✪CommanderX19™ — CS2 Stats

76561198812126562[U:1:851860834]Steam profile ↗✓ No bans

2,064Tracked matches24%Win rate2020Tracked since

2,564Hours in CS9Hrs last 2 wks

CSDB Rating5.3 DevelopingAggressive Rifler

CSDB Leaderboard#28213 of 29366 tracked

Ladder ranks via Leetify

Rating over time

1,417Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,417
Next: Level 8 at 1,531 — 114 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-08-28
Level 6 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

Aim78

Positioning65

Utility58

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLWLLLWLWL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression8.2

Utility5.8

Positioning6.5

Opening Duels3.4

Clutch2.4

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 b1t 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 616ms 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

Aim7.8

Positioning6.5

Utility5.8

Mechanics6.7

Opening Duels3.4

Win Impact0.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time619ms−0ms

first ⅓ avg 619ms → last ⅓ avg 619ms

Headshot accuracy25.6%+2.4%

first ⅓ avg 23.1% → last ⅓ avg 25.6%

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

0.15Best rating — mirage 13–5

13–1Biggest win — dust2

6Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	10–17	37%	0.03
mirage	A	22	13–9	59%	0.03
inferno	D	17	5–12	29%	0.02
cache	C	11	4–7	36%	0.02
ancient	B	8	4–4	50%	0.02
nuke	B	6	3–3	50%	0.02
anubis	A	5	3–2	60%	0.02
overpass	—	2	0–2	0%	0.03
office	—	1	0–1	0%	0.03
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,122Lifetime kills

1.16K/D · Top 25% of tracked players

4,284Matches

45.9%Match win rate · Top 50% of tracked players

43.1%Headshot %

12.4%Shot accuracy · Top 50% of tracked players

10,805MVPs

1,570Hours (in match)

3,305Bombs planted

992Bombs defused

Most-used weapons

AK-4723,581

M4A4 / M4A1-S13,241

AWP12,084

P2000 / USP-S5,686

Desert Eagle4,365

Glock-183,659

SSG 083,352

Galil AR1,442

MP91,318

Knife1,039

Lifetime map wins

10,446dust2

6,404inferno

2,538vertigo

2,399nuke

609train

323office

90cbble

66italy

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

Faceit stats

Combat

363Matches

50%Win rate

1.18Avg K/D

84.3ADR

42%Headshot %

Clutches & streaks

32%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	31	52%	1.35	16.1
Dust2	21	52%	1.30	15.6
Inferno	19	53%	1.08	16.3
Ancient	14	29%	1.06	17.0
Nuke	12	58%	1.43	20.3
Anubis	12	42%	1.21	18.7
Overpass	3	33%	1.12	17.3
Cache	3	33%	1.58	20.0

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.

25.9%Headshot accuracy

33.7%Accuracy (enemy spotted)

37.4%Spray accuracy

80.1%Counter-strafing

8.7°Preaim

616msReaction time

37.5%T opening success

49.5%CT opening success

0.61Enemies flashed / flash

1.4%Flash assists

10.48HE damage / grenade

14.50Flashes / 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 37.5% — 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.

