rejred — CS2 Stats

DE76561198119036416[U:1:158770688]Steam profile ↗

1,271Tracked matches23%Win rate2020Tracked since

CSDB Rating3.4 Learning

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim40

Positioning41

Utility39

0–100 skill scores via Leetify.

Recent form

COLD36–53–11Last 10036%Win rateTWLTLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim4.0

Aggression3.3

Utility3.9

Positioning4.1

Opening Duels0.0

Clutch4.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 39% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim4.0

Positioning4.1

Utility3.9

Mechanics4.6

Opening Duels1.2

Win Impact0.0

Composite 3.4/10 (Learning), 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-0.04−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time601ms−111ms

first ⅓ avg 712ms → last ⅓ avg 601ms

Headshot accuracy18.5%−3.7%

first ⅓ avg 22.1% → last ⅓ avg 18.5%

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.

Highlights

0.11Best rating — boulder 13–5

13–0Biggest win — boulder

7Longest win streak

7–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

boulderBest map · 50% over 6dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	14	6–8	43%	-0.01
office	C	14	5–9	36%	-0.04
fachwerk	C	14	5–9	36%	-0.02
vertigo	D	9	3–6	33%	-0.03
cache	D	8	2–6	25%	-0.03
shelter	C	8	3–5	38%	-0.03
italy	C	7	3–4	43%	-0.05
boulder	B	6	3–3	50%	-0.03
inferno	D	6	2–4	33%	0.01
dust2	D	5	1–4	20%	-0.06
ancient	—	3	2–1	67%	-0.00
mirage	—	2	0–2	0%	-0.08
anubis	—	2	1–1	50%	-0.02
train	—	1	0–1	0%	0.02
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches

52%Win rate

1.08Avg K/D

71.2ADR

47%Headshot %

Clutches & streaks

44%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	33%	0.83	12.7
Nuke	4	75%	0.92	16.3
Mirage	3	33%	0.70	12.0
Anubis	2	100%	0.86	15.0
Dust2	1	0%	0.88	22.0
Ancient	1	100%	1.20	18.0

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.

18.5%Headshot accuracy

27.8%Accuracy (enemy spotted)

30.8%Spray accuracy

70.5%Counter-strafing

11.6°Preaim

606msReaction time

16.6%T opening success

39.3%CT opening success

0.40Enemies flashed / flash

11.5%Flash assists

11.74HE damage / grenade

2.24Flashes / 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.

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 0.3993 — 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 16.6066% — 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.

