MrSoWa 👾 — CS2 Stats

SE76561198015671649[U:1:55405921]Steam profile ↗✓ No bans

1,896Tracked matches55%Win rate2020Tracked since

6,187Hours in CS44Hrs last 2 wks

CSDB Rating5.8 SolidSupport

Premier CS Rating18,031Purple band · top ~16.3% of ranked players (population est.)

CSDB Leaderboard#111811 of 259008 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 18,031 -974 9 Sept – 30 Oct · 27 days played

20,994Peak Premier in tracked matches

1,318Highest Faceit ELO seen on CSDB

29Days played since 2026-09-09

Premier CS Rating

2,331 below peak (20,362)
-586 over 30 days · declining
Next: Pink band at 20,000 — 1,969 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-09
Blue band first seen 2026-09-09

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 7 among CSDB-tracked players (n=14,595), 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 7 median	Level 8 median	vs Level 8
Headshot rate	54.0%	45.7%	46.8%	above
Shot accuracy	13.4%	12.7%	13.0%	above
Kill/death ratio	0.82	1.05	1.06	0.24 short
Match win rate	39.5%	45.7%	46.3%	6.8% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim64

Positioning59

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateTWWLWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −5.6pp headshot accuracy · +20ms reaction

Win rate down 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

3–1–1 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 556ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 564ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 554ms

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 (+1.2 against its own average).

Aim6.4

Utility6.5

Positioning5.9

Opening Duels3.0

Clutch5.8

Strong 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.

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 NiKo 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 36% 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

Aim6.4

Positioning5.9

Utility6.5

Mechanics4.8

Opening Duels3.6

Win Impact6.7

Composite 5.8/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time545ms−13ms

first ⅓ avg 558ms → last ⅓ avg 545ms

Headshot accuracy19.8%+3.6%

first ⅓ avg 16.2% → last ⅓ avg 19.8%

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

0.15Best match rating · 9–2 · inferno, 27 Sept →

43%Best headshot accuracy · 13–7 · inferno, 12 Oct →

367msFastest reaction time · 3–9 · inferno, 8 Oct →

13–1Biggest win · dust2, 28 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 64% over 14ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	10–15	40%	-0.02
inferno	B	24	11–13	46%	-0.00
cache	A	14	9–5	64%	0.01
nuke	B	10	5–5	50%	-0.01
mirage	B	10	5–5	50%	0.00
ancient	C	8	3–5	38%	-0.01
anubis	B	8	4–4	50%	-0.05
overpass	—	1	0–1	0%	-0.18

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

211,743Lifetime kills

0.82K/D

7,411Matches

39.5%Match win rate

54.0%Headshot % · Top 25% of Level 7 players

13.4%Shot accuracy · Top 50% of Level 7 players

16,062MVPs

11,643Hours (in match)

8,343Bombs planted

1,718Bombs defused

Most-used weapons

AK-4773,546

M4A4 / M4A1-S37,532

P2000 / USP-S17,877

Desert Eagle16,577

AWP12,318

P2508,896

Glock-187,605

SSG 084,160

MP93,272

MAC-103,269

Lifetime map wins

17,432inferno

11,911dust2

5,204nuke

1,322cbble

1,110train

800vertigo

116lake

86office

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

Faceit stats

Combat

1,032Matches

51%Win rate

1.02Avg K/D

76.1ADR

46%Headshot %

Clutches & streaks

49%1v1 clutch win

28%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	24	58%	1.18	15.7
Nuke	21	38%	0.94	15.6
Inferno	20	55%	1.00	15.0
Ancient	19	63%	1.11	15.8
Anubis	15	60%	1.04	16.1
Mirage	13	54%	0.86	14.8
Overpass	6	17%	0.80	11.5
Vertigo	1	0%	0.87	13.0

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.

19.7%Headshot accuracy

31.3%Accuracy (enemy spotted)

35.8%Spray accuracy

71.6%Counter-strafing

9.9°Preaim

545msReaction time

36.3%T opening success

52.7%CT opening success

0.58Enemies flashed / flash

5.1%Flash assists

9.98HE damage / grenade

12.40Flashes / 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 36.2637% — 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.

