Dom5 — CS2 Stats

EE76561198008313652[U:1:48047924]Steam profile ↗✓ No bans

3,016Tracked matches37%Win rate2020Tracked since

CSDB Rating4.0 DevelopingSupport

CSDB Leaderboard#47507 of 251249 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

22,542Peak Premier in tracked matches

34Days played since 2025-12-29

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

Aim50

Positioning46

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateLLLWLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −6.3pp headshot accuracy · +47ms 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

1–4 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 11%
Avg reaction 503ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 12%
Avg reaction 551ms

Last 20

7–13 · 35% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 527ms

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 (+2.5 against its own average).

Aim5.0

Utility6.5

Positioning4.6

Opening Duels0.7

Clutch4.4

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 Twistzz 71% 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

Counter-strafing. Only 63% 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

Aim5.0

Positioning4.6

Utility6.5

Mechanics3.0

Opening Duels0.9

Win Impact0.6

Composite 4.0/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time545ms−57ms

first ⅓ avg 602ms → last ⅓ avg 545ms

Headshot accuracy14.5%+0.2%

first ⅓ avg 14.3% → last ⅓ avg 14.5%

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

0.20Best match rating · 13–7 · inferno, 28 Feb →

40%Best headshot accuracy · 3–13 · inferno, 12 Sept →

398msFastest reaction time · 6–13 · inferno, 13 Sept →

13–0Biggest win · inferno, 15 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L3Current streak

6–10In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 42% over 84

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	84	35–49	42%	0.01
nuke	A	5	3–2	60%	0.01
mirage	—	3	2–1	67%	0.01
overpass	—	2	1–1	50%	0.01
anubis	—	2	0–2	0%	-0.04
cache	—	1	1–0	100%	0.05
train	—	1	0–1	0%	-0.10
ancient	—	1	0–1	0%	-0.04
dust2	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 84). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

845Matches

55%Win rate

1.08Avg K/D

83.8ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	112	66%	1.23	17.4
Anubis	62	48%	1.22	17.8
Ancient	34	32%	1.08	15.3
Nuke	32	59%	1.14	16.5
Mirage	23	43%	0.99	14.6
Overpass	14	50%	1.27	16.4
Vertigo	12	50%	0.96	12.5
Train	11	55%	1.04	15.9

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.

14.3%Headshot accuracy

31.5%Accuracy (enemy spotted)

37.4%Spray accuracy

63.4%Counter-strafing

10.7°Preaim

531msReaction time

31.5%T opening success

35.8%CT opening success

0.47Enemies flashed / flash

8.9%Flash assists

13.41HE damage / grenade

11.74Flashes / 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.

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 14.272% — 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 0.4695 — below the 0.5 mark we flag
Grenade Lineups →
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 31.4947% — below the 40% mark we flag

