KAISER — CS2 Stats

PROBounty HuntersArgentinaIGLSettings & gear profile →

AR76561198127570649[U:1:167304921]Steam profile ↗✓ No bans

1,474Tracked matches48%Win rate2020Tracked since

CSDB Rating6.5 SolidSupport

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 1,474

+3.5ppWin rate · 44.8% → 48.3%

Rating over time

32Days played since 2026-07-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim88

Positioning59

Utility79

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateWLLLLLWWLT

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −4.8pp headshot accuracy · −55ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 417ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 413ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 23%
Avg reaction 440ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim8.8

Utility7.9

Positioning5.9

Opening Duels2.9

Clutch3.8

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 ZywOo 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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.

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 31% 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

Aim8.8

Positioning5.9

Utility7.9

Mechanics5.1

Opening Duels3.1

Win Impact4.4

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time435ms+0ms

first ⅓ avg 435ms → last ⅓ avg 435ms

Headshot accuracy22.6%+1.4%

first ⅓ avg 21.1% → last ⅓ avg 22.6%

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

0.18Best match rating · 13–6 · cache, 5 Sept →

53%Best headshot accuracy · 10–13 · dust2, 7 Sept →

297msFastest reaction time · 13–9 · mirage, 31 Oct →

13–1Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

11–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 60% over 20ancientWeakest map · 32% over 19

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	24	11–13	46%	0.01
mirage	A	20	12–8	60%	0.03
ancient	D	19	6–13	32%	-0.01
nuke	A	18	10–8	56%	0.01
dust2	A	12	7–5	58%	0.01
anubis	A	7	4–3	57%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,169Matches

56%Win rate

1.34Avg K/D

76.2ADR

40%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	177	63%	1.41	16.8
Ancient	116	64%	1.51	15.8
Nuke	100	56%	1.41	15.0
Dust2	71	61%	1.34	14.6
Anubis	71	58%	1.51	17.6
Inferno	13	46%	1.21	13.0
Vertigo	9	56%	2.48	15.4
Cache	6	33%	1.08	14.0

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

Inventory

$1,340Inventory value11ItemsFull inventory breakdown →

$1,023

$200

$69

$11

Skill profile

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

22.4%Headshot accuracy

39.0%Accuracy (enemy spotted)

39.6%Spray accuracy

73.1%Counter-strafing

9.4°Preaim

426msReaction time

31.4%T opening success

53.6%CT opening success

0.74Enemies flashed / flash

12.3%Flash assists

8.20HE damage / grenade

29.11Flashes / 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 31.3972% — 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.

