KaCSa 🦆 — CS2 Stats

HU76561198045223956[U:1:84958228]Steam profile ↗✓ No bans

4,569Tracked matches63%Win rate2020Tracked since

10,530Hours in CS32Hrs last 2 wks

CSDB Rating6.9 SolidPositional Player

Premier CS Rating22,332Top 50% of 213,211 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

CSDB Leaderboard#52234 of 259897 tracked

FaceitLevel 10 · 2,066 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,332 -616 5 Sept – 15 Oct · 4 days played

22,948Peak Premier in tracked matches

2,105Highest Faceit ELO seen on CSDB

18Days played since 2026-09-05

Faceit ELO

39 below peak (2,105)
Next: 2,500 ELO at 2,500 — 434 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-05
Level 9 first seen 2026-09-05

Premier CS Rating

616 below peak (22,948)
Next: Red band at 25,000 — 2,668 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-05
Purple band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can 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	42.5%	50.9%
Shot accuracy	17.3%	13.7%
Kill/death ratio	0.94	1.09
Match win rate	47.7%	48.4%

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Performance scores

Aim71

Positioning76

Utility38

0–100 skill scores via Leetify.

Recent form

HOT48–52Last 10048%Win rateWWWLWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −3.5pp headshot accuracy · −23ms reaction

Win rate up 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

4–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 531ms

Last 10

8–2 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 13%
Avg reaction 534ms

Last 20

12–8 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 545ms

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 (+2.5 against its own average).

Aim7.1

Utility3.8

Positioning7.6

Opening Duels5.5

Clutch3.6

Limited 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 s1mple 79% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 75% on T to 54% on CT — first contacts on the defending side are being lost.

Reaction time. 555ms 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

Aim7.1

Positioning7.6

Utility3.8

Mechanics5.5

Opening Duels8.0

Win Impact9.4

Composite 6.9/10 (Solid), 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 0.03 → last ⅓ avg 0.02

Reaction time551ms+9ms

first ⅓ avg 542ms → last ⅓ avg 551ms

Headshot accuracy15.6%+1.6%

first ⅓ avg 13.9% → last ⅓ avg 15.6%

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

0.16Best match rating · 13–9 · inferno, 2 Oct →

35%Best headshot accuracy · 10–13 · inferno, 23 Sept →

422msFastest reaction time · 13–9 · ancient, 1 Nov →

13–0Biggest win · inferno, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W3Current streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 62% over 21ancientWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	29	16–13	55%	0.02
cache	A	21	13–8	62%	0.02
dust2	B	17	8–9	47%	0.01
nuke	C	16	6–10	38%	-0.00
ancient	D	15	4–11	27%	0.02
mirage	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

303,451Lifetime kills

0.94K/D

12,656Matches

47.7%Match win rate

42.5%Headshot %

17.3%Shot accuracy · Top 25% of Level 10 players

39,550MVPs

6,149Hours (in match)

3,947Bombs planted

2,214Bombs defused

Most-used weapons

AK-47147,432

M4A4 / M4A1-S80,821

P2000 / USP-S13,262

Glock-189,249

Desert Eagle6,572

MAC-106,114

FAMAS5,655

AWP4,752

P2504,132

Knife4,062

Lifetime map wins

48,967inferno

13,862dust2

6,374nuke

5,365train

4,197cbble

483vertigo

109office

48aztec

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

Faceit stats

Combat

4,843Matches

50%Win rate

1.15Avg K/D

90.8ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	179	61%	1.23	18.5
Ancient	97	42%	1.14	18.3
Nuke	86	45%	1.03	16.6
Dust2	74	38%	0.98	17.3
Cache	60	57%	1.26	19.4
Overpass	42	48%	1.18	18.6
Mirage	12	50%	0.82	13.5
Train	8	25%	1.12	18.8

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.

15.2%Headshot accuracy

37.5%Accuracy (enemy spotted)

40.8%Spray accuracy

74.6%Counter-strafing

10.1°Preaim

555msReaction time

75.5%T opening success

54.3%CT opening success

0.40Enemies flashed / flash

0.3%Flash assists

10.18HE damage / grenade

2.06Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3955 — below the 0.5 mark we flag
Grenade Lineups →

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.

