BAEdriel — CS2 Stats

76561198828242990[U:1:867977262]✓ No bans

2,600Tracked matches56%Win rate2023Tracked since

3,346Hours in CS38Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating16,110Purple band · top ~24% of ranked players (population est.)

CSDB Leaderboard#20471 of 35356 tracked

FaceitLevel 4 · 1,036 ELOTop 81.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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	45.8%	42.5%	44.2%	above
Shot accuracy	4.1%	10.9%	11.2%	7.1% short
Kill/death ratio	0.84	0.99	1.04	0.20 short
Match win rate	44.6%	44.2%	45.3%	meets

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

Aim68

Positioning45

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLLLWWLWTL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.8

Aggression5.1

Utility4.9

Positioning4.5

Opening Duels2.2

Clutch0.8

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 88% playstyle similarity

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

Where you differ: lower positioning profile; 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

Reaction time. 554ms 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

Aim6.8

Positioning4.5

Utility4.9

Mechanics6.2

Opening Duels2.2

Win Impact6.9

Composite 5.5/10 (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-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time563ms−15ms

first ⅓ avg 578ms → last ⅓ avg 563ms

Headshot accuracy15.5%+0.9%

first ⅓ avg 14.6% → last ⅓ avg 15.5%

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 — dust2 13–4

11–0Biggest win — nuke

6Longest win streak

6–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 64% over 36infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	23–13	64%	-0.01
ancient	B	21	11–10	52%	-0.01
nuke	C	18	7–11	39%	-0.02
mirage	C	9	4–5	44%	-0.03
inferno	C	8	3–5	38%	-0.06
cache	A	7	4–3	57%	-0.01
anubis	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,012Lifetime kills

0.84K/D

4,163Matches

44.6%Match win rate · Top 50% of Level 4 players

45.8%Headshot % · Top 50% of Level 4 players

4.1%Shot accuracy

6,648MVPs

1,358Hours (in match)

2,381Bombs planted

516Bombs defused

Most-used weapons

AK-4720,588

M4A4 / M4A1-S13,105

P2000 / USP-S3,036

Desert Eagle2,653

AWP2,401

MP92,308

Glock-182,148

FAMAS1,890

Galil AR1,784

MAC-101,473

Lifetime map wins

9,393dust2

3,865nuke

3,863inferno

1,665vertigo

567train

135cbble

40office

38italy

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

Faceit stats

Combat

274Matches

49%Win rate

0.91Avg K/D

72.4ADR

45%Headshot %

Clutches & streaks

24%1v1 clutch win

15%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	61	59%	0.85	13.9
Ancient	53	47%	0.93	13.3
Mirage	52	40%	0.89	13.8
Anubis	35	51%	0.82	12.5
Nuke	33	55%	1.20	14.4
Overpass	17	53%	0.88	14.5
Inferno	16	25%	0.69	12.8
Vertigo	7	43%	1.25	13.7

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.

15.2%Headshot accuracy

33.7%Accuracy (enemy spotted)

32.6%Spray accuracy

78.0%Counter-strafing

8.3°Preaim

554msReaction time

36.1%T opening success

41.4%CT opening success

0.66Enemies flashed / flash

5.7%Flash assists

7.12HE damage / grenade

6.38Flashes / 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 36.0974% — 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.

