SenZeJ — CS2 Stats

FI76561198131723663[U:1:171457935]Steam profile ↗✓ No bans

3,064Tracked matches67%Win rate2020Tracked since

7,805Hours in CS3Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim88

Positioning56

Utility73

0–100 skill scores via Leetify.

Recent form

HOT59–40–1Last 10059%Win rateWLWWWWWWWW

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

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

Aim8.8

Aggression7.6

Utility7.3

Positioning5.6

Opening Duels3.1

Clutch3.0

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: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 57% on CT to 28% 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

Aim8.8

Positioning5.6

Utility7.3

Mechanics7.8

Opening Duels3.4

Win Impact10.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03

first ⅓ avg -0.00 → last ⅓ avg 0.03

Reaction time559ms−24ms

first ⅓ avg 582ms → last ⅓ avg 559ms

Headshot accuracy22.2%−6.4%

first ⅓ avg 28.5% → last ⅓ avg 22.2%

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

0.12Best rating — ancient 16–12

13–1Biggest win — nuke

9Longest win streak

9–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 78% over 9ancientWeakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	21	13–8	62%	0.02
ancient	C	19	8–11	42%	0.02
nuke	S	18	13–5	72%	0.01
anubis	S	12	8–4	67%	0.01
overpass	B	10	5–5	50%	0.01
cache	S	9	7–2	78%	0.02
mirage	—	4	3–1	75%	0.00
dust2	—	3	1–2	33%	-0.03
train	—	3	1–2	33%	0.01
vertigo	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,717Lifetime kills

0.97K/D

8,829Matches

49.7%Match win rate · Top 25% of tracked players

53.5%Headshot % · Top 25% of tracked players

15.9%Shot accuracy · Top 25% of tracked players

25,523MVPs

4,719Hours (in match)

7,985Bombs planted

3,023Bombs defused

Most-used weapons

AK-4764,581

M4A4 / M4A1-S34,927

Desert Eagle30,166

AWP25,779

P2000 / USP-S12,933

Glock-186,985

P2505,369

Knife3,840

SSG 082,977

Tec-92,963

Lifetime map wins

23,119inferno

13,453nuke

6,898train

5,389dust2

2,414cbble

1,808vertigo

182office

53lake

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

Faceit stats

Combat

3,198Matches

52%Win rate

1.12Avg K/D

81.7ADR

52%Headshot %

Clutches & streaks

35%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	247	55%	1.15	16.4
Nuke	193	59%	1.15	16.8
Anubis	156	48%	1.08	16.1
Inferno	143	59%	1.29	17.6
Overpass	95	57%	1.09	17.4
Mirage	34	47%	1.00	15.7
Train	28	61%	1.02	15.3
Vertigo	21	57%	1.13	17.9

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.

22.0%Headshot accuracy

39.9%Accuracy (enemy spotted)

44.2%Spray accuracy

85.0%Counter-strafing

10.0°Preaim

554msReaction time

28.0%T opening success

57.1%CT opening success

0.62Enemies flashed / flash

20.9%Flash assists

10.70HE damage / grenade

10.15Flashes / 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 27.9985% — 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.

