ToobZ — CS2 Stats

DK76561197970155401[U:1:9889673]Steam profile ↗✓ No bans

5,452Tracked matches50%Win rate2020Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating14,335Blue band · top ~31.9% of ranked players (population est.)

CSDB Leaderboard#35688 of 57198 tracked

FaceitLevel 8 · 1,629 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning41

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateTTLLLWWWWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.6

Aggression5.5

Utility5.0

Positioning4.1

Opening Duels2.6

Clutch2.8

Strong CT-side opener

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 89% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 29% 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

Aim7.6

Positioning4.1

Utility5.0

Mechanics5.7

Opening Duels2.8

Win Impact5.0

Composite 5.2/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time545ms+12ms

first ⅓ avg 533ms → last ⅓ avg 545ms

Headshot accuracy20.4%−0.2%

first ⅓ avg 20.6% → last ⅓ avg 20.4%

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

0.14Best rating — inferno 13–2

13–1Biggest win — nuke

5Longest win streak

9–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 60% over 10anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	0.01
inferno	C	18	8–10	44%	0.01
nuke	A	17	10–7	59%	-0.01
dust2	C	16	7–9	44%	0.01
ancient	B	12	6–6	50%	0.01
cache	A	10	6–4	60%	0.01
anubis	C	5	2–3	40%	-0.02
train	—	3	0–3	0%	-0.00
overpass	—	1	1–0	100%	-0.07

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

1,362Matches

50%Win rate

0.98Avg K/D

85.6ADR

44%Headshot %

Clutches & streaks

34%1v1 clutch win

15%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	116	43%	0.89	15.6
Inferno	111	51%	0.95	16.1
Ancient	92	51%	0.93	16.1
Dust2	83	48%	0.89	15.2
Anubis	68	47%	0.95	15.8
Nuke	59	61%	1.14	18.6
Vertigo	21	62%	0.93	15.4
Overpass	19	58%	0.90	15.4

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.

20.5%Headshot accuracy

37.8%Accuracy (enemy spotted)