38% win rate across 8 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
nuke	11–0	0.06	9%	28 Aug →
nuke	6–13	0.00	19%	28 Aug →
ancient	8–13	-0.04	14%	28 Aug →
nuke	11–13	-0.01	21%	27 Aug →
nuke	13–9	0.04	11%	27 Aug →
dust2	13–11	-0.05	13%	27 Aug →
ancient	3–13	-0.03	17%	27 Aug →
dust2	13–9	-0.03	14%	26 Aug →
dust2	15–15	-0.06	19%	26 Aug →
nuke	9–13	0.00	7%	26 Aug →
nuke	13–10	-0.02	11%	25 Aug →
dust2	13–5	0.05	13%	25 Aug →
dust2	11–13	0.02	31%	25 Aug →
ancient	10–13	0.03	10%	24 Aug →
inferno	13–9	-0.02	13%	24 Aug →
dust2	12–12	0.00	24%	24 Aug →
dust2	13–4	0.11	15%	21 Aug →
ancient	19–16	0.01	11%	21 Aug →
dust2	13–2	0.04	23%	21 Aug →
ancient	7–13	-0.09	6%	21 Aug →
mirage	10–13	-0.05	10%	20 Aug →
ancient	13–16	-0.04	15%	20 Aug →
mirage	13–7	0.02	25%	20 Aug →
dust2	13–7	0.05	19%	20 Aug →
mirage	7–13	-0.04	13%	20 Aug →
ancient	13–10	-0.01	22%	19 Aug →
dust2	12–12	-0.03	8%	19 Aug →
dust2	13–9	-0.02	17%	18 Aug →
nuke	13–4	-0.03	7%	18 Aug →
nuke	6–13	-0.05	18%	18 Aug →
cache	13–10	0.01	13%	17 Aug →
mirage	9–13	-0.02	26%	17 Aug →
dust2	13–2	0.01	20%	17 Aug →
nuke	13–7	-0.04	28%	17 Aug →
dust2	9–13	-0.03	6%	14 Aug →
dust2	13–8	0.01	20%	14 Aug →
dust2	13–7	0.06	21%	14 Aug →
nuke	7–13	-0.11	9%	14 Aug →
dust2	13–5	-0.01	24%	14 Aug →
dust2	13–10	-0.01	22%	12 Aug →
dust2	3–13	-0.07	14%	12 Aug →
nuke	6–13	-0.01	29%	12 Aug →
nuke	5–13	0.01	8%	9 Aug →
dust2	11–13	-0.00	9%	9 Aug →
mirage	8–13	-0.05	5%	9 Aug →
dust2	11–13	-0.00	14%	8 Aug →
anubis	6–13	-0.07	15%	8 Aug →
ancient	13–7	0.01	8%	8 Aug →
ancient	8–13	-0.02	18%	8 Aug →
dust2	13–2	-0.06	9%	8 Aug →
inferno	8–13	-0.02	16%	8 Aug →
ancient	19–17	0.01	16%	6 Aug →
dust2	13–10	-0.02	16%	6 Aug →
dust2	9–13	-0.03	7%	6 Aug →
nuke	13–16	-0.03	19%	6 Aug →
ancient	5–13	-0.06	11%	5 Aug →
nuke	9–13	-0.09	6%	5 Aug →
ancient	13–9	0.00	11%	5 Aug →
mirage	9–13	-0.05	20%	4 Aug →
inferno	10–13	0.09	11%	4 Aug →
inferno	13–7	-0.02	18%	4 Aug →
cache	11–13	-0.01	14%	4 Aug →
mirage	13–7	-0.06	9%	3 Aug →
dust2	5–13	-0.02	24%	3 Aug →
mirage	13–9	0.01	21%	2 Aug →
dust2	11–13	-0.09	7%	2 Aug →
ancient	13–11	-0.01	15%	2 Aug →
mirage	13–2	-0.06	12%	31 Jul →
dust2	13–4	-0.01	15%	31 Jul →
ancient	13–8	-0.01	7%	31 Jul →
dust2	13–6	0.00	16%	31 Jul →
ancient	13–7	0.04	11%	29 Jul →
dust2	3–13	-0.06	8%	29 Jul →
ancient	2–13	-0.01	12%	29 Jul →
dust2	10–4	-0.04	16%	29 Jul →
dust2	11–13	-0.03	16%	28 Jul →
cache	13–10	-0.03	22%	28 Jul →
ancient	13–5	0.00	14%	28 Jul →
dust2	13–10	0.01	17%	28 Jul →
nuke	11–13	-0.03	10%	26 Jul →
dust2	13–6	0.05	22%	26 Jul →
ancient	12–16	-0.07	13%	26 Jul →
dust2	13–10	-0.04	12%	26 Jul →
cache	9–13	-0.07	11%	26 Jul →
inferno	6–13	-0.08	9%	26 Jul →
ancient	11–3	0.03	27%	26 Jul →
dust2	13–3	-0.01	18%	24 Jul →
dust2	13–8	-0.02	12%	24 Jul →
dust2	13–2	0.03	16%	24 Jul →
ancient	9–13	-0.02	16%	24 Jul →
inferno	13–10	-0.02	10%	23 Jul →
cache	8–13	-0.02	20%	23 Jul →
cache	13–4	-0.02	11%	22 Jul →
cache	13–8	0.04	18%	22 Jul →
nuke	8–13	-0.05	12%	21 Jul →
nuke	13–11	0.03	19%	20 Jul →
inferno	8–8	-0.22	14%	20 Jul →
inferno	3–9	-0.20	17%	20 Jul →
ancient	13–11	-0.01	17%	18 Jul →
nuke	13–11	-0.02	15%	18 Jul →