Remskav1ce — CS2 Stats

DK76561197987688429[U:1:27422701]Steam profile ↗✓ No bans

2,692Tracked matches53%Win rate2020Tracked since

CSDB Rating6.3 SolidSupport

CSDB Leaderboard#107463 of 259678 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,399 -434 15 May – 26 Jul · 5 days played

19,503Peak Premier in tracked matches

69Days played since 2024-05-15

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

Aim71

Positioning60

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLLWWLWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −37ms 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

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 17%
Avg reaction 564ms

Last 10

5–5 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 17%
Avg reaction 567ms

Last 20

11–9 · 55% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 585ms

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 (+1.9 against its own average).

Aim7.1

Utility7.5

Positioning6.0

Opening Duels4.1

Clutch4.6

Strong CT-side openerEffective flashesHigh utility contribution

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 ZywOo 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 54% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim7.1

Positioning6.0

Utility7.5

Mechanics5.9

Opening Duels3.2

Win Impact6.1

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 0.03 → last ⅓ avg 0.01

Reaction time585ms−97ms

first ⅓ avg 682ms → last ⅓ avg 585ms

Headshot accuracy17.5%−5.1%

first ⅓ avg 22.7% → last ⅓ avg 17.5%

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

0.19Best match rating · 13–3 · dust2, 15 May →

42%Best headshot accuracy · 13–7 · dust2, 4 Jun →

430msFastest reaction time · 22–18 · dust2, 20 Apr →

13–3Biggest win · overpass, 26 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L3Current streak

8–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

dust2Best map · 71% over 14overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	21	10–11	48%	0.01
ancient	B	15	7–8	47%	0.01
dust2	S	14	10–4	71%	0.05
vertigo	A	11	6–5	55%	0.02
anubis	A	9	5–4	56%	0.02
inferno	A	8	5–3	63%	-0.00
train	S	7	5–2	71%	0.03
overpass	C	5	2–3	40%	0.00
mirage	A	5	3–2	60%	0.05
assembly	—	2	1–1	50%	-0.11
memento	—	2	0–2	0%	-0.05
whistle	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,911Matches

50%Win rate

1.39Avg K/D

88.3ADR

39%Headshot %

Clutches & streaks

43%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	152	56%	1.23	19.1
Ancient	148	50%	1.10	16.8
Dust2	110	49%	1.23	19.3
Mirage	87	41%	1.32	19.7
Anubis	86	41%	1.18	18.5
Vertigo	72	53%	1.17	18.3
Inferno	63	52%	0.98	16.0
Train	44	57%	1.21	17.2

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.

17.8%Headshot accuracy

38.1%Accuracy (enemy spotted)

45.2%Spray accuracy

76.8%Counter-strafing

12.3°Preaim

588msReaction time

31.7%T opening success

54.1%CT opening success

0.70Enemies flashed / flash

8.9%Flash assists

5.58HE damage / grenade

5.64Flashes / 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 12.25° — above the 12° mark we flag
Aim Training →

