Mainmast — CS2 Stats

76561197986761409[U:1:26495681]Steam profile ↗✓ No bans

3,327Tracked matches50%Win rate2020Tracked since

6,215Hours in CS24Hrs last 2 wks

CSDB Rating6.3 SolidAll-Rounder

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+58Tracked matches · now 3,327

−7.7ppWin rate · 57.7% → 50.0%

Rating over time

40Days played since 2026-08-23

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

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	57	—	—
Win rate	53%	—	—
K/D	1.00	—	—
Headshot %	32%	—	—

Measured 11 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 5 median	Level 6 median	vs Level 6
Headshot rate	32.9%	43.7%	44.8%	11.9% short
Shot accuracy	11.8%	12.0%	12.4%	0.7% short
Kill/death ratio	1.14	1.02	1.03	above
Match win rate	51.6%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning67

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateWWWWLWWTLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.4pp headshot accuracy · −30ms reaction

Win rate +10pp 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 0.06
Avg headshot accuracy 11%
Avg reaction 419ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 13%
Avg reaction 458ms

Last 20

11–7–2 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 14%
Avg reaction 473ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.9

Utility7.0

Positioning6.7

Opening Duels5.1

Strong CT-side openerEffective flashes

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 jL 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.89 enemies blinded per flash — utility that consistently lands.

Areas to improve

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.9

Positioning6.7

Utility7.0

Mechanics4.3

Opening Duels6.9

Win Impact5.0

Composite 6.3/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time470ms−11ms

first ⅓ avg 481ms → last ⅓ avg 470ms

Headshot accuracy15.7%+1.3%

first ⅓ avg 14.5% → last ⅓ avg 15.7%

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 · 13–1 · dust2, 13 Sept →

42%Best headshot accuracy · 6–13 · dust2, 29 Sept →

336msFastest reaction time · 12–12 · dust2, 9 Sept →

13–1Biggest win · dust2, 25 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W4Current streak

8–7In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 3 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	97	49–48	51%	0.01
nuke	—	2	2–0	100%	0.02
anubis	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Lifetime stats

113,184Lifetime kills

1.14K/D · Top 25% of Level 5 players

5,512Matches

51.6%Match win rate · Top 10% of Level 5 players

32.9%Headshot %

11.8%Shot accuracy

13,568MVPs

2,562Hours (in match)

7,791Bombs planted

1,710Bombs defused

Most-used weapons

AWP46,265

AK-4711,294

SSG 089,550

M4A4 / M4A1-S8,982

P2507,717

P2000 / USP-S5,788

Glock-183,695

Desert Eagle2,901

Galil AR2,185

MP72,085

Lifetime map wins

62,391dust2

390nuke

368inferno

139train

63vertigo

25cbble

19office

17lake

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

Faceit stats

Combat

6Matches

83%Win rate

0.94Avg K/D

—ADR

46%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	1	100%	1.19	19.0
Mirage	1	0%	0.47	9.0
Ancient	1	100%	1.00	16.0

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.

16.0%Headshot accuracy

29.7%Accuracy (enemy spotted)