27% win rate across 15 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
inferno	13–5	-0.04	15%	3 Nov →
inferno	13–10	0.02	11%	3 Nov →
inferno	13–5	-0.00	18%	3 Nov →
cache	8–13	-0.01	8%	3 Nov →
nuke	16–13	0.01	11%	3 Nov →
dust2	13–10	0.05	16%	1 Nov →
ancient	13–9	0.06	13%	1 Nov →
cache	13–11	0.06	11%	1 Nov →
cache	13–4	0.04	15%	1 Nov →
dust2	7–13	-0.07	16%	31 Oct →
ancient	11–13	0.03	8%	31 Oct →
cache	4–13	-0.03	10%	31 Oct →
ancient	13–8	0.04	15%	31 Oct →
nuke	4–13	-0.07	14%	31 Oct →
inferno	13–6	0.07	18%	31 Oct →
inferno	13–5	0.03	24%	27 Oct →
dust2	16–13	0.01	22%	27 Oct →
cache	2–13	0.00	20%	27 Oct →
dust2	8–13	-0.02	17%	27 Oct →
inferno	8–13	-0.04	20%	27 Oct →
nuke	13–8	0.04	22%	24 Oct →
cache	13–7	0.07	16%	24 Oct →
inferno	13–9	-0.02	12%	24 Oct →
nuke	9–13	-0.01	15%	24 Oct →
ancient	9–13	0.01	6%	24 Oct →
nuke	13–16	-0.01	9%	24 Oct →
nuke	13–11	0.01	30%	23 Oct →
dust2	13–6	0.09	16%	23 Oct →
ancient	13–7	0.08	16%	23 Oct →
dust2	13–5	0.02	17%	23 Oct →
cache	13–7	0.07	19%	23 Oct →
inferno	13–4	0.02	18%	23 Oct →
ancient	6–13	0.01	14%	22 Oct →
mirage	13–5	-0.04	2%	22 Oct →
dust2	11–13	-0.03	14%	22 Oct →
cache	13–7	-0.01	4%	22 Oct →
nuke	9–13	-0.02	6%	22 Oct →
inferno	14–16	-0.05	15%	19 Oct →
mirage	10–13	-0.03	7%	19 Oct →
nuke	6–13	-0.01	17%	18 Oct →
ancient	10–13	0.00	9%	18 Oct →
inferno	13–3	-0.06	4%	18 Oct →
cache	4–13	-0.01	18%	18 Oct →
inferno	13–3	-0.02	8%	18 Oct →
inferno	9–13	0.05	12%	18 Oct →
inferno	4–13	-0.03	14%	15 Oct →
ancient	9–13	0.03	17%	15 Oct →
cache	16–14	0.00	12%	15 Oct →
dust2	9–13	-0.05	13%	15 Oct →
nuke	13–8	0.01	12%	15 Oct →
cache	4–13	-0.02	11%	14 Oct →
nuke	15–19	0.04	11%	14 Oct →
ancient	13–11	-0.01	8%	14 Oct →
cache	9–13	0.01	20%	14 Oct →
inferno	4–13	0.03	13%	14 Oct →
dust2	9–13	0.00	12%	14 Oct →
ancient	5–13	-0.04	30%	11 Oct →
inferno	10–13	-0.03	16%	11 Oct →
dust2	10–13	0.07	16%	11 Oct →
ancient	9–13	0.01	11%	11 Oct →
dust2	13–11	0.00	20%	11 Oct →
dust2	13–8	0.03	9%	11 Oct →
cache	13–5	0.05	9%	11 Oct →
inferno	13–16	0.06	26%	10 Oct →
cache	13–3	0.05	7%	10 Oct →
cache	13–3	-0.01	14%	10 Oct →
inferno	13–10	0.01	7%	10 Oct →
cache	13–4	0.00	12%	10 Oct →
nuke	4–13	-0.00	18%	10 Oct →
inferno	13–0	0.15	17%	10 Oct →
ancient	17–19	0.05	8%	3 Oct →
inferno	13–7	0.07	13%	3 Oct →
nuke	5–13	-0.01	8%	3 Oct →
inferno	11–13	0.00	7%	3 Oct →
inferno	13–10	0.01	11%	2 Oct →
dust2	13–11	0.03	23%	2 Oct →
ancient	6–13	-0.04	10%	2 Oct →
inferno	13–8	0.04	16%	2 Oct →
dust2	11–13	-0.04	14%	2 Oct →
cache	11–13	0.03	10%	2 Oct →
inferno	13–9	0.16	16%	2 Oct →
nuke	13–3	0.09	4%	2 Oct →
ancient	8–13	-0.00	18%	2 Oct →
dust2	9–13	-0.02	22%	2 Oct →
dust2	16–19	0.01	19%	27 Sept →
cache	11–13	0.01	8%	27 Sept →
nuke	9–13	-0.05	17%	27 Sept →
nuke	16–14	-0.03	8%	27 Sept →
inferno	11–13	0.01	16%	27 Sept →
nuke	3–13	-0.04	11%	27 Sept →
inferno	8–13	-0.04	17%	27 Sept →
inferno	11–13	0.04	13%	26 Sept →
cache	13–10	0.03	10%	26 Sept →
ancient	6–13	0.02	10%	26 Sept →
cache	13–10	0.03	15%	26 Sept →
dust2	13–11	0.05	10%	23 Sept →
inferno	8–13	0.08	17%	23 Sept →
inferno	13–3	0.11	19%	23 Sept →
cache	13–9	0.05	7%	23 Sept →
inferno	10–13	0.05	35%	23 Sept →