[KDS]Soeholt — CS2 Stats

DK76561199559725256[U:1:1599459528]Steam profile ↗✓ No bans

2,171Tracked matches54%Win rate2023Tracked since

CSDB Rating4.8 DevelopingPositional Player

Premier CS Rating13,213Blue band · top ~37.9% of ranked players (population est.)

CSDB Leaderboard#164635 of 258813 tracked

FaceitLevel 2 · 711 ELOTop 97.9% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (5 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: 13,213 +4,380 22 Jul – 25 Oct · 29 days played

14,204Peak Premier in tracked matches

711Highest Faceit ELO seen on CSDB

33Days played since 2026-07-13

Faceit ELO

At peak — 711
Next: Level 3 at 751 — 40 to go
Reached: Level 2

Premier CS Rating

952 below peak (14,165)
+1,031 over 30 days · improving
+4,241 over 90 days
Next: Purple band at 15,000 — 1,787 to go
Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

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Performance scores

Aim48

Positioning60

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLLWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · −33ms reaction

Win rate up 20pp 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 -0.04
Avg headshot accuracy 12%
Avg reaction 480ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 12%
Avg reaction 518ms

Last 20

10–10 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 12%
Avg reaction 534ms

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 (+1.9 against its own average).

Aim4.8

Utility2.9

Positioning6.0

Opening Duels4.2

Clutch3.2

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 77% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim 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

T openings. 63% T opening-duel success — entries that actually open the round.

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

Aim4.8

Positioning6.0

Utility2.9

Mechanics4.8

Opening Duels6.4

Win Impact6.2

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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−67ms

first ⅓ avg 609ms → last ⅓ avg 542ms

Headshot accuracy11.8%−0.3%

first ⅓ avg 12.0% → last ⅓ avg 11.8%

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 · 13–3 · nuke, 15 Jul →

25%Best headshot accuracy · 13–10 · inferno, 8 Sept →

391msFastest reaction time · 8–13 · ancient, 9 Sept →

13–1Biggest win · ancient, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L3Current streak

7–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 74% over 23anubisWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	23	17–6	74%	0.02
mirage	S	15	10–5	67%	0.01
ancient	C	14	6–8	43%	0.01
anubis	D	13	2–11	15%	-0.01
cache	B	13	6–7	46%	-0.01
inferno	B	12	6–6	50%	0.02
dust2	D	10	3–7	30%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches

35%Win rate

0.74Avg K/D

73.8ADR

36%Headshot %

Clutches & streaks

36%1v1 clutch win

10%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	20%	0.68	12.4
Nuke	4	0%	0.59	10.5
Inferno	4	50%	0.96	15.0
Ancient	1	100%	0.92	11.0
Anubis	1	100%	0.70	16.0
Dust2	1	0%	0.64	14.0
Overpass	1	100%	0.78	14.0

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.

11.9%Headshot accuracy

33.3%Accuracy (enemy spotted)