31.6%Spray accuracy

69.5%Counter-strafing

6.6°Preaim

460msReaction time

54.7%T opening success

60.6%CT opening success

0.89Enemies flashed / flash

4.9%Flash assists

9.26HE damage / grenade

13.73Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.07	14%	12 Oct →
dust2	13–4	0.12	14%	12 Oct →
dust2	13–6	-0.03	5%	11 Oct →
dust2	13–10	0.01	13%	11 Oct →
dust2	11–13	0.10	7%	11 Oct →
dust2	13–11	0.02	15%	11 Oct →
dust2	13–6	0.05	19%	11 Oct →
dust2	12–12	0.03	18%	11 Oct →
dust2	5–13	-0.00	8%	11 Oct →
dust2	11–13	-0.04	16%	10 Oct →
dust2	7–2	-0.04	0%	10 Oct →
dust2	13–7	0.08	10%	10 Oct →
dust2	11–13	-0.01	7%	10 Oct →
dust2	11–13	0.01	21%	10 Oct →
dust2	13–9	0.07	16%	10 Oct →
dust2	13–8	0.05	38%	10 Oct →
dust2	13–3	-0.05	28%	10 Oct →
dust2	6–13	-0.01	18%	9 Oct →
dust2	12–12	-0.02	4%	7 Oct →
dust2	4–13	0.03	11%	6 Oct →
dust2	13–8	0.07	12%	6 Oct →
dust2	13–7	0.04	14%	4 Oct →
dust2	13–11	-0.00	21%	4 Oct →
dust2	6–13	-0.04	13%	4 Oct →
dust2	8–13	-0.00	18%	3 Oct →
dust2	2–13	-0.07	21%	3 Oct →
dust2	9–13	-0.06	29%	2 Oct →
dust2	8–13	-0.03	13%	30 Sept →
dust2	0–13	-0.11	8%	30 Sept →
dust2	6–13	-0.01	42%	29 Sept →
dust2	13–10	-0.02	16%	28 Sept →
dust2	13–8	0.10	12%	27 Sept →
dust2	12–12	-0.06	17%	26 Sept →
dust2	4–13	-0.03	13%	26 Sept →
dust2	7–13	-0.01	26%	26 Sept →
dust2	13–1	0.03	10%	25 Sept →
dust2	13–11	-0.09	38%	25 Sept →
dust2	13–4	-0.04	14%	25 Sept →
dust2	13–10	0.00	22%	25 Sept →
dust2	7–13	-0.07	10%	24 Sept →
dust2	12–12	-0.06	14%	24 Sept →
dust2	11–13	-0.02	17%	21 Sept →
dust2	13–10	0.02	6%	20 Sept →
dust2	13–11	0.07	13%	20 Sept →
dust2	5–13	-0.08	20%	19 Sept →
dust2	13–6	0.09	17%	19 Sept →
dust2	8–13	-0.06	6%	17 Sept →
dust2	13–10	-0.03	5%	15 Sept →
dust2	13–11	0.03	13%	15 Sept →
dust2	10–13	-0.02	21%	13 Sept →
anubis	5–13	-0.07	28%	13 Sept →
dust2	10–13	-0.00	12%	13 Sept →
dust2	13–1	0.16	31%	13 Sept →
dust2	13–9	-0.00	27%	13 Sept →
dust2	12–12	-0.03	8%	13 Sept →
dust2	4–13	-0.01	10%	13 Sept →
dust2	13–8	-0.04	9%	12 Sept →
dust2	13–7	0.03	19%	11 Sept →
dust2	9–13	-0.01	13%	10 Sept →
dust2	13–6	0.09	11%	9 Sept →
dust2	12–12	0.02	19%	9 Sept →
dust2	12–12	-0.03	13%	9 Sept →
dust2	13–8	0.06	25%	8 Sept →
dust2	7–13	-0.05	8%	8 Sept →
dust2	8–13	0.00	6%	8 Sept →
dust2	9–13	-0.03	17%	8 Sept →
dust2	10–13	-0.04	13%	7 Sept →
dust2	8–13	-0.03	31%	7 Sept →
dust2	13–7	-0.02	7%	7 Sept →
dust2	5–13	0.06	13%	7 Sept →
dust2	12–12	0.01	27%	7 Sept →
dust2	9–13	-0.03	13%	6 Sept →
dust2	13–6	0.08	10%	6 Sept →
dust2	13–7	0.00	21%	6 Sept →
dust2	13–7	-0.04	21%	5 Sept →
dust2	10–13	0.02	10%	5 Sept →
dust2	13–10	-0.04	14%	4 Sept →
dust2	13–11	0.01	8%	3 Sept →
dust2	4–2	0.01	14%	2 Sept →
dust2	13–6	0.08	20%	2 Sept →
dust2	6–13	-0.04	15%	1 Sept →
nuke	9–1	0.07	6%	30 Aug →
dust2	13–3	-0.00	18%	29 Aug →
dust2	13–5	0.14	12%	29 Aug →
dust2	13–11	0.04	15%	29 Aug →
dust2	13–7	0.02	9%	29 Aug →
dust2	12–12	0.09	17%	29 Aug →
dust2	13–8	0.05	15%	28 Aug →
dust2	11–13	0.04	16%	28 Aug →
dust2	13–7	-0.07	13%	27 Aug →
dust2	13–2	0.10	5%	27 Aug →
dust2	10–4	-0.02	8%	27 Aug →
dust2	13–3	-0.03	17%	27 Aug →
dust2	13–10	-0.06	10%	26 Aug →
nuke	13–6	-0.03	17%	23 Aug →
dust2	10–13	-0.06	30%	23 Aug →
dust2	2–4	0.11	10%	23 Aug →
dust2	6–13	-0.03	13%	23 Aug →
dust2	9–13	0.01	9%	23 Aug →
dust2	5–13	0.00	12%	23 Aug →