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	8–13	-0.06	10%	29 Aug →
inferno	10–13	-0.02	24%	26 Aug →
nuke	7–13	0.01	15%	26 Aug →
nuke	13–7	0.06	24%	20 Aug →
nuke	13–4	0.04	10%	20 Aug →
overpass	11–13	0.03	14%	14 Aug →
ancient	13–11	-0.04	28%	9 Aug →
overpass	5–13	-0.06	8%	9 Aug →
ancient	13–10	0.05	14%	7 Aug →
inferno	16–14	-0.00	21%	6 Aug →
nuke	4–13	-0.06	13%	4 Aug →
overpass	13–4	0.06	23%	4 Aug →
nuke	16–19	0.03	13%	25 Jul →
ancient	6–13	-0.03	11%	24 Jul →
nuke	13–6	-0.03	10%	24 Jul →
inferno	8–13	-0.03	17%	21 Jul →
nuke	13–5	0.04	12%	4 Jul →
train	13–6	0.09	24%	26 Jun →
overpass	13–3	0.02	17%	26 Jun →
inferno	13–8	-0.00	13%	20 Jun →
overpass	3–13	-0.04	16%	6 Jun →
dust2	13–10	0.07	22%	29 May →
nuke	13–7	0.04	16%	28 May →
ancient	3–13	-0.03	16%	28 May →
train	8–13	0.01	20%	23 May →
nuke	16–14	0.04	31%	21 May →
ancient	13–3	0.08	20%	19 May →
anubis	13–8	0.04	23%	19 May →
nuke	12–16	0.11	27%	19 May →
nuke	5–13	-0.04	11%	19 May →
inferno	9–13	-0.03	11%	19 May →
ancient	13–8	0.09	26%	6 May →
dust2	8–13	-0.00	22%	6 May →
train	13–8	0.09	15%	3 May →
nuke	8–13	-0.10	15%	2 May →
dust2	22–18	0.01	10%	20 Apr →
train	19–15	0.05	20%	16 Apr →
nuke	13–4	-0.04	15%	8 Apr →
nuke	10–13	-0.04	19%	30 Mar →
anubis	10–13	-0.01	20%	29 Jan →
ancient	14–16	0.03	14%	28 Jan →
ancient	5–13	-0.06	11%	25 Jan →
ancient	11–13	-0.01	16%	20 Jan →
inferno	13–9	0.06	19%	9 Jan →
anubis	13–9	0.00	14%	3 Jan →
anubis	13–16	-0.01	8%	2 Jan →
vertigo	13–7	0.02	19%	29 Dec →
train	9–13	-0.05	25%	27 Dec →
nuke	15–19	-0.03	13%	21 Dec →
inferno	13–7	0.01	14%	21 Dec →
nuke	5–13	-0.03	18%	18 Dec →
mirage	13–8	0.12	26%	17 Dec →
mirage	13–10	0.11	31%	15 Dec →
whistle	4–9	-0.08	33%	12 Dec →
vertigo	10–13	-0.01	19%	4 Dec →
nuke	13–11	0.04	22%	4 Dec →
train	13–6	-0.01	33%	4 Dec →
train	13–11	0.03	27%	4 Dec →
nuke	9–13	0.01	25%	8 Nov →
dust2	13–10	0.09	29%	5 Nov →
vertigo	9–13	0.02	21%	31 Oct →
vertigo	13–6	-0.02	29%	26 Oct →
dust2	14–16	0.01	23%	11 Oct →
mirage	10–13	-0.01	31%	8 Oct →
vertigo	13–9	-0.03	16%	28 Sept →
ancient	9–13	0.05	23%	21 Sept →
anubis	13–10	0.01	17%	21 Sept →
dust2	13–8	0.05	36%	19 Sept →
nuke	13–10	0.07	13%	7 Sept →
dust2	16–19	-0.05	22%	21 Aug →
anubis	17–19	0.02	11%	21 Aug →
vertigo	17–19	0.04	19%	15 Aug →
ancient	13–6	0.14	23%	14 Aug →
ancient	11–13	-0.02	19%	14 Aug →
ancient	13–6	0.01	24%	13 Aug →
nuke	8–13	0.01	17%	13 Aug →
anubis	13–8	0.11	21%	13 Aug →
nuke	13–6	0.03	19%	13 Aug →
mirage	13–11	-0.00	22%	30 Jul →
dust2	16–14	0.06	32%	28 Jul →
vertigo	5–13	-0.04	13%	26 Jul →
anubis	13–10	0.03	29%	18 Jul →
dust2	13–10	0.08	30%	18 Jul →
vertigo	5–9	0.05	26%	6 Jul →
inferno	9–2	-0.01	29%	6 Jul →
assembly	9–6	0.03	26%	6 Jul →
memento	8–8	-0.01	20%	6 Jul →
memento	6–9	-0.09	20%	28 Jun →
assembly	0–9	-0.25	11%	28 Jun →
vertigo	13–6	0.05	23%	11 Jun →
dust2	13–7	0.04	30%	11 Jun →
dust2	13–4	0.04	18%	8 Jun →
dust2	13–7	0.03	42%	4 Jun →
vertigo	16–13	0.03	20%	29 May →
dust2	5–13	0.03	31%	24 May →
vertigo	13–9	0.10	15%	24 May →
mirage	10–13	0.02	19%	24 May →
ancient	16–14	0.01	21%	22 May →
anubis	8–13	0.02	24%	15 May →
dust2	13–3	0.19	24%	15 May →