aizen — CS2 Stats

JP76561199121291488[U:1:1161025760]Steam profile ↗✓ No bans

952Tracked matches67%Win rate2023Tracked since

3,081Hours in CS56Hrs last 2 wks

CSDB Rating7.8 StrongPositional Player

Premier CS Rating22,709Top 25% of 212,133 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#46886 of 259137 tracked

FaceitLevel 10 · 1,990 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,709 → 22,709

0Faceit ELO · 1,990 → 1,990

+90Tracked matches · now 952

+13.3ppWin rate · 53.3% → 66.7%

Rating over time

Premier CS Rating: 22,709 +0 21 Sept – 26 Sept · 2 days played

22,709Peak Premier in tracked matches

1,990Highest Faceit ELO seen on CSDB

41Days played since 2026-06-27

Faceit ELO

At peak — 1,990
Next: Level 10 at 2,001 — 11 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-26
Level 8 first seen 2026-09-26

Premier CS Rating

At peak — 22,709
Next: Red band at 25,000 — 2,291 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-26
Purple band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	Level 10 median
Headshot rate	48.0%	50.9%
Shot accuracy	5.8%	13.7%
Kill/death ratio	0.81	1.09
Match win rate	37.2%	48.4%

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Performance scores

Aim91

Positioning70

Utility53

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateLWWWWLWLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · +60ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 16%
Avg reaction 581ms

Last 10

7–3 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 550ms

Last 20

14–6 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 520ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim9.1

Utility5.3

Positioning7.0

Opening Duels5.3

Clutch3.6

Sharp aimerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower 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.

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

Positioning7.0

Utility5.3

Mechanics8.2

Opening Duels5.3

Win Impact10.0

Composite 7.8/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time517ms−15ms

first ⅓ avg 532ms → last ⅓ avg 517ms

Headshot accuracy22.4%−2.1%

first ⅓ avg 24.4% → last ⅓ avg 22.4%

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.

Personal bests

0.11Best match rating · 13–4 · anubis, 1 Oct →

50%Best headshot accuracy · 11–13 · dust2, 16 Oct →

320msFastest reaction time · 13–8 · dust2, 19 Oct →

13–2Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

9–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 68% over 22overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	23	11–12	48%	0.01
anubis	S	22	15–7	68%	0.03
dust2	A	18	11–7	61%	0.02
ancient	A	14	8–6	57%	0.02
mirage	B	13	6–7	46%	0.00
overpass	C	5	2–3	40%	-0.01
nuke	—	4	4–0	100%	0.02
inferno	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,688Lifetime kills

0.81K/D

8,250Matches

37.2%Match win rate

48.0%Headshot %

5.8%Shot accuracy

15,351MVPs

1,958Hours (in match)

2,652Bombs planted

2,087Bombs defused

Most-used weapons

AK-4730,436

AWP17,635

M4A4 / M4A1-S14,708

Desert Eagle5,968

P2000 / USP-S4,464

Knife2,934

Glock-182,635

Molotov2,632

Galil AR1,671

SSG 081,370

Lifetime map wins

6,737dust2

5,940inferno

3,847nuke

3,059vertigo

1,347train

816safehouse

500shorttrain

344lake

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

Faceit stats

Combat

1,471Matches

51%Win rate

1.21Avg K/D

84.3ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	300	49%	1.22	17.1
Mirage	248	52%	1.13	16.9
Ancient	237	50%	1.18	18.0
Anubis	206	55%	1.29	18.3
Overpass	136	57%	1.26	18.0
Inferno	112	44%	1.13	17.1
Nuke	110	44%	1.19	17.5
Cache	78	54%	1.35	18.9

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.

21.5%Headshot accuracy

39.0%Accuracy (enemy spotted)

