RequieM — CS2 Stats

SK76561198240126694[U:1:279860966]Steam profile ↗✓ No bans

1,746Tracked matches62%Win rate2021Tracked since

3,356Hours in CS39Hrs last 2 wks

CSDB Rating5.7 SolidSupport

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

+165Tracked matches · now 1,746

+4.4ppWin rate · 57.1% → 61.5%

Rating over time

22Days played since 2026-08-28

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	33.9%	42.7%	43.8%	9.9% short
Shot accuracy	8.4%	11.2%	12.0%	3.7% short
Kill/death ratio	1.20	0.99	1.02	above
Match win rate	48.1%	43.9%	44.7%	above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim65

Positioning49

Utility64

0–100 skill scores via Leetify.

Recent form

HOT51–39–10Last 10051%Win rateWLWLWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +1.7pp headshot accuracy · +7ms reaction

Win rate up 30pp 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 -0.03
Avg headshot accuracy 9%
Avg reaction 469ms

Last 10

7–3 · 70% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 513ms

Last 20

11–8–1 · 55% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 509ms

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 (+2.3 against its own average).

Aim6.5

Utility6.4

Positioning4.9

Opening Duels0.9

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 NiKo 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.5

Positioning4.9

Utility6.4

Mechanics4.8

Opening Duels2.5

Win Impact8.8

Composite 5.7/10 (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-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time504ms+51ms

first ⅓ avg 453ms → last ⅓ avg 504ms

Headshot accuracy10.8%−0.9%

first ⅓ avg 11.8% → last ⅓ avg 10.8%

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

0.10Best match rating · 13–10 · office, 25 Oct →

23%Best headshot accuracy · 13–10 · office, 4 Oct →

250msFastest reaction time · 0–6 · office, 30 Sept →

13–0Biggest win · office, 31 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

3–8In matches decided by ≤2 rounds

Map breakdown

italyBest map · 57% over 7dust2Weakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
office	A	42	23–19	55%	-0.01
dust2	D	21	6–15	29%	-0.03
italy	A	7	4–3	57%	0.01
mirage	—	4	2–2	50%	-0.02
inferno	—	4	2–2	50%	-0.02
cache	—	4	2–2	50%	-0.04
train	—	4	4–0	100%	0.02
nuke	—	2	1–1	50%	-0.06
anubis	—	2	1–1	50%	-0.00
ancient	—	2	1–1	50%	-0.03
vertigo	—	2	1–1	50%	0.01
rush_001	—	2	1–1	50%	0.01
overpass	—	1	1–0	100%	-0.03
fachwerk	—	1	1–0	100%	0.04
debris	—	1	0–1	0%	-0.01
boulder	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,036Lifetime kills

1.20K/D · Top 25% of Level 4 players

5,994Matches

48.1%Match win rate · Top 25% of Level 4 players

33.9%Headshot %

8.4%Shot accuracy

13,933MVPs

1,902Hours (in match)

3,816Bombs planted

1,412Bombs defused

Most-used weapons

AK-4726,535

M4A4 / M4A1-S17,926

AWP7,347

MAC-106,894

MP96,867

P2000 / USP-S4,820

Desert Eagle4,383

Glock-183,908

P903,338

XM10142,752

Lifetime map wins

13,785dust2

8,780inferno

5,218office

2,854vertigo

1,219train

1,040italy

928nuke

430cbble

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

Faceit stats

Combat

17Matches

59%Win rate

1.56Avg K/D

90.2ADR

37%Headshot %

Clutches & streaks

42%1v1 clutch win

8%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	5	60%	0.93	19.0
Inferno	4	100%	1.85	17.5
Anubis	3	33%	1.76	19.3
Nuke	2	50%	2.78	13.0
Ancient	1	0%	1.20	24.0
Mirage	1	100%	2.00	22.0

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.

11.0%Headshot accuracy

34.9%Accuracy (enemy spotted)