42% win rate across 19 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
cache	13–2	0.05	15%	26 Aug →
ancient	8–13	0.00	13%	26 Aug →
cache	16–12	0.04	19%	22 Aug →
anubis	13–10	-0.01	21%	16 Aug →
inferno	13–4	0.00	20%	14 Aug →
inferno	13–8	0.01	21%	24 Jul →
ancient	13–8	-0.01	21%	24 Jul →
nuke	13–11	0.05	31%	24 Jul →
anubis	13–9	-0.02	26%	5 Jul →
overpass	13–11	-0.00	15%	5 Jul →
nuke	13–3	0.11	24%	5 Jul →
overpass	8–13	0.02	18%	4 Jul →
ancient	13–5	0.10	22%	4 Jul →
nuke	13–11	0.04	17%	4 Jul →
inferno	13–10	0.01	24%	4 Jul →
ancient	7–13	0.04	16%	4 Jul →
ancient	10–13	0.07	15%	4 Jul →
inferno	13–2	0.05	9%	4 Jul →
overpass	13–7	0.07	36%	4 Jul →
inferno	13–11	0.05	21%	3 Jul →
anubis	11–13	-0.01	32%	3 Jul →
ancient	9–13	0.03	18%	3 Jul →
nuke	13–6	0.01	18%	3 Jul →
nuke	13–7	0.03	30%	2 Jul →
inferno	6–13	-0.04	24%	2 Jul →
ancient	11–13	0.01	31%	2 Jul →
inferno	13–10	0.09	18%	2 Jul →
ancient	13–11	0.03	34%	2 Jul →
nuke	10–13	0.09	26%	2 Jul →
inferno	2–13	-0.06	17%	2 Jul →
ancient	16–12	0.12	30%	1 Jul →
nuke	16–13	-0.01	38%	27 May →
nuke	10–13	-0.07	12%	18 May →
ancient	13–16	-0.07	28%	18 May →
mirage	13–7	0.03	18%	18 May →
inferno	13–16	0.01	17%	17 May →
anubis	13–11	-0.05	30%	17 May →
nuke	11–13	0.02	37%	17 May →
nuke	16–13	-0.02	32%	13 May →
mirage	9–13	0.01	27%	13 May →
anubis	1–13	0.05	21%	12 May →
ancient	20–22	-0.04	16%	12 May →
ancient	12–16	-0.01	24%	9 May →
inferno	11–13	-0.04	22%	7 May →
inferno	13–10	0.04	25%	7 May →
inferno	13–8	-0.01	21%	6 May →
inferno	13–9	0.07	28%	6 May →
inferno	10–13	-0.01	13%	6 May →
overpass	13–7	-0.01	14%	6 May →
inferno	13–9	0.08	25%	6 May →
inferno	13–3	0.07	23%	6 May →
overpass	13–6	0.08	35%	5 May →
cache	13–3	0.06	30%	4 May →
anubis	14–16	-0.04	22%	2 May →
nuke	13–1	0.03	28%	2 May →
ancient	13–8	0.02	19%	29 Apr →
overpass	0–10	-0.05	13%	29 Apr →
anubis	13–3	0.01	32%	29 Apr →
inferno	11–13	0.03	23%	29 Apr →
cache	10–13	-0.03	22%	29 Apr →
cache	13–9	0.03	18%	29 Apr →
cache	4–7	-0.03	50%	28 Apr →
cache	13–7	0.05	35%	28 Apr →
ancient	11–13	-0.03	20%	27 Apr →
anubis	13–8	0.02	31%	27 Apr →
ancient	8–13	-0.01	18%	26 Apr →
dust2	8–13	0.00	27%	26 Apr →
dust2	8–13	-0.05	44%	26 Apr →
nuke	13–10	-0.02	27%	26 Apr →
ancient	13–9	0.05	22%	26 Apr →
train	13–2	0.06	30%	26 Apr →
vertigo	12–12	-0.08	50%	25 Apr →
ancient	13–9	0.03	15%	25 Apr →
nuke	13–6	-0.07	20%	25 Apr →
dust2	13–9	-0.04	57%	25 Apr →
anubis	11–0	0.05	0%	25 Apr →
mirage	13–4	-0.03	17%	25 Apr →
overpass	11–13	-0.03	26%	25 Apr →
inferno	6–13	-0.06	45%	25 Apr →
anubis	13–8	0.00	21%	25 Apr →
train	2–7	-0.01	71%	25 Apr →
nuke	16–13	-0.01	25%	24 Apr →
ancient	4–13	-0.01	29%	24 Apr →
nuke	13–9	0.05	40%	24 Apr →
inferno	13–9	0.02	32%	24 Apr →
mirage	13–11	-0.01	28%	24 Apr →
nuke	13–4	0.10	29%	24 Apr →
overpass	9–13	0.00	28%	24 Apr →
inferno	8–13	0.01	26%	23 Apr →
overpass	9–13	0.04	28%	23 Apr →
overpass	13–4	-0.01	15%	23 Apr →
anubis	9–13	0.03	21%	23 Apr →
ancient	16–13	-0.01	25%	23 Apr →
nuke	2–13	-0.08	10%	23 Apr →
inferno	16–14	0.05	21%	22 Apr →
cache	16–12	0.03	36%	22 Apr →
cache	13–7	-0.03	18%	22 Apr →
nuke	9–13	0.01	13%	22 Apr →
anubis	13–11	0.05	40%	21 Apr →
train	8–13	-0.04	35%	21 Apr →