tiziaN — CS2 Stats

PROBIGGermanyCoachSettings & gear profile →

76561197997556936[U:1:37291208]

4,371Tracked matches60%Win rate2020Tracked since

CSDB Rating7.1 StrongHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim85

Positioning54

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWWLLLWLWWL

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.

Aim8.5

Aggression5.9

Utility6.8

Positioning5.4

Opening Duels1.5

Clutch4.0

Sharp aimerStrong 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 Twistzz 94% playstyle similarity

Most alike: opening-fight frequency, 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

Preaim. Mechanical aim is strong but the crosshair sits 11.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning5.4

Utility6.8

Mechanics6.8

Opening Duels2.7

Win Impact8.3

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time542ms−1ms

first ⅓ avg 543ms → last ⅓ avg 542ms

Headshot accuracy27.2%+2.5%

first ⅓ avg 24.7% → last ⅓ avg 27.2%

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 — ancient 13–5

13–2Biggest win — dust2

7Longest win streak

W2Current streak

15–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 89% over 9mirageWeakest map · 47% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	14–11	56%	0.02
ancient	B	25	13–12	52%	0.01
mirage	B	15	7–8	47%	0.01
anubis	S	9	8–1	89%	0.01
overpass	B	8	4–4	50%	0.04
nuke	A	7	4–3	57%	0.01
inferno	B	6	3–3	50%	-0.01
train	—	3	0–3	0%	-0.01
cache	—	2	1–1	50%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,563Matches

57%Win rate

1.23Avg K/D

89.5ADR

57%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

27Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	658	56%	1.16	18.0
Dust2	635	56%	1.15	18.5
Mirage	529	49%	1.09	17.8
Anubis	404	56%	1.14	17.9
Nuke	211	51%	1.24	18.8
Inferno	132	52%	1.06	17.2
Overpass	113	61%	1.23	19.7
Train	62	52%	1.24	18.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$258Inventory value253ItemsFull inventory breakdown →

$16

$14

$12

$11

$10

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.3%Headshot accuracy

35.7%Accuracy (enemy spotted)

43.6%Spray accuracy

80.6%Counter-strafing

11.3°Preaim

536msReaction time

20.3%T opening success

51.6%CT opening success

0.62Enemies flashed / flash

11.4%Flash assists

6.88HE damage / grenade

16.40Flashes / 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 20.3103% — below the 40% mark we flag