29% win rate across 17 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
dust2	11–13	0.01	24%	28 Aug →
dust2	3–13	-0.01	23%	27 Aug →
nuke	13–5	0.10	18%	21 Aug →
dust2	11–13	-0.03	16%	8 Aug →
dust2	5–13	-0.01	23%	7 Aug →
office	10–13	0.03	21%	6 Aug →
mirage	13–3	0.13	28%	3 Aug →
dust2	10–13	-0.00	38%	3 Aug →
ancient	13–11	0.03	40%	3 Aug →
dust2	4–13	-0.01	16%	2 Aug →
inferno	5–13	-0.01	23%	2 Aug →
dust2	8–13	0.06	31%	2 Aug →
dust2	11–13	0.03	25%	2 Aug →
vertigo	7–13	-0.01	28%	1 Aug →
nuke	12–12	0.08	19%	1 Aug →
dust2	2–13	0.08	29%	1 Aug →
dust2	5–13	-0.01	33%	1 Aug →
inferno	11–13	0.09	31%	30 Jul →
dust2	13–8	0.13	34%	30 Jul →
mirage	4–13	0.07	50%	30 Jul →
ancient	5–13	-0.03	27%	29 Jul →
cache	6–13	-0.04	19%	29 Jul →
anubis	13–11	0.04	19%	29 Jul →
ancient	11–13	0.02	14%	29 Jul →
anubis	11–13	-0.00	19%	29 Jul →
dust2	13–7	0.08	22%	29 Jul →
mirage	4–13	-0.03	20%	29 Jul →
inferno	13–7	0.07	22%	29 Jul →
inferno	5–13	-0.04	44%	28 Jul →
mirage	6–13	-0.06	26%	28 Jul →
nuke	13–8	0.04	27%	28 Jul →
dust2	16–13	0.13	23%	28 Jul →
mirage	13–8	0.10	11%	28 Jul →
dust2	13–10	-0.01	20%	28 Jul →
mirage	16–12	0.02	25%	27 Jul →
cache	13–4	0.04	32%	27 Jul →
inferno	8–13	0.01	21%	26 Jul →
nuke	13–7	0.05	14%	26 Jul →
dust2	13–8	-0.00	8%	26 Jul →
dust2	4–13	0.02	23%	26 Jul →
mirage	13–3	0.08	41%	26 Jul →
dust2	13–1	0.14	44%	26 Jul →
mirage	13–10	0.07	22%	26 Jul →
mirage	7–13	-0.05	11%	25 Jul →
cache	4–13	-0.01	25%	24 Jul →
inferno	13–11	0.10	36%	24 Jul →
dust2	13–5	0.08	32%	24 Jul →
mirage	13–10	0.06	18%	24 Jul →
inferno	9–13	0.09	20%	22 Jul →
inferno	11–13	-0.07	19%	22 Jul →
dust2	9–13	-0.01	20%	22 Jul →
ancient	11–13	-0.03	13%	20 Jul →
cache	13–5	0.03	19%	20 Jul →
inferno	13–8	0.00	26%	20 Jul →
mirage	13–4	0.05	29%	19 Jul →
mirage	4–13	0.02	36%	18 Jul →
inferno	10–13	0.05	32%	17 Jul →
nuke	0–3	-0.10	50%	17 Jul →
dust2	5–13	-0.05	22%	16 Jul →
ancient	13–9	0.06	21%	16 Jul →
inferno	8–13	0.09	13%	16 Jul →
cache	5–13	0.07	33%	15 Jul →
mirage	4–13	-0.02	24%	15 Jul →
mirage	13–5	0.01	25%	15 Jul →
mirage	13–10	0.07	26%	15 Jul →
cache	8–13	0.03	34%	15 Jul →
inferno	0–11	-0.03	0%	15 Jul →
anubis	6–13	0.01	25%	15 Jul →
ancient	13–8	0.07	34%	15 Jul →
anubis	13–9	0.03	19%	15 Jul →
cache	13–6	0.02	15%	14 Jul →
mirage	11–13	-0.00	10%	12 Jul →
nuke	5–13	-0.04	31%	12 Jul →
ancient	8–13	-0.01	23%	12 Jul →
inferno	15–15	0.02	18%	12 Jul →
cache	8–13	0.08	19%	12 Jul →
inferno	13–11	0.02	12%	12 Jul →
cache	13–3	-0.01	24%	11 Jul →
dust2	13–8	0.05	44%	11 Jul →
inferno	5–13	-0.01	21%	11 Jul →
ancient	13–10	0.02	15%	11 Jul →
anubis	13–11	0.00	21%	10 Jul →
mirage	2–13	-0.08	19%	10 Jul →
cache	12–16	0.04	25%	10 Jul →
dust2	13–8	0.03	31%	10 Jul →
inferno	9–13	-0.01	23%	10 Jul →
mirage	13–5	0.15	22%	10 Jul →
cache	4–13	-0.01	19%	9 Jul →
dust2	6–13	-0.01	36%	9 Jul →
dust2	13–9	-0.04	18%	9 Jul →
overpass	6–9	0.06	22%	8 Jul →
mirage	13–7	0.07	25%	7 Jul →
dust2	3–10	0.09	30%	7 Jul →
mirage	7–13	0.00	27%	7 Jul →
inferno	13–10	-0.00	17%	5 Jul →
dust2	8–13	0.06	29%	5 Jul →
overpass	10–13	0.01	20%	5 Jul →
mirage	13–9	0.02	23%	2 Jul →
dust2	9–13	-0.03	29%	24 Jun →
mirage	13–9	-0.04	20%	20 Jun →