

Positioning34

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY37–58–5Last 10037%Win rateLWTLWLLWWW

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.5

Aggression2.8

Utility5.8

Positioning3.4

Opening Duels0.0

Clutch8.0

Reliable in 1v1s

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 NiKo 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 708ms 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

Aim4.5

Positioning3.4

Utility5.8

Mechanics6.7

Opening Duels0.6

Win Impact0.0

Composite 3.8/10 (Learning), 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 rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time719ms−32ms

first ⅓ avg 751ms → last ⅓ avg 719ms

Headshot accuracy24.1%+2.5%

first ⅓ avg 21.6% → 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 — anubis 13–9

13–2Biggest win — inferno

3Longest win streak

5–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 56% over 9trainWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	23	10–13	43%	-0.01
inferno	C	21	8–13	38%	-0.00
nuke	D	18	6–12	33%	-0.01
cache	A	9	5–4	56%	0.00
train	D	7	1–6	14%	-0.02
ancient	D	6	2–4	33%	-0.02
mirage	D	5	1–4	20%	-0.04
vertigo	—	4	2–2	50%	-0.01
dust2	—	3	1–2	33%	-0.03
office	—	2	0–2	0%	-0.05
overpass	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Lifetime stats

51,280Lifetime kills

0.71K/D

4,508Matches

35.8%Match win rate

44.6%Headshot % · Top 50% of Blue band

5.1%Shot accuracy

5,734MVPs

1,443Hours (in match)

2,776Bombs planted

713Bombs defused

Most-used weapons

AK-4712,530

M4A4 / M4A1-S8,878

AWP3,223

MP92,861

Desert Eagle2,624

P2000 / USP-S2,553

MAC-102,279

Glock-181,994

Galil AR1,892

SG 5531,213

Lifetime map wins

6,613inferno

4,472dust2

3,430nuke

1,940vertigo

955office

804train

190lake

159italy

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

Faceit stats

Combat

30Matches

43%Win rate

0.82Avg K/D

71.6ADR

43%Headshot %

Clutches & streaks

60%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	8	50%	1.00	12.1
Nuke	6	67%	1.12	14.7
Ancient	5	20%	0.54	9.6
Anubis	5	40%	0.87	11.4
Vertigo	3	67%	0.55	7.3
Mirage	1	0%	0.32	6.0
Cache	1	0%	0.83	15.0

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.

22.2%Headshot accuracy

29.6%Accuracy (enemy spotted)