41.3%Spray accuracy

75.5%Counter-strafing

11.0°Preaim

554msReaction time

28.6%T opening success

52.1%CT opening success

0.52Enemies flashed / flash

5.2%Flash assists

9.21HE damage / grenade

6.60Flashes / 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 28.6353% — 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
mirage	15–15	-0.02	25%	30 Aug →
inferno	15–15	0.05	17%	30 Aug →
inferno	11–13	0.00	19%	28 Aug →
inferno	5–13	-0.08	5%	28 Aug →
mirage	14–16	-0.01	20%	28 Aug →
inferno	13–11	-0.01	13%	28 Aug →
mirage	13–8	0.04	16%	28 Aug →
overpass	13–9	-0.07	18%	28 Aug →
cache	13–11	0.05	20%	28 Aug →
mirage	11–13	-0.04	15%	28 Aug →
nuke	10–13	-0.06	11%	27 Aug →
ancient	13–11	0.10	23%	27 Aug →
inferno	13–8	-0.00	27%	27 Aug →
cache	6–13	-0.01	25%	27 Aug →
dust2	13–6	-0.03	19%	27 Aug →
dust2	13–10	0.10	24%	27 Aug →
anubis	13–6	0.04	23%	27 Aug →
mirage	7–13	-0.04	10%	27 Aug →
mirage	6–13	-0.04	24%	27 Aug →
inferno	2–13	-0.08	21%	25 Aug →
cache	13–10	0.05	31%	25 Aug →
nuke	13–7	-0.02	16%	25 Aug →
mirage	13–7	0.03	14%	25 Aug →
mirage	13–5	0.06	18%	25 Aug →
mirage	4–13	0.06	38%	25 Aug →
dust2	7–13	0.01	20%	25 Aug →
inferno	10–13	0.02	33%	25 Aug →
nuke	5–13	-0.02	26%	23 Aug →
inferno	5–13	-0.08	36%	23 Aug →
inferno	13–3	0.10	7%	23 Aug →
ancient	11–13	-0.05	38%	23 Aug →
nuke	13–7	-0.02	2%	23 Aug →
mirage	13–11	-0.01	20%	23 Aug →
ancient	13–6	-0.01	13%	23 Aug →
nuke	13–1	0.05	21%	23 Aug →
inferno	4–13	-0.03	29%	22 Aug →
dust2	3–13	-0.02	15%	22 Aug →
dust2	4–13	-0.00	20%	22 Aug →
cache	8–13	-0.02	19%	22 Aug →
inferno	13–10	0.00	22%	22 Aug →
nuke	13–10	0.04	20%	22 Aug →
nuke	13–10	-0.05	17%	22 Aug →
dust2	9–13	-0.05	15%	21 Aug →
ancient	13–10	-0.02	21%	21 Aug →
anubis	13–3	-0.02	17%	21 Aug →
dust2	13–4	-0.01	24%	21 Aug →
cache	6–13	-0.01	23%	20 Aug →
nuke	16–14	-0.02	21%	20 Aug →
inferno	9–13	0.02	17%	20 Aug →
anubis	11–13	-0.04	17%	20 Aug →
inferno	13–2	0.14	45%	20 Aug →
mirage	13–8	0.01	19%	20 Aug →
dust2	13–4	0.04	23%	20 Aug →
mirage	13–10	0.01	34%	20 Aug →
dust2	13–8	0.00	14%	20 Aug →
nuke	10–13	0.07	20%	20 Aug →
dust2	11–13	-0.02	15%	19 Aug →
cache	13–7	0.01	28%	19 Aug →
ancient	7–13	-0.06	16%	18 Aug →
ancient	10–13	-0.01	12%	17 Aug →
inferno	11–13	0.05	20%	16 Aug →
ancient	13–4	0.09	18%	16 Aug →
dust2	6–13	0.02	22%	16 Aug →
nuke	13–5	0.02	19%	16 Aug →
ancient	10–13	-0.04	12%	16 Aug →
inferno	13–11	-0.03	25%	16 Aug →
mirage	6–13	-0.03	22%	16 Aug →
nuke	16–14	-0.01	21%	16 Aug →
nuke	13–8	-0.00	18%	16 Aug →
train	6–13	0.00	15%	16 Aug →
train	12–12	0.04	22%	16 Aug →
train	5–13	-0.04	20%	16 Aug →
ancient	13–6	0.09	30%	16 Aug →
cache	13–6	-0.03	19%	16 Aug →
nuke	16–14	-0.01	14%	15 Aug →
cache	13–10	0.03	17%	15 Aug →
inferno	13–10	0.05	19%	15 Aug →
nuke	9–13	-0.00	31%	15 Aug →
nuke	6–9	-0.08	28%	15 Aug →
mirage	11–13	0.06	31%	14 Aug →
dust2	13–2	0.07	28%	14 Aug →
ancient	13–6	0.10	16%	14 Aug →
dust2	11–13	-0.01	16%	14 Aug →
mirage	16–13	-0.02	23%	14 Aug →
nuke	2–13	-0.11	18%	14 Aug →
dust2	11–13	0.06	23%	14 Aug →
inferno	11–13	-0.01	21%	14 Aug →
inferno	13–9	0.09	11%	14 Aug →
dust2	6–13	-0.06	20%	14 Aug →
mirage	13–4	-0.00	12%	14 Aug →
anubis	5–13	0.01	16%	14 Aug →
nuke	11–13	0.03	24%	13 Aug →
mirage	10–13	-0.03	24%	13 Aug →
dust2	13–11	0.01	20%	13 Aug →
ancient	8–13	-0.07	28%	13 Aug →
ancient	9–13	0.01	19%	12 Aug →
cache	10–13	-0.02	21%	12 Aug →
anubis	7–13	-0.09	18%	11 Aug →
mirage	13–1	0.05	13%	11 Aug →
cache	13–9	0.00	24%	11 Aug →