𝐆𝐨𝐝 — CS2 Stats

76561199090195973[U:1:1129930245]Steam profile ↗✓ No bans

1,523Tracked matches44%Win rate2020Tracked since

CSDB Rating5.2 DevelopingPositional Player

CSDB Leaderboard#161702 of 259519 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,610 +924 4 Dec – 28 Jun · 12 days played

14,812Peak Premier in tracked matches

50Days played since 2025-12-04

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

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Performance scores

Aim58

Positioning59

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLWWWLWWLTW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · −25ms reaction

Win rate up 50pp 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 26%
Avg reaction 616ms

Last 10

6–3–1 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 593ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.03
Avg headshot accuracy 21%
Avg reaction 606ms

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 (+0.9 against its own average).

Aim5.8

Utility4.2

Positioning5.9

Opening Duels4.9

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 s1mple 81% 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

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

Areas to improve

T-side openings. Opening success drops from 61% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms 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

Aim5.8

Positioning5.9

Utility4.2

Mechanics6.2

Opening Duels4.4

Win Impact3.1

Composite 5.2/10 (Developing), 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-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time635ms−31ms

first ⅓ avg 666ms → last ⅓ avg 635ms

Headshot accuracy21.2%−3.6%

first ⅓ avg 24.8% → last ⅓ avg 21.2%

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

0.31Best match rating · 9–1 · inferno, 30 May →

80%Best headshot accuracy · 3–9 · inferno, 21 Apr →

453msFastest reaction time · 9–4 · inferno, 4 Apr →

13–0Biggest win · nuke, 22 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak

7–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	12–10	55%	-0.04
dust2	C	20	7–13	35%	-0.03
nuke	A	18	11–7	61%	-0.02
cache	C	13	5–8	38%	-0.03
mirage	A	9	5–4	56%	-0.05
overpass	S	5	4–1	80%	-0.04
office	—	4	2–2	50%	0.00
ancient	—	4	2–2	50%	-0.04
anubis	—	3	2–1	67%	-0.01
vertigo	—	1	0–1	0%	-0.10
palacio	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.0%Headshot accuracy

28.8%Accuracy (enemy spotted)

