𝕾𝖎𝖕51 — CS2 Stats

76561198443797127[U:1:483531399]✓ No bans

1,773Tracked matches50%Win rate2021Tracked since

4,298Hours in CS11Hrs last 2 wks

CSDB Rating5.4 DevelopingPassive Rifler

Premier CS Rating18,815Purple band · top ~13.2% of ranked players (population est.)

CSDB Leaderboard#6539 of 12690 tracked

FaceitLevel 6 · 1,327 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

18,815Peak Premier on CSDB

1,327Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,327
Next: Level 7 at 1,351 — 24 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3
Level 6 first seen 2026-08-28
Level 5 first seen 2026-08-28

Premier CS Rating

At peak — 18,815
Next: Pink band at 20,000 — 1,185 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 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

Aim69

Positioning46

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateWWLLLWTLWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9

Aggression3.1

Utility5.4

Positioning4.6

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 83% 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

Reaction time. 605ms 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

Aim6.9

Positioning4.6

Utility5.4

Mechanics7.3

Opening Duels0.3

Win Impact5.0

Composite 5.4/10 (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 rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time603ms−35ms

first ⅓ avg 638ms → last ⅓ avg 603ms

Headshot accuracy24.4%+1.8%

first ⅓ avg 22.5% → last ⅓ avg 24.4%

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

0.23Best rating — inferno 9–1

13–1Biggest win — cache

4Longest win streak

W2Current streak

8–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 62% over 13dust2Weakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	12–8	60%	-0.00
inferno	A	15	9–6	60%	0.02
dust2	D	14	2–12	14%	-0.01
cache	A	13	8–5	62%	-0.02
nuke	D	7	1–6	14%	0.00
overpass	A	7	4–3	57%	0.02
train	D	7	1–6	14%	0.03
anubis	C	7	3–4	43%	0.03
ancient	B	6	3–3	50%	-0.01
vertigo	—	3	1–2	33%	0.00
office	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,845Lifetime kills

1.09K/D · Top 50% of tracked players

8,617Matches

39.5%Match win rate

49.5%Headshot % · Top 50% of tracked players

16.4%Shot accuracy · Top 25% of tracked players

12,201MVPs

2,228Hours (in match)

3,430Bombs planted

1,311Bombs defused

Most-used weapons

AK-4734,532

M4A4 / M4A1-S20,455

AWP13,951

Desert Eagle12,703

P2000 / USP-S8,243

SSG 086,069

Glock-185,558

SG 5533,802

Galil AR3,660

FAMAS2,729

Lifetime map wins

7,802inferno

3,406dust2

3,168nuke

2,029vertigo

1,549train

740lake

529ar_shoots

528safehouse

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

Faceit stats

Combat

89Matches

55%Win rate

1.20Avg K/D

79.1ADR

51%Headshot %

Clutches & streaks

44%1v1 clutch win

24%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	53%	1.24	14.9
Inferno	10	70%	1.35	15.4
Nuke	8	75%	1.27	18.1
Ancient	6	17%	0.89	14.7
Dust2	5	60%	0.86	17.0
Overpass	4	75%	1.41	16.0
Train	1	100%	1.47	22.0
Anubis	1	0%	0.87	13.0

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.

22.9%Headshot accuracy

31.1%Accuracy (enemy spotted)

31.8%Spray accuracy

83.1%Counter-strafing

9.2°Preaim

605msReaction time

25.2%T opening success

32.4%CT opening success

0.61Enemies flashed / flash

4.5%Flash assists

5.59HE damage / grenade

12.59Flashes / 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 25.1632% — 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.