20% win rate across 5 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
nuke	12–12	0.02	27%	27 Aug →
ancient	13–9	0.07	18%	27 Aug →
boulder	9–13	-0.08	30%	25 Aug →
office	12–12	-0.02	14%	25 Aug →
fachwerk	3–13	-0.05	22%	25 Aug →
office	13–10	-0.01	22%	24 Aug →
office	5–13	-0.02	32%	23 Aug →
office	13–8	-0.04	17%	21 Aug →
cache	5–13	-0.02	21%	21 Aug →
mirage	11–13	-0.09	10%	21 Aug →
fachwerk	7–13	-0.04	7%	19 Aug →
boulder	13–2	-0.04	20%	19 Aug →
vertigo	7–13	-0.03	21%	19 Aug →
italy	13–7	-0.06	16%	17 Aug →
office	10–13	-0.06	35%	17 Aug →
fachwerk	5–13	-0.09	20%	17 Aug →
shelter	0–7	-0.04	0%	17 Aug →
nuke	3–13	-0.07	25%	17 Aug →
mirage	5–13	-0.07	14%	16 Aug →
dust2	12–12	-0.10	16%	16 Aug →
office	12–12	-0.06	23%	16 Aug →
italy	9–13	-0.08	12%	14 Aug →
fachwerk	8–13	-0.08	38%	13 Aug →
nuke	11–13	-0.01	8%	13 Aug →
italy	10–13	0.01	7%	11 Aug →
nuke	13–7	0.06	16%	10 Aug →
dust2	1–13	-0.12	12%	10 Aug →
office	3–13	-0.07	10%	10 Aug →
boulder	7–13	-0.11	19%	10 Aug →
shelter	10–13	-0.00	15%	10 Aug →
vertigo	1–13	-0.06	10%	10 Aug →
nuke	12–12	0.01	21%	9 Aug →
train	5–13	0.02	33%	7 Aug →
anubis	12–12	-0.06	19%	7 Aug →
ancient	13–7	-0.02	17%	7 Aug →
italy	3–13	-0.04	17%	6 Aug →
vertigo	6–13	-0.05	35%	6 Aug →
fachwerk	9–13	0.06	23%	6 Aug →
dust2	13–8	-0.01	17%	6 Aug →
inferno	5–13	-0.02	32%	6 Aug →
office	6–13	-0.07	44%	5 Aug →
vertigo	13–11	-0.02	20%	5 Aug →
fachwerk	13–4	-0.02	20%	5 Aug →
italy	6–13	-0.08	11%	3 Aug →
boulder	13–0	0.02	19%	3 Aug →
fachwerk	13–3	0.01	14%	3 Aug →
nuke	13–10	-0.01	9%	3 Aug →
vertigo	13–4	-0.03	15%	3 Aug →
fachwerk	13–9	-0.08	19%	3 Aug →
cache	13–8	0.01	21%	31 Jul →
shelter	13–6	-0.04	21%	30 Jul →
vertigo	11–13	-0.03	14%	30 Jul →
office	10–13	-0.02	11%	30 Jul →
fachwerk	13–8	-0.00	17%	30 Jul →
shelter	11–13	-0.03	18%	29 Jul →
ancient	11–13	-0.05	9%	29 Jul →
inferno	12–12	-0.01	16%	29 Jul →
vertigo	10–13	-0.01	9%	29 Jul →
office	5–13	-0.06	29%	28 Jul →
fachwerk	8–13	0.02	14%	28 Jul →
nuke	6–13	-0.06	5%	28 Jul →
inferno	3–13	-0.04	19%	28 Jul →
office	13–11	-0.03	12%	27 Jul →
fachwerk	5–13	-0.01	29%	27 Jul →
nuke	13–7	-0.04	13%	27 Jul →
shelter	12–12	-0.05	26%	27 Jul →
inferno	6–13	0.06	28%	26 Jul →
overpass	2–2	-0.05	50%	26 Jul →
shelter	13–11	-0.00	28%	26 Jul →
vertigo	12–12	-0.03	18%	26 Jul →
fachwerk	11–13	-0.02	10%	25 Jul →
cache	11–13	-0.02	20%	25 Jul →
inferno	13–11	0.01	26%	25 Jul →
office	13–9	0.01	16%	25 Jul →
nuke	13–8	0.07	13%	25 Jul →
nuke	13–6	0.01	13%	23 Jul →
dust2	5–13	-0.03	26%	23 Jul →
nuke	12–16	-0.07	11%	23 Jul →
nuke	14–16	-0.06	13%	23 Jul →
italy	13–5	-0.03	27%	22 Jul →
office	7–1	0.01	100%	22 Jul →
cache	10–13	-0.02	34%	22 Jul →
inferno	13–11	0.07	25%	22 Jul →
office	5–13	-0.07	17%	21 Jul →
shelter	7–7	-0.01	3%	21 Jul →
boulder	13–5	0.11	20%	21 Jul →
cache	12–12	-0.04	24%	17 Jul →
cache	8–13	-0.08	11%	16 Jul →
boulder	3–13	-0.08	22%	14 Jul →
cache	5–13	-0.07	13%	14 Jul →
anubis	13–0	0.02	25%	14 Jul →
nuke	13–9	0.03	19%	14 Jul →
fachwerk	9–13	0.10	15%	13 Jul →
vertigo	13–7	0.01	18%	13 Jul →
shelter	8–13	-0.10	17%	13 Jul →
italy	13–7	-0.04	31%	12 Jul →
nuke	2–13	-0.06	13%	10 Jul →
dust2	12–12	-0.05	13%	10 Jul →
fachwerk	13–11	-0.02	21%	9 Jul →
cache	13–7	0.03	16%	9 Jul →