35.7%Spray accuracy

78.1%Counter-strafing

9.8°Preaim

641msReaction time

34.4%T opening success

60.8%CT opening success

0.65Enemies flashed / flash

6.1%Flash assists

7.30HE damage / grenade

7.11Flashes / 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 34.381% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.07	60%	15 Aug →
dust2	16–14	0.04	23%	28 Jul →
dust2	13–2	-0.02	10%	28 Jul →
inferno	13–6	0.01	31%	28 Jul →
cache	3–13	-0.03	5%	27 Jul →
cache	13–5	0.01	12%	27 Jul →
nuke	13–6	-0.03	24%	26 Jul →
inferno	8–13	-0.04	12%	26 Jul →
dust2	12–12	0.00	17%	26 Jul →
inferno	13–10	-0.04	20%	24 Jul →
cache	7–13	-0.01	16%	24 Jul →
cache	1–13	-0.08	16%	23 Jul →
cache	11–13	-0.02	22%	22 Jul →
anubis	11–13	-0.06	35%	22 Jul →
dust2	6–13	-0.05	25%	20 Jul →
inferno	12–16	-0.07	23%	20 Jul →
nuke	13–7	-0.06	26%	20 Jul →
dust2	12–12	-0.00	18%	17 Jul →
dust2	8–13	0.01	18%	17 Jul →
dust2	10–13	-0.06	17%	17 Jul →
mirage	13–10	-0.07	21%	16 Jul →
dust2	10–13	-0.08	11%	7 Jul →
dust2	13–3	-0.05	29%	5 Jul →
dust2	9–13	-0.02	16%	5 Jul →
dust2	12–12	-0.05	35%	5 Jul →
inferno	8–8	-0.03	39%	5 Jul →
inferno	9–7	-0.02	14%	5 Jul →
nuke	3–9	-0.10	18%	5 Jul →
nuke	13–11	-0.04	10%	28 Jun →
inferno	13–6	-0.03	24%	28 Jun →
dust2	13–10	0.00	19%	24 Jun →
nuke	13–16	-0.06	21%	9 Jun →
cache	1–13	-0.05	14%	31 May →
cache	5–1	-0.06	17%	31 May →
cache	13–9	-0.07	13%	31 May →
inferno	9–1	0.31	37%	30 May →
vertigo	4–9	-0.10	13%	22 May →
inferno	0–9	-0.26	40%	22 May →
inferno	2–9	-0.19	50%	22 May →
cache	3–13	-0.01	12%	22 May →
nuke	3–9	-0.08	6%	22 May →
office	11–13	0.04	18%	21 May →
cache	4–13	-0.07	13%	19 May →
cache	13–7	-0.06	10%	9 May →
cache	12–12	0.01	18%	9 May →
cache	13–1	0.05	15%	2 May →
inferno	3–9	-0.18	80%	21 Apr →
inferno	9–4	-0.10	40%	21 Apr →
overpass	13–6	0.01	19%	10 Apr →
nuke	9–6	0.03	22%	10 Apr →
inferno	6–9	-0.02	18%	5 Apr →
inferno	16–13	-0.02	32%	5 Apr →
inferno	9–4	0.14	25%	4 Apr →
mirage	12–16	-0.03	9%	30 Mar →
ancient	13–7	-0.04	8%	24 Mar →
dust2	13–11	-0.06	10%	24 Mar →
dust2	4–13	-0.01	30%	24 Mar →
ancient	13–6	-0.00	29%	24 Mar →
inferno	8–13	-0.08	21%	23 Mar →
nuke	10–13	-0.02	33%	22 Mar →
mirage	13–6	-0.08	24%	22 Mar →
nuke	13–0	0.08	29%	22 Mar →
dust2	7–13	-0.08	21%	16 Mar →
ancient	10–13	-0.10	17%	15 Mar →
anubis	13–5	-0.02	21%	14 Mar →
dust2	13–6	-0.04	24%	14 Mar →
nuke	13–8	-0.01	60%	19 Feb →
mirage	13–9	-0.01	13%	19 Feb →
nuke	9–13	-0.01	27%	9 Feb →
mirage	3–13	-0.09	33%	9 Feb →
nuke	13–7	0.01	18%	3 Feb →
inferno	13–9	-0.08	19%	2 Feb →
ancient	6–13	-0.00	32%	2 Feb →
mirage	13–8	-0.07	28%	27 Jan →
inferno	15–15	-0.07	30%	27 Jan →
nuke	10–13	0.03	25%	22 Jan →
dust2	7–13	-0.03	27%	22 Jan →
anubis	13–1	0.05	48%	20 Jan →
palacio	13–11	-0.00	21%	20 Jan →
inferno	9–5	-0.16	30%	16 Jan →
office	13–4	-0.03	15%	16 Jan →
inferno	8–8	-0.06	32%	16 Jan →
overpass	13–10	-0.10	20%	8 Jan →
dust2	7–13	-0.01	16%	8 Jan →
overpass	13–1	-0.03	21%	5 Jan →
inferno	13–11	-0.02	20%	5 Jan →
inferno	16–12	0.03	31%	5 Jan →
mirage	8–13	-0.04	24%	3 Jan →
overpass	13–11	-0.02	34%	26 Dec →
dust2	5–13	-0.10	24%	25 Dec →
office	7–13	-0.06	21%	19 Dec →
nuke	13–7	-0.06	25%	19 Dec →
nuke	13–6	-0.01	33%	19 Dec →
nuke	13–5	0.03	18%	19 Dec →
nuke	13–1	-0.06	26%	19 Dec →
overpass	7–13	-0.06	17%	12 Dec →
dust2	13–2	0.01	25%	12 Dec →
nuke	5–13	-0.04	19%	12 Dec →
office	13–5	0.06	31%	7 Dec →
mirage	13–8	-0.01	17%	4 Dec →