32% 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
mirage	13–9	0.07	14%	31 Oct →
ancient	3–13	-0.08	31%	31 Oct →
cache	6–13	-0.05	14%	31 Oct →
ancient	11–13	-0.05	14%	29 Oct →
dust2	6–13	0.02	9%	29 Oct →
cache	10–13	0.01	24%	29 Oct →
dust2	13–5	0.04	27%	29 Oct →
ancient	13–11	-0.02	15%	29 Oct →
nuke	8–13	-0.01	33%	12 Oct →
cache	2–2	-0.01	25%	12 Oct →
ancient	13–9	0.02	18%	12 Oct →
cache	4–11	-0.05	28%	12 Oct →
ancient	13–10	0.04	23%	11 Oct →
mirage	13–5	0.10	23%	11 Oct →
ancient	20–22	0.04	27%	10 Oct →
nuke	2–13	-0.06	36%	10 Oct →
nuke	16–14	0.01	24%	8 Oct →
dust2	13–6	-0.01	36%	8 Oct →
anubis	13–9	0.02	18%	7 Oct →
nuke	13–5	0.04	23%	7 Oct →
ancient	17–19	-0.03	21%	4 Oct →
mirage	1–13	-0.07	22%	4 Oct →
nuke	16–13	0.01	15%	3 Oct →
dust2	13–9	-0.01	24%	3 Oct →
nuke	8–13	-0.03	22%	27 Sept →
ancient	8–13	-0.03	19%	27 Sept →
cache	13–7	-0.00	25%	27 Sept →
nuke	7–13	0.04	15%	26 Sept →
mirage	9–13	-0.02	21%	26 Sept →
anubis	13–8	0.04	38%	25 Sept →
nuke	13–4	0.07	21%	25 Sept →
anubis	6–13	-0.02	28%	25 Sept →
ancient	9–13	-0.05	13%	25 Sept →
mirage	13–11	0.01	16%	25 Sept →
cache	7–13	0.03	15%	24 Sept →
dust2	3–13	-0.09	31%	24 Sept →
mirage	6–13	-0.00	13%	23 Sept →
ancient	11–13	0.06	40%	23 Sept →
dust2	13–1	0.10	50%	23 Sept →
ancient	13–5	-0.00	6%	23 Sept →
mirage	13–7	0.11	23%	23 Sept →
cache	13–10	0.00	33%	22 Sept →
mirage	16–19	0.04	23%	20 Sept →
cache	14–16	-0.03	17%	20 Sept →
cache	16–14	0.00	13%	19 Sept →
anubis	13–9	0.06	21%	19 Sept →
nuke	13–5	0.01	26%	18 Sept →
ancient	13–11	0.05	44%	18 Sept →
cache	10–13	0.03	42%	18 Sept →
anubis	9–13	-0.00	27%	17 Sept →
mirage	13–7	0.08	12%	17 Sept →
cache	13–10	0.08	35%	17 Sept →
mirage	6–13	-0.02	15%	17 Sept →
cache	13–8	-0.01	25%	17 Sept →
nuke	4–13	-0.04	33%	17 Sept →
cache	16–13	-0.01	23%	17 Sept →
anubis	16–14	0.03	6%	17 Sept →
dust2	10–13	0.03	53%	7 Sept →
nuke	2–13	-0.07	35%	7 Sept →
ancient	13–2	-0.03	15%	7 Sept →
cache	4–13	-0.06	23%	7 Sept →
mirage	13–11	0.03	29%	7 Sept →
nuke	2–13	-0.04	38%	6 Sept →
ancient	4–13	-0.05	14%	6 Sept →
mirage	10–13	0.00	35%	6 Sept →
nuke	13–11	0.01	29%	6 Sept →
dust2	13–8	0.03	24%	6 Sept →
dust2	13–9	0.06	16%	5 Sept →
cache	13–8	0.01	18%	5 Sept →
dust2	10–13	-0.02	23%	5 Sept →
cache	6–13	0.02	22%	5 Sept →
mirage	13–4	-0.03	11%	5 Sept →
dust2	2–13	-0.08	19%	5 Sept →
cache	13–6	0.18	33%	5 Sept →
mirage	13–8	0.00	19%	3 Sept →
cache	13–4	0.05	19%	3 Sept →
ancient	11–13	-0.01	15%	27 Aug →
mirage	4–13	0.06	27%	27 Aug →
cache	2–9	0.01	7%	26 Aug →
cache	6–5	0.00	23%	26 Aug →
ancient	10–13	0.01	25%	26 Aug →
cache	13–5	0.06	26%	25 Aug →
mirage	13–6	0.10	24%	25 Aug →
cache	7–13	-0.03	20%	30 Jul →
dust2	13–6	0.05	29%	30 Jul →
nuke	4–13	0.00	19%	30 Jul →
nuke	13–5	-0.00	12%	28 Jul →
cache	10–13	0.05	26%	28 Jul →
ancient	10–13	0.05	29%	28 Jul →
mirage	13–10	0.07	15%	16 Jul →
nuke	13–5	0.03	8%	16 Jul →
nuke	13–11	0.08	34%	15 Jul →
ancient	7–13	0.01	19%	15 Jul →
mirage	16–14	0.01	25%	15 Jul →
nuke	13–8	0.07	30%	11 Jul →
mirage	7–13	0.02	20%	11 Jul →
ancient	11–13	-0.02	22%	11 Jul →
cache	9–13	-0.01	17%	10 Jul →
mirage	16–12	0.02	32%	10 Jul →
anubis	11–13	0.04	15%	10 Jul →