28.2%Spray accuracy

80.3%Counter-strafing

11.2°Preaim

708msReaction time

19.9%T opening success

34.6%CT opening success

0.49Enemies flashed / flash

5.1%Flash assists

9.72HE damage / grenade

12.58Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 707.8119ms — above the 700ms mark we flag
Aim Training →
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 0.4915 — 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 19.8769% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.00	11%	28 Aug →
anubis	13–10	0.12	10%	28 Aug →
nuke	15–15	0.08	25%	27 Aug →
inferno	9–13	0.04	30%	27 Aug →
cache	13–8	-0.04	23%	26 Aug →
nuke	11–13	-0.04	18%	25 Aug →
inferno	6–13	0.01	17%	25 Aug →
dust2	16–14	0.00	24%	23 Aug →
nuke	13–3	-0.02	37%	23 Aug →
cache	13–4	0.06	31%	19 Aug →
train	9–13	0.01	22%	18 Aug →
train	5–13	-0.07	17%	18 Aug →
train	4–13	-0.03	29%	17 Aug →
anubis	4–13	-0.05	17%	16 Aug →
nuke	13–3	0.07	17%	16 Aug →
nuke	2–13	-0.08	15%	16 Aug →
train	0–4	-0.08	100%	16 Aug →
ancient	12–16	-0.04	16%	14 Aug →
nuke	8–13	0.01	19%	14 Aug →
inferno	5–13	-0.05	29%	14 Aug →
nuke	15–15	-0.05	16%	13 Aug →
inferno	16–13	-0.04	11%	12 Aug →
nuke	8–13	-0.06	24%	12 Aug →
ancient	6–13	-0.07	23%	10 Aug →
cache	13–8	0.09	28%	10 Aug →
vertigo	13–10	-0.03	35%	10 Aug →
nuke	1–13	-0.07	33%	10 Aug →
cache	8–13	-0.03	24%	10 Aug →
vertigo	6–13	0.03	19%	10 Aug →
dust2	10–13	-0.08	23%	9 Aug →
anubis	11–13	-0.05	18%	2 Aug →
vertigo	9–13	-0.04	24%	31 Jul →
vertigo	13–11	-0.01	12%	31 Jul →
ancient	9–13	-0.02	26%	28 Jul →
anubis	2–13	-0.08	10%	28 Jul →
cache	9–13	-0.02	15%	28 Jul →
anubis	12–12	-0.04	16%	27 Jul →
anubis	13–5	0.03	11%	27 Jul →
anubis	2–13	-0.06	17%	27 Jul →
inferno	13–2	0.11	22%	20 Jul →
anubis	13–9	0.06	12%	20 Jul →
nuke	8–13	0.02	14%	20 Jul →
inferno	13–5	0.10	20%	20 Jul →
mirage	1–13	-0.10	15%	19 Jul →
anubis	13–9	0.12	22%	19 Jul →
nuke	9–13	-0.06	28%	17 Jul →
inferno	3–13	-0.08	18%	17 Jul →
anubis	13–10	-0.01	25%	17 Jul →
anubis	13–9	-0.08	20%	13 Jul →
cache	5–13	-0.05	27%	13 Jul →
inferno	13–8	-0.08	13%	13 Jul →
anubis	13–8	-0.06	10%	13 Jul →
inferno	13–6	-0.00	31%	13 Jul →
anubis	8–13	0.01	4%	12 Jul →
dust2	3–13	-0.01	7%	12 Jul →
inferno	13–8	0.01	16%	10 Jul →
ancient	9–13	-0.05	11%	10 Jul →
cache	16–13	-0.03	24%	10 Jul →
inferno	5–9	-0.07	18%	9 Jul →
office	11–13	-0.04	26%	9 Jul →
office	8–13	-0.06	21%	8 Jul →
mirage	13–8	0.07	33%	6 Jul →
overpass	9–13	0.07	13%	6 Jul →
nuke	13–6	0.01	16%	6 Jul →
inferno	13–11	0.09	33%	5 Jul →
inferno	6–13	-0.04	27%	5 Jul →
anubis	5–13	-0.03	19%	3 Jul →
nuke	13–4	0.08	8%	3 Jul →
inferno	15–15	-0.02	16%	2 Jul →
mirage	10–13	-0.05	13%	2 Jul →
cache	6–13	-0.04	12%	2 Jul →
cache	13–9	0.07	23%	2 Jul →
nuke	1–13	-0.08	33%	1 Jul →
inferno	5–13	-0.04	14%	1 Jul →
inferno	10–13	0.07	23%	30 Jun →
nuke	13–5	0.03	16%	28 Jun →
anubis	13–16	-0.06	19%	28 Jun →
anubis	11–13	-0.03	20%	27 Jun →
nuke	15–15	-0.04	21%	26 Jun →
overpass	13–4	-0.02	25%	26 Jun →
anubis	13–10	-0.07	28%	26 Jun →
inferno	9–13	-0.04	20%	25 Jun →
ancient	13–8	0.04	28%	24 Jun →
inferno	6–13	0.01	37%	24 Jun →
mirage	4–13	-0.09	7%	24 Jun →
anubis	13–9	-0.01	16%	23 Jun →
anubis	11–13	0.01	24%	23 Jun →
anubis	7–13	-0.01	23%	22 Jun →
nuke	13–5	0.02	33%	22 Jun →
train	7–0	-0.01	43%	22 Jun →
train	1–13	0.01	36%	22 Jun →
anubis	12–16	-0.01	19%	18 Jun →
ancient	16–14	-0.00	22%	18 Jun →
nuke	3–13	-0.06	11%	17 Jun →
train	6–13	-0.01	25%	17 Jun →
mirage	10–13	-0.06	17%	15 Jun →
inferno	13–4	0.04	34%	15 Jun →
anubis	13–11	-0.03	20%	14 Jun →
inferno	3–13	-0.09	12%	14 Jun →
inferno	7–13	-0.02	17%	14 Jun →

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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