38% win rate across 8 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
nuke	15–15	-0.07	20%	30 Oct →
inferno	13–8	-0.04	12%	30 Oct →
nuke	13–11	-0.01	26%	30 Oct →
ancient	11–13	-0.04	10%	30 Oct →
cache	13–11	0.03	13%	30 Oct →
anubis	4–13	-0.05	13%	30 Oct →
inferno	13–9	-0.01	13%	30 Oct →
nuke	8–13	-0.04	12%	29 Oct →
inferno	11–13	-0.02	26%	29 Oct →
mirage	9–13	0.03	22%	29 Oct →
mirage	13–2	-0.03	15%	28 Oct →
dust2	13–8	0.06	29%	28 Oct →
cache	4–13	-0.00	30%	28 Oct →
inferno	13–6	0.09	21%	28 Oct →
dust2	10–13	0.05	29%	28 Oct →
dust2	13–1	0.02	34%	28 Oct →
dust2	8–13	-0.01	24%	28 Oct →
anubis	13–9	-0.05	16%	28 Oct →
inferno	5–13	-0.02	10%	27 Oct →
nuke	13–7	-0.01	14%	27 Oct →
inferno	7–13	-0.02	17%	26 Oct →
dust2	13–7	-0.00	21%	26 Oct →
dust2	13–7	-0.01	19%	26 Oct →
nuke	13–10	0.01	16%	26 Oct →
anubis	8–13	-0.07	7%	23 Oct →
inferno	9–13	-0.03	19%	23 Oct →
ancient	16–12	0.01	26%	22 Oct →
cache	13–8	-0.01	23%	21 Oct →
mirage	13–9	0.01	25%	21 Oct →
cache	8–13	-0.02	33%	21 Oct →
inferno	16–14	0.03	22%	21 Oct →
anubis	13–5	-0.02	18%	20 Oct →
inferno	15–15	-0.03	21%	20 Oct →
dust2	13–9	-0.01	20%	20 Oct →
anubis	13–11	-0.03	8%	19 Oct →
dust2	9–13	-0.03	24%	19 Oct →
mirage	11–13	0.03	21%	19 Oct →
inferno	11–13	-0.00	22%	19 Oct →
cache	13–3	0.02	29%	19 Oct →
cache	7–13	0.02	22%	16 Oct →
inferno	13–11	-0.00	35%	16 Oct →
mirage	8–13	-0.03	6%	15 Oct →
cache	7–13	0.06	31%	15 Oct →
inferno	13–11	0.00	24%	15 Oct →
dust2	13–6	0.01	16%	14 Oct →
cache	13–8	0.09	27%	14 Oct →
ancient	11–13	-0.01	17%	14 Oct →
dust2	8–13	-0.03	19%	14 Oct →
nuke	13–10	0.03	20%	14 Oct →
nuke	8–13	-0.03	13%	13 Oct →
nuke	3–13	-0.08	21%	13 Oct →
dust2	13–10	0.01	30%	13 Oct →
inferno	13–7	0.04	43%	12 Oct →
nuke	6–13	-0.00	18%	12 Oct →
dust2	6–13	-0.04	20%	12 Oct →
dust2	13–7	-0.03	34%	12 Oct →
overpass	3–9	-0.18	0%	12 Oct →
inferno	5–13	-0.02	13%	9 Oct →
inferno	9–13	-0.07	13%	9 Oct →
ancient	13–9	-0.01	8%	9 Oct →
mirage	13–10	0.02	21%	8 Oct →
dust2	7–13	-0.11	20%	8 Oct →
cache	13–10	-0.00	25%	8 Oct →
mirage	13–7	0.06	20%	8 Oct →
inferno	3–9	-0.11	25%	8 Oct →
dust2	13–6	0.01	27%	7 Oct →
dust2	6–13	0.06	18%	7 Oct →
cache	10–13	-0.02	18%	7 Oct →
ancient	9–13	0.04	25%	6 Oct →
dust2	6–13	-0.06	15%	5 Oct →
nuke	13–9	0.07	29%	5 Oct →
inferno	7–0	0.04	23%	5 Oct →
cache	13–3	-0.03	17%	5 Oct →
dust2	13–10	-0.04	16%	5 Oct →
ancient	8–13	-0.05	3%	2 Oct →
mirage	13–2	-0.01	9%	2 Oct →
anubis	9–13	-0.04	8%	1 Oct →
dust2	4–13	-0.08	6%	1 Oct →
cache	13–4	-0.02	21%	1 Oct →
inferno	13–9	0.00	12%	30 Sept →
inferno	13–11	0.02	21%	30 Sept →
cache	13–6	0.01	16%	30 Sept →
dust2	5–13	0.00	16%	30 Sept →
inferno	4–9	0.03	19%	30 Sept →
anubis	16–14	-0.07	13%	29 Sept →
ancient	13–5	0.02	17%	29 Sept →
inferno	8–8	-0.03	24%	29 Sept →
inferno	4–9	-0.00	16%	29 Sept →
dust2	5–13	-0.02	14%	28 Sept →
dust2	8–13	-0.07	21%	28 Sept →
mirage	8–13	-0.06	5%	28 Sept →
inferno	9–2	0.15	29%	27 Sept →
anubis	8–13	-0.07	2%	25 Sept →
ancient	3–13	-0.04	10%	25 Sept →
dust2	2–13	-0.10	20%	24 Sept →
dust2	14–16	-0.04	19%	24 Sept →
inferno	6–13	-0.06	14%	24 Sept →
mirage	8–13	-0.01	15%	23 Sept →
dust2	2–13	-0.05	18%	23 Sept →
cache	13–5	0.06	24%	23 Sept →