34.9%Spray accuracy

71.5%Counter-strafing

12.1°Preaim

550msReaction time

63.2%T opening success

48.2%CT opening success

0.27Enemies flashed / flash

2.9%Flash assists

10.50HE damage / grenade

1.02Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.133° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.9343% — below the 15% mark we flag
Aim Training →
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 0.2719 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	-0.05	10%	25 Oct →
inferno	10–13	0.00	9%	21 Oct →
ancient	4–13	-0.09	19%	21 Oct →
mirage	13–10	0.01	6%	21 Oct →
cache	6–13	-0.07	14%	20 Oct →
nuke	13–8	-0.00	15%	19 Oct →
mirage	13–7	0.06	11%	19 Oct →
mirage	13–8	0.03	12%	19 Oct →
nuke	13–5	0.06	18%	19 Oct →
nuke	13–2	0.08	6%	19 Oct →
inferno	9–13	-0.04	17%	5 Oct →
nuke	16–14	-0.06	14%	5 Oct →
mirage	13–2	0.05	9%	5 Oct →
mirage	13–9	-0.02	13%	27 Sept →
anubis	9–13	0.01	11%	27 Sept →
ancient	2–13	0.00	8%	26 Sept →
nuke	11–13	-0.02	7%	26 Sept →
cache	13–8	0.03	10%	26 Sept →
nuke	11–13	0.05	15%	26 Sept →
dust2	8–13	-0.00	11%	26 Sept →
ancient	13–1	0.06	16%	26 Sept →
nuke	15–15	-0.00	18%	26 Sept →
nuke	13–5	-0.01	15%	25 Sept →
nuke	13–10	-0.01	9%	25 Sept →
dust2	9–13	-0.07	5%	25 Sept →
mirage	15–15	0.05	12%	25 Sept →
ancient	13–10	0.06	15%	21 Sept →
ancient	10–13	0.05	11%	21 Sept →
dust2	14–16	0.02	10%	12 Sept →
cache	13–9	0.06	10%	12 Sept →
dust2	13–9	0.05	12%	9 Sept →
ancient	8–13	-0.00	9%	9 Sept →
anubis	2–13	-0.05	10%	8 Sept →
inferno	13–10	-0.02	25%	8 Sept →
cache	6–13	-0.07	18%	8 Sept →
nuke	13–10	-0.01	13%	8 Sept →
nuke	13–5	-0.03	2%	7 Sept →
dust2	5–13	-0.05	22%	7 Sept →
mirage	5–13	-0.01	16%	7 Sept →
ancient	13–9	-0.01	8%	7 Sept →
nuke	9–13	0.01	20%	28 Aug →
anubis	11–13	-0.02	12%	27 Aug →
dust2	15–15	-0.01	12%	27 Aug →
anubis	10–13	-0.06	9%	25 Aug →
mirage	13–8	0.01	16%	25 Aug →
mirage	13–8	0.01	8%	25 Aug →
anubis	7–13	0.00	5%	25 Aug →
cache	8–13	-0.03	12%	23 Aug →
ancient	9–13	-0.07	6%	23 Aug →
ancient	16–14	0.06	13%	11 Aug →
cache	3–13	-0.06	19%	11 Aug →
anubis	15–15	0.00	18%	10 Aug →
cache	13–7	0.11	9%	10 Aug →
nuke	13–4	0.04	10%	10 Aug →
mirage	13–7	-0.08	20%	9 Aug →
nuke	13–6	-0.01	15%	9 Aug →
inferno	13–8	0.13	7%	6 Aug →
nuke	4–13	-0.09	11%	6 Aug →
nuke	13–6	0.07	14%	1 Aug →
inferno	9–13	0.04	3%	1 Aug →
ancient	13–9	-0.02	10%	1 Aug →
anubis	4–13	-0.07	14%	31 Jul →
nuke	13–10	0.11	13%	31 Jul →
anubis	13–8	0.08	9%	31 Jul →
mirage	9–13	-0.01	14%	31 Jul →
cache	13–6	-0.02	11%	31 Jul →
nuke	13–11	0.02	8%	31 Jul →
cache	13–7	0.00	5%	30 Jul →
cache	8–13	-0.04	8%	30 Jul →
mirage	8–13	-0.05	24%	30 Jul →
inferno	13–11	0.02	12%	29 Jul →
cache	13–8	-0.03	6%	28 Jul →
nuke	13–10	-0.04	11%	28 Jul →
inferno	13–16	0.04	10%	28 Jul →
inferno	10–13	0.06	6%	26 Jul →
mirage	8–13	-0.01	12%	26 Jul →
anubis	6–13	-0.02	22%	26 Jul →
inferno	13–11	-0.00	9%	26 Jul →
anubis	5–13	-0.02	14%	26 Jul →
anubis	9–13	-0.01	22%	26 Jul →
nuke	13–10	0.08	14%	26 Jul →
dust2	16–13	0.01	16%	23 Jul →
dust2	13–5	-0.00	12%	22 Jul →
dust2	14–16	-0.06	13%	22 Jul →
mirage	13–9	0.08	9%	22 Jul →
ancient	8–13	-0.02	5%	20 Jul →
cache	5–13	-0.01	12%	20 Jul →
dust2	10–13	0.03	7%	18 Jul →
ancient	5–13	-0.00	12%	18 Jul →
nuke	6–13	0.01	12%	18 Jul →
inferno	13–7	0.11	14%	18 Jul →
mirage	13–4	0.03	13%	18 Jul →
nuke	13–11	-0.00	17%	18 Jul →
ancient	9–13	0.02	10%	18 Jul →
inferno	13–11	-0.08	13%	15 Jul →
nuke	13–3	0.16	5%	15 Jul →
ancient	13–5	0.07	21%	15 Jul →
cache	14–16	-0.04	6%	13 Jul →
inferno	9–13	-0.03	9%	13 Jul →
anubis	13–8	0.02	15%	13 Jul →