Spend your practice time on Mirage

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

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–3	0.03	23%	17 Aug →
anubis	13–7	0.00	15%	30 Jul →
dust2	6–13	0.02	56%	26 Jun →
ancient	10–13	-0.01	26%	26 Jun →
ancient	9–13	-0.01	30%	26 Jun →
ancient	13–7	0.00	28%	25 Jun →
cache	4–13	-0.07	17%	25 Jun →
mirage	13–6	0.06	18%	25 Jun →
anubis	13–9	0.04	23%	24 Jun →
overpass	10–13	-0.02	23%	23 Jun →
dust2	9–13	0.05	26%	20 Jun →
dust2	13–4	0.07	19%	20 Jun →
dust2	13–3	-0.00	20%	15 Jun →
ancient	13–7	0.03	16%	15 Jun →
dust2	13–2	-0.01	33%	15 Jun →
mirage	13–8	0.05	26%	29 May →
ancient	5–13	-0.02	38%	24 May →
mirage	9–13	-0.04	26%	9 May →
dust2	13–11	0.01	29%	9 May →
ancient	6–13	-0.09	36%	9 May →
cache	13–5	-0.02	28%	1 May →
mirage	13–9	0.04	36%	1 May →
ancient	5–13	-0.04	25%	1 May →
ancient	13–11	0.07	26%	3 Mar →
nuke	13–9	0.00	22%	20 Jan →
dust2	13–11	-0.03	18%	16 Dec →
dust2	5–13	-0.06	42%	11 Dec →
dust2	9–13	-0.00	31%	3 Dec →
ancient	13–11	0.08	26%	26 Nov →
mirage	13–11	-0.01	38%	21 Nov →
dust2	14–16	0.01	26%	1 Nov →
inferno	10–13	0.05	23%	1 Nov →
mirage	17–19	0.01	27%	17 Oct →
overpass	16–14	0.07	41%	3 Oct →
nuke	13–4	0.01	52%	29 Sept →
train	11–13	0.03	28%	5 Sept →
overpass	10–13	0.06	25%	4 Sept →
dust2	6–13	-0.03	26%	1 Sept →
train	2–13	-0.02	19%	28 Aug →
dust2	13–7	0.10	46%	14 Aug →
ancient	13–5	0.14	27%	14 Aug →
ancient	7–13	-0.02	33%	6 Aug →
overpass	13–10	0.01	27%	4 Aug →
mirage	11–13	0.04	40%	1 Aug →
overpass	6–13	0.05	37%	31 Jul →
overpass	13–11	0.03	19%	31 Jul →
overpass	5–13	-0.03	33%	30 Jul →
mirage	6–13	0.00	42%	30 Jul →
inferno	13–6	-0.04	40%	30 Jul →
inferno	13–6	-0.04	40%	30 Jul →
nuke	16–14	0.06	36%	28 Jul →
dust2	9–13	0.05	23%	28 Jul →
ancient	2–13	0.01	23%	28 Jul →
ancient	16–13	0.06	21%	27 Jul →
inferno	16–14	0.07	25%	27 Jul →
ancient	9–13	-0.02	34%	27 Jul →
dust2	13–11	0.05	31%	27 Jul →
overpass	13–5	0.12	22%	27 Jul →
ancient	13–11	0.02	22%	27 Jul →
nuke	7–13	0.02	57%	27 Jul →
mirage	10–13	0.02	19%	26 Jul →
dust2	6–13	-0.02	22%	25 Jul →
dust2	13–7	0.05	39%	25 Jul →
mirage	7–13	-0.07	8%	24 Jul →
mirage	13–8	0.07	17%	23 Jul →
ancient	16–13	-0.03	28%	20 Jul →
dust2	9–13	0.00	28%	19 Jul →
mirage	6–13	0.01	28%	17 Jul →
anubis	13–11	0.06	29%	12 Jul →
anubis	22–20	0.03	35%	11 Jul →
anubis	13–6	-0.05	22%	11 Jul →
nuke	11–13	0.01	26%	9 Jul →
inferno	8–13	-0.03	25%	8 Jul →
dust2	11–13	-0.01	44%	8 Jul →
dust2	13–9	0.08	28%	7 Jul →
ancient	13–16	-0.05	19%	6 Jul →
mirage	8–13	0.04	26%	5 Jul →
dust2	13–8	0.06	28%	4 Jul →
nuke	12–16	-0.02	14%	4 Jul →
ancient	11–13	-0.06	21%	3 Jul →
nuke	13–9	-0.02	53%	3 Jul →
ancient	13–9	0.06	20%	2 Jul →
ancient	16–14	0.04	26%	1 Jul →
ancient	8–13	-0.03	13%	1 Jul →
train	11–13	-0.05	20%	30 Jun →
dust2	16–12	0.04	24%	30 Jun →
anubis	7–13	-0.03	26%	30 Jun →
ancient	5–13	0.00	24%	30 Jun →
ancient	13–7	0.06	20%	30 Jun →
dust2	9–13	0.07	26%	29 Jun →
anubis	13–10	-0.02	28%	28 Jun →
dust2	13–4	-0.01	27%	28 Jun →
inferno	1–13	-0.04	23%	25 Jun →
ancient	16–13	-0.01	21%	25 Jun →
anubis	13–5	0.06	20%	24 Jun →
dust2	13–9	0.04	29%	24 Jun →
dust2	13–3	0.05	16%	24 Jun →
mirage	16–14	-0.02	25%	24 Jun →
ancient	13–9	0.01	14%	23 Jun →
anubis	13–7	0.02	19%	23 Jun →