Spend your practice time on Inferno

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

42% win rate across 84 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–10	-0.08	25%	6 Oct →
inferno	7–13	0.08	12%	6 Oct →
inferno	5–13	0.02	6%	6 Oct →
inferno	13–6	0.03	7%	3 Oct →
inferno	8–13	0.03	7%	3 Oct →
cache	13–3	0.05	24%	3 Oct →
nuke	13–11	-0.01	12%	3 Oct →
inferno	11–13	0.08	13%	3 Oct →
nuke	0–6	-0.08	7%	2 Oct →
inferno	13–4	-0.04	8%	2 Oct →
inferno	4–13	-0.04	17%	2 Oct →
inferno	7–13	-0.03	21%	17 Sept →
inferno	13–5	-0.03	13%	17 Sept →
inferno	4–11	-0.02	19%	17 Sept →
inferno	13–6	-0.02	8%	17 Sept →
inferno	8–13	0.03	16%	17 Sept →
inferno	13–10	0.02	16%	17 Sept →
inferno	6–13	-0.02	24%	13 Sept →
inferno	10–13	-0.00	6%	13 Sept →
inferno	3–13	-0.01	40%	12 Sept →
inferno	10–13	0.05	11%	12 Sept →
train	7–13	-0.10	16%	12 Sept →
inferno	13–1	0.07	10%	6 Sept →
inferno	8–13	0.07	14%	6 Sept →
overpass	13–3	0.04	20%	5 Sept →
inferno	13–9	0.04	6%	5 Sept →
inferno	11–13	0.04	16%	5 Sept →
inferno	4–13	-0.03	19%	5 Sept →
inferno	11–13	-0.03	22%	16 Aug →
inferno	13–9	-0.06	7%	16 Aug →
inferno	13–10	0.01	13%	16 Aug →
inferno	13–3	0.10	25%	22 Jul →
inferno	0–5	-0.07	0%	22 Jul →
inferno	9–13	-0.01	5%	22 Jul →
inferno	13–11	0.07	10%	21 Jul →
ancient	11–13	-0.04	17%	24 Apr →
inferno	0–13	0.00	17%	24 Apr →
inferno	13–2	0.08	14%	24 Apr →
inferno	4–13	-0.05	9%	24 Apr →
inferno	13–9	-0.02	27%	24 Apr →
inferno	5–13	-0.10	3%	24 Apr →
nuke	13–8	0.07	20%	23 Apr →
mirage	13–9	0.01	20%	23 Apr →
inferno	13–7	0.00	13%	23 Apr →
inferno	12–12	0.03	6%	19 Apr →
inferno	12–12	-0.06	12%	19 Apr →
inferno	13–10	-0.01	18%	19 Apr →
inferno	13–3	0.07	14%	19 Apr →
dust2	13–10	-0.04	24%	8 Apr →
anubis	6–13	-0.04	11%	8 Apr →
inferno	13–4	0.05	19%	8 Apr →
inferno	13–8	0.02	17%	5 Apr →
inferno	11–13	-0.04	17%	5 Apr →
mirage	2–13	-0.03	13%	1 Apr →
inferno	4–13	-0.01	19%	1 Apr →
inferno	12–12	0.04	23%	28 Mar →
inferno	1–13	-0.06	22%	28 Mar →
inferno	7–13	-0.02	13%	24 Mar →
inferno	13–3	-0.02	8%	21 Mar →
inferno	8–13	-0.06	9%	18 Mar →
inferno	8–13	0.01	12%	18 Mar →
inferno	7–13	-0.05	25%	17 Mar →
inferno	13–10	0.02	12%	16 Mar →
inferno	16–14	-0.05	14%	16 Mar →
anubis	15–15	-0.04	8%	14 Mar →
inferno	13–8	-0.07	19%	14 Mar →
inferno	13–8	0.05	24%	14 Mar →
nuke	4–13	-0.00	5%	14 Mar →
inferno	6–4	-0.04	0%	14 Mar →
inferno	7–13	0.06	21%	13 Mar →
inferno	3–13	-0.02	17%	13 Mar →
inferno	1–13	0.02	11%	13 Mar →
inferno	6–0	0.05	5%	13 Mar →
inferno	12–12	0.01	16%	13 Mar →
nuke	13–9	0.07	9%	8 Mar →
inferno	5–13	-0.06	13%	8 Mar →
inferno	7–13	-0.06	11%	7 Mar →
inferno	10–13	-0.02	11%	7 Mar →
inferno	6–13	0.04	17%	7 Mar →
inferno	13–7	-0.01	7%	7 Mar →
inferno	13–11	-0.03	17%	7 Mar →
inferno	7–13	0.01	14%	2 Mar →
inferno	13–7	0.20	21%	28 Feb →
inferno	13–10	0.02	12%	28 Feb →
inferno	13–3	0.03	24%	26 Feb →
inferno	11–13	-0.01	9%	15 Feb →
inferno	4–4	0.02	16%	15 Feb →
inferno	13–0	0.09	33%	15 Feb →
inferno	11–13	-0.00	13%	15 Feb →
inferno	4–13	0.03	6%	23 Jan →
inferno	3–3	0.07	13%	23 Jan →
inferno	11–13	0.07	10%	23 Jan →
inferno	13–5	0.04	12%	23 Jan →
inferno	0–13	-0.04	25%	23 Jan →
inferno	13–11	0.02	15%	6 Jan →
inferno	13–3	-0.01	13%	6 Jan →
mirage	13–9	0.04	19%	29 Dec →
inferno	13–5	0.08	15%	29 Dec →
inferno	9–13	0.02	22%	29 Dec →
overpass	9–13	-0.03	17%	29 Dec →