40.3%Spray accuracy

71.5%Counter-strafing

10.0°Preaim

503msReaction time

40.8%T opening success

39.6%CT opening success

0.52Enemies flashed / flash

3.0%Flash assists

9.08HE damage / grenade

14.62Flashes / 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 11.0352% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.6004% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
office	13–6	0.03	11%	1 Nov →
mirage	11–13	-0.03	16%	1 Nov →
dust2	13–7	-0.03	5%	1 Nov →
office	1–13	-0.10	4%	1 Nov →
overpass	13–9	-0.03	9%	1 Nov →
nuke	13–9	-0.08	13%	1 Nov →
fachwerk	13–8	0.04	10%	1 Nov →
office	13–1	0.04	7%	1 Nov →
inferno	13–9	0.00	21%	1 Nov →
dust2	4–13	-0.05	22%	1 Nov →
inferno	13–9	-0.00	9%	1 Nov →
debris	6–9	-0.01	11%	1 Nov →
inferno	10–13	-0.04	11%	31 Oct →
cache	3–13	-0.05	5%	31 Oct →
anubis	13–6	-0.03	12%	31 Oct →
ancient	13–10	-0.02	11%	31 Oct →
train	13–3	0.06	10%	31 Oct →
nuke	2–13	-0.05	10%	31 Oct →
office	12–12	-0.07	10%	31 Oct →
vertigo	4–13	-0.02	14%	31 Oct →
dust2	12–12	0.03	13%	31 Oct →
office	13–0	0.03	12%	31 Oct →
italy	12–12	0.02	11%	31 Oct →
boulder	10–1	0.06	10%	31 Oct →
dust2	11–13	-0.05	10%	31 Oct →
train	13–10	-0.06	14%	30 Oct →
office	13–8	-0.10	10%	30 Oct →
dust2	12–12	-0.04	14%	30 Oct →
office	10–13	-0.07	15%	30 Oct →
dust2	10–13	-0.01	5%	29 Oct →
office	13–8	0.04	5%	29 Oct →
cache	7–13	-0.06	5%	29 Oct →
office	13–7	-0.04	15%	28 Oct →
dust2	13–11	-0.02	10%	28 Oct →
office	9–13	-0.05	18%	28 Oct →
office	13–7	0.03	18%	27 Oct →
office	7–13	-0.01	11%	27 Oct →
italy	4–4	0.01	8%	27 Oct →
ancient	9–13	-0.04	12%	27 Oct →
office	13–10	-0.02	11%	27 Oct →
office	13–2	0.07	10%	26 Oct →
mirage	13–9	0.03	10%	26 Oct →
cache	13–4	-0.06	11%	26 Oct →
dust2	13–5	0.00	10%	26 Oct →
office	13–8	0.03	10%	26 Oct →
office	13–10	0.10	11%	25 Oct →
anubis	11–13	0.03	19%	25 Oct →
dust2	10–13	0.02	18%	25 Oct →
train	13–3	0.03	13%	25 Oct →
italy	13–6	0.02	7%	25 Oct →
vertigo	13–9	0.04	11%	25 Oct →
office	12–12	0.02	16%	25 Oct →
italy	13–9	-0.02	9%	22 Oct →
office	12–12	-0.03	6%	22 Oct →
cache	13–11	0.01	10%	22 Oct →
office	12–12	-0.02	11%	22 Oct →
italy	7–13	0.02	19%	19 Oct →
dust2	6–13	-0.03	18%	19 Oct →
office	13–4	-0.06	9%	19 Oct →
mirage	13–9	-0.03	17%	19 Oct →
office	12–12	-0.05	15%	18 Oct →
train	13–6	0.06	8%	18 Oct →
dust2	13–3	0.03	15%	18 Oct →
office	13–5	0.04	13%	17 Oct →
italy	13–8	-0.02	16%	17 Oct →
dust2	7–9	-0.03	14%	16 Oct →
office	13–8	-0.04	23%	16 Oct →
office	13–4	0.02	17%	13 Oct →
italy	13–9	0.01	8%	12 Oct →
dust2	4–13	-0.06	13%	12 Oct →
inferno	6–13	-0.04	11%	12 Oct →
office	11–13	-0.06	11%	12 Oct →
dust2	8–13	-0.08	8%	11 Oct →
office	11–13	-0.03	18%	11 Oct →
office	13–10	0.04	19%	8 Oct →
office	6–12	-0.03	0%	8 Oct →
office	11–13	-0.01	14%	8 Oct →
rush_001	7–3	0.02	0%	8 Oct →
office	13–7	0.04	7%	8 Oct →
office	13–10	-0.09	12%	5 Oct →
mirage	3–13	-0.05	17%	5 Oct →
dust2	8–13	0.04	22%	5 Oct →
office	5–13	-0.03	21%	5 Oct →
office	13–11	-0.03	16%	4 Oct →
dust2	13–10	-0.03	11%	4 Oct →
dust2	10–13	-0.06	8%	4 Oct →
office	12–12	0.05	13%	4 Oct →
office	8–13	-0.01	21%	4 Oct →
dust2	9–13	-0.02	15%	4 Oct →
office	13–9	-0.01	10%	4 Oct →
dust2	13–9	0.01	14%	4 Oct →
office	13–10	0.04	23%	4 Oct →
office	13–8	-0.03	12%	2 Oct →
office	9–13	-0.02	15%	30 Sept →
office	0–6	-0.03	0%	30 Sept →
dust2	3–13	-0.15	12%	30 Sept →
dust2	6–13	-0.11	0%	30 Sept →
office	12–12	-0.00	7%	30 Sept →
rush_001	3–7	-0.01	6%	30 Sept →
office	13–10	0.02	8%	29 Sept →