14% win rate across 14 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
mirage	16–14	-0.01	17%	26 Aug →
ancient	13–3	0.09	33%	24 Aug →
dust2	2–13	-0.08	12%	20 Aug →
nuke	7–13	0.00	14%	19 Aug →
inferno	11–13	0.07	30%	19 Aug →
mirage	13–11	-0.00	20%	19 Aug →
dust2	15–15	-0.00	23%	19 Aug →
mirage	4–13	-0.08	11%	18 Aug →
cache	13–8	-0.01	14%	18 Aug →
inferno	11–13	-0.08	17%	15 Aug →
dust2	10–13	-0.03	29%	15 Aug →
mirage	13–9	-0.00	20%	15 Aug →
cache	13–1	-0.06	46%	14 Aug →
vertigo	13–6	0.05	20%	14 Aug →
overpass	13–7	-0.08	17%	14 Aug →
train	1–2	0.01	60%	14 Aug →
inferno	13–11	0.03	16%	13 Aug →
mirage	15–15	0.00	25%	13 Aug →
anubis	13–3	-0.03	21%	13 Aug →
ancient	7–13	0.02	36%	13 Aug →
cache	13–3	-0.01	25%	12 Aug →
dust2	7–13	-0.07	12%	12 Aug →
inferno	6–13	0.04	41%	12 Aug →
train	12–12	0.06	24%	12 Aug →
train	5–13	-0.01	19%	12 Aug →
mirage	12–12	0.07	30%	12 Aug →
mirage	13–8	-0.03	22%	11 Aug →
overpass	2–13	0.00	36%	11 Aug →
cache	13–6	-0.01	13%	7 Aug →
dust2	11–13	0.02	26%	7 Aug →
dust2	8–13	0.02	27%	6 Aug →
vertigo	11–13	-0.03	24%	30 Jul →
train	6–13	0.06	25%	30 Jul →
inferno	13–10	-0.03	27%	28 Jul →
mirage	6–13	-0.08	21%	28 Jul →
ancient	15–15	-0.03	22%	27 Jul →
dust2	13–2	0.12	23%	27 Jul →
mirage	8–13	-0.03	14%	26 Jul →
ancient	16–13	0.00	13%	26 Jul →
mirage	13–7	0.05	15%	25 Jul →
nuke	8–13	0.03	15%	24 Jul →
cache	6–13	-0.01	24%	24 Jul →
dust2	5–13	-0.02	25%	24 Jul →
cache	6–13	-0.03	27%	24 Jul →
dust2	13–8	0.07	26%	24 Jul →
mirage	13–8	0.03	12%	19 Jul →
inferno	9–1	0.23	21%	19 Jul →
inferno	13–7	-0.02	25%	19 Jul →
dust2	8–13	-0.04	25%	19 Jul →
mirage	13–10	-0.05	17%	18 Jul →
inferno	13–9	-0.03	20%	18 Jul →
dust2	6–13	-0.02	14%	18 Jul →
cache	10–13	-0.04	14%	18 Jul →
nuke	13–1	0.04	20%	18 Jul →
mirage	13–6	0.12	18%	18 Jul →
inferno	13–11	0.02	20%	18 Jul →
mirage	11–13	-0.07	9%	18 Jul →
overpass	5–13	0.07	18%	17 Jul →
inferno	13–7	0.07	25%	16 Jul →
cache	13–11	0.01	18%	16 Jul →
dust2	2–8	-0.04	42%	16 Jul →
anubis	13–3	0.08	8%	15 Jul →
cache	16–12	-0.01	23%	15 Jul →
train	9–13	-0.03	24%	14 Jul →
inferno	9–13	0.07	33%	14 Jul →
mirage	13–6	0.04	11%	14 Jul →
nuke	11–13	-0.04	31%	13 Jul →
cache	13–10	0.02	36%	13 Jul →
inferno	13–9	-0.04	35%	13 Jul →
inferno	10–13	-0.04	11%	11 Jul →
nuke	9–13	-0.07	25%	9 Jul →
cache	7–13	-0.08	10%	9 Jul →
mirage	13–9	0.02	31%	8 Jul →
train	8–13	0.06	19%	8 Jul →
mirage	13–6	0.01	28%	8 Jul →
inferno	13–9	0.00	27%	8 Jul →
office	2–13	-0.11	24%	7 Jul →
dust2	10–13	-0.01	20%	7 Jul →
overpass	13–4	0.11	27%	7 Jul →
dust2	8–13	-0.04	7%	20 Jun →
cache	13–5	-0.02	14%	19 Jun →
mirage	12–12	-0.01	23%	19 Jun →
nuke	12–12	0.00	28%	3 Jun →
vertigo	7–13	-0.02	13%	3 Jun →
cache	4–13	-0.03	28%	3 Jun →
anubis	13–10	0.10	20%	3 Jun →
overpass	9–13	0.01	23%	2 Jun →
train	13–9	0.07	29%	2 Jun →
overpass	13–11	-0.02	17%	1 Jun →
anubis	6–13	-0.02	13%	1 Jun →
ancient	1–13	-0.05	25%	1 Jun →
anubis	7–13	0.01	25%	29 May →
overpass	5–2	0.04	25%	29 May →
inferno	3–9	-0.02	13%	29 May →
ancient	13–11	-0.07	18%	28 May →
nuke	14–16	0.04	28%	28 May →
anubis	12–12	0.03	22%	28 May →
mirage	13–11	0.00	33%	28 May →
mirage	4–13	-0.07	23%	23 May →
anubis	10–13	0.00	25%	23 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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