39.0%Spray accuracy

86.8%Counter-strafing

7.9°Preaim

507msReaction time

49.0%T opening success

53.7%CT opening success

0.62Enemies flashed / flash

11.6%Flash assists

9.28HE damage / grenade

4.84Flashes / match

Recommended for you

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	14–16	0.08	12%	31 Oct →
cache	13–3	-0.00	17%	31 Oct →
anubis	13–6	-0.02	22%	31 Oct →
anubis	13–11	0.03	21%	29 Oct →
anubis	13–7	0.08	10%	29 Oct →
cache	11–13	0.01	19%	28 Oct →
dust2	16–14	0.02	24%	28 Oct →
cache	4–13	-0.03	33%	28 Oct →
dust2	13–11	0.02	33%	28 Oct →
anubis	19–16	0.07	24%	27 Oct →
cache	11–13	0.02	12%	26 Oct →
anubis	13–10	-0.00	19%	25 Oct →
cache	10–13	-0.02	19%	25 Oct →
dust2	13–9	-0.02	31%	24 Oct →
anubis	13–9	0.04	7%	24 Oct →
cache	13–6	0.02	26%	24 Oct →
dust2	6–13	0.09	23%	24 Oct →
anubis	16–12	-0.01	18%	24 Oct →
dust2	13–7	0.07	18%	24 Oct →
ancient	13–7	0.07	27%	24 Oct →
ancient	13–7	0.07	19%	23 Oct →
mirage	5–13	-0.04	14%	22 Oct →
cache	3–13	-0.03	43%	22 Oct →
nuke	13–7	-0.00	39%	22 Oct →
ancient	13–6	0.04	24%	22 Oct →
dust2	16–19	0.01	24%	21 Oct →
overpass	11–13	0.01	13%	20 Oct →
anubis	13–10	-0.02	16%	19 Oct →
cache	13–6	0.05	28%	19 Oct →
dust2	13–8	0.03	19%	19 Oct →
cache	13–6	0.10	35%	19 Oct →
overpass	11–13	-0.04	14%	19 Oct →
cache	8–13	-0.00	34%	19 Oct →
anubis	11–13	-0.00	19%	19 Oct →
cache	13–10	-0.00	26%	18 Oct →
ancient	2–13	0.03	22%	17 Oct →
cache	9–13	-0.02	32%	16 Oct →
dust2	11–13	0.03	50%	16 Oct →
overpass	5–13	-0.05	25%	16 Oct →
anubis	23–25	-0.02	15%	16 Oct →
overpass	13–6	0.05	38%	16 Oct →
dust2	2–13	-0.08	20%	15 Oct →
cache	13–4	0.03	28%	15 Oct →
ancient	13–6	0.06	19%	15 Oct →
cache	16–12	0.10	28%	15 Oct →
anubis	11–13	0.04	35%	15 Oct →
cache	19–15	0.04	17%	15 Oct →
cache	13–7	0.03	20%	14 Oct →
ancient	13–9	-0.03	32%	14 Oct →
dust2	13–10	0.05	35%	14 Oct →
mirage	7–13	-0.02	31%	14 Oct →
anubis	16–12	0.03	25%	14 Oct →
anubis	11–13	0.00	17%	13 Oct →
cache	6–13	-0.03	32%	13 Oct →
anubis	9–13	-0.04	33%	13 Oct →
cache	11–13	0.01	19%	13 Oct →
anubis	13–8	0.06	18%	13 Oct →
ancient	8–13	-0.03	6%	13 Oct →
nuke	13–10	0.01	26%	13 Oct →
cache	13–10	-0.05	14%	13 Oct →
overpass	13–4	-0.03	20%	13 Oct →
anubis	13–9	0.03	30%	13 Oct →
mirage	8–13	-0.03	14%	12 Oct →
nuke	13–11	0.01	23%	11 Oct →
anubis	9–13	0.08	16%	11 Oct →
dust2	13–6	0.06	15%	8 Oct →
anubis	13–5	0.00	16%	8 Oct →
dust2	13–11	0.03	25%	2 Oct →
dust2	7–13	-0.05	33%	2 Oct →
ancient	13–9	0.01	16%	2 Oct →
anubis	13–4	0.11	25%	1 Oct →
mirage	7–13	0.04	26%	30 Sept →
dust2	13–11	0.00	16%	30 Sept →
anubis	13–10	0.02	17%	23 Sept →
dust2	16–14	0.04	21%	23 Sept →
ancient	7–13	-0.10	21%	23 Sept →
dust2	13–2	0.08	33%	23 Sept →
anubis	13–6	-0.01	11%	23 Sept →
nuke	13–9	0.05	27%	21 Sept →
ancient	7–13	0.00	15%	16 Sept →
cache	13–7	0.00	22%	5 Sept →
mirage	13–6	0.00	26%	5 Sept →
mirage	13–8	0.03	25%	29 Aug →
mirage	9–13	0.05	21%	29 Aug →
dust2	6–13	-0.03	19%	29 Aug →
inferno	16–14	0.04	32%	23 Aug →
cache	6–13	-0.06	32%	21 Aug →
cache	9–13	-0.02	30%	21 Aug →
mirage	13–11	-0.02	28%	17 Aug →
ancient	7–13	0.06	30%	16 Aug →
ancient	8–13	0.00	26%	12 Aug →
mirage	13–9	0.04	37%	11 Aug →
dust2	9–13	0.07	19%	10 Aug →
mirage	11–13	-0.04	22%	28 Jul →
mirage	13–7	-0.04	22%	13 Jul →
ancient	13–8	-0.01	15%	11 Jul →
cache	14–16	0.04	33%	11 Jul →
ancient	13–2	0.09	24%	9 Jul →
mirage	13–6	0.00	28%	9 Jul →
mirage	6–13	0.04	29%	27 Jun →