alejobae — CS2 Stats

76561198162333046[U:1:202067318]

1,169Tracked matches47%Win rate2020Tracked since

2,864Hours in CS24Hrs last 2 wks

CSDB Rating4.5 DevelopingHybrid Rifler

FaceitLevel 8 · 1,312 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning54

Utility13

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateWWLLLLLWLL

Last 10 vs previous 10: -40pp win rate · +0.03 avg rating

Player DNA

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

Aim6.9

Aggression8.6

Utility1.3

Positioning5.4

Opening Duels3.6

Clutch4.0

Strong CT-side openerLimited utility dependence

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 81% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Positioning5.4

Utility1.3

Mechanics5.7

Opening Duels3.6

Win Impact3.9

Composite 4.5/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time579ms+17ms

first ⅓ avg 562ms → last ⅓ avg 579ms

Headshot accuracy19.4%−1.2%

first ⅓ avg 20.6% → last ⅓ avg 19.4%

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

0.17Best rating — cache 13–0

13–0Biggest win — cache

4Longest win streak

W2Current streak

8–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 54% over 24ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	-0.00
dust2	C	24	9–15	38%	0.01
cache	C	16	6–10	38%	0.03
inferno	B	11	5–6	45%	-0.01
ancient	D	9	2–7	22%	-0.01
nuke	C	5	2–3	40%	-0.01
anubis	—	4	2–2	50%	-0.01
overpass	—	3	3–0	100%	0.02
office	—	2	0–2	0%	0.03
fachwerk	—	1	1–0	100%	0.06
boulder	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,622Lifetime kills

1.09K/D · Top 50% of tracked players

4,412Matches

37.8%Match win rate

46.5%Headshot % · Top 50% of tracked players

12.9%Shot accuracy · Top 50% of tracked players

9,185MVPs

1,881Hours (in match)

3,345Bombs planted

1,450Bombs defused

Most-used weapons

AK-4742,754

M4A4 / M4A1-S13,991

AWP12,396

P2000 / USP-S4,773

Desert Eagle3,361

Glock-183,092

Knife2,013

P901,622

P2501,409

Galil AR1,309

Lifetime map wins

10,920dust2

3,928inferno

1,925nuke

859vertigo

716train

595lake

324cbble

56office

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

Faceit stats

Combat

393Matches

51%Win rate

1.08Avg K/D

79.1ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	126	56%	1.16	15.6
Dust2	90	46%	1.09	15.2
Inferno	56	52%	1.04	15.6
Ancient	38	47%	0.96	13.4
Nuke	24	50%	1.08	15.2
Anubis	19	63%	1.12	16.7
Cache	16	62%	1.18	16.3
Vertigo	10	40%	0.85	12.9

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.

19.8%Headshot accuracy

33.0%Accuracy (enemy spotted)

37.1%Spray accuracy

75.8%Counter-strafing

8.8°Preaim

589msReaction time

36.1%T opening success

52.7%CT opening success

0.11Enemies flashed / flash

0.0%Flash assists

13.04HE damage / grenade

0.36Flashes / 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 0.106 — 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 36.065% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	0.06	25%	28 Aug →
mirage	13–11	0.02	17%	26 Aug →
dust2	3–6	-0.01	0%	26 Aug →
mirage	9–13	-0.04	16%	22 Aug →
dust2	11–13	0.01	33%	21 Aug →
dust2	7–13	0.02	29%	21 Aug →
dust2	11–13	0.05	23%	29 Jul →
mirage	13–8	-0.01	23%	29 Jul →
mirage	11–13	-0.03	5%	29 Jul →
ancient	9–13	-0.02	15%	29 Jul →
cache	13–7	-0.04	31%	26 Jul →
dust2	13–9	-0.11	28%	26 Jul →
mirage	13–9	0.01	25%	22 Jul →
mirage	12–16	0.06	12%	22 Jul →
nuke	16–14	0.01	23%	22 Jul →
dust2	9–13	-0.05	15%	19 Jul →
ancient	13–6	-0.00	10%	19 Jul →
inferno	5–13	-0.04	10%	19 Jul →
mirage	13–11	-0.04	25%	19 Jul →
mirage	13–4	-0.00	41%	16 Jul →
mirage	5–13	-0.03	33%	16 Jul →
dust2	13–4	0.12	19%	16 Jul →
mirage	11–13	-0.04	22%	16 Jul →
dust2	11–13	-0.04	23%	16 Jul →
inferno	2–13	0.02	15%	14 Jul →
ancient	9–13	-0.04	16%	14 Jul →
cache	9–13	0.04	8%	14 Jul →
mirage	13–11	0.03	10%	13 Jul →
dust2	13–3	0.10	14%	13 Jul →
mirage	13–7	-0.02	18%	12 Jul →
fachwerk	13–6	0.06	21%	9 Jul →
boulder	11–13	-0.02	12%	9 Jul →
dust2	13–6	0.02	22%	9 Jul →
mirage	1–13	-0.05	27%	9 Jul →
cache	8–13	0.07	14%	8 Jul →
inferno	11–13	-0.02	22%	7 Jul →
cache	13–9	0.00	6%	7 Jul →
inferno	10–13	-0.06	8%	7 Jul →
ancient	1–13	-0.02	22%	7 Jul →
mirage	13–8	0.03	31%	7 Jul →
nuke	13–6	0.02	14%	6 Jul →
dust2	13–16	0.06	27%	6 Jul →
dust2	13–8	0.02	12%	6 Jul →
mirage	13–6	0.02	18%	6 Jul →
mirage	5–13	-0.01	27%	6 Jul →
mirage	13–10	-0.00	12%	2 Jul →
ancient	15–15	-0.02	18%	30 Jun →
ancient	13–7	-0.00	25%	29 Jun →
anubis	16–13	0.04	18%	27 Jun →
inferno	7–13	-0.05	11%	27 Jun →
overpass	13–8	-0.00	23%	27 Jun →
overpass	13–3	0.04	18%	23 Jun →
anubis	13–10	-0.01	18%	23 Jun →
mirage	13–8	0.01	19%	23 Jun →
mirage	5–13	-0.03	17%	21 Jun →
nuke	0–2	0.00	0%	20 Jun →
ancient	13–16	0.02	14%	20 Jun →
dust2	13–8	0.01	23%	20 Jun →
inferno	13–9	0.08	16%	20 Jun →
inferno	22–19	0.03	12%	19 Jun →
anubis	11–13	-0.01	19%	16 Jun →
mirage	9–13	0.03	23%	16 Jun →
dust2	11–13	-0.07	8%	16 Jun →
nuke	2–13	-0.09	22%	16 Jun →
mirage	13–6	0.05	15%	9 Jun →
cache	11–13	-0.02	19%	9 Jun →
office	7–8	0.06	21%	4 Jun →
dust2	13–8	-0.03	11%	2 Jun →
dust2	2–13	-0.03	11%	2 Jun →
ancient	5–13	-0.01	28%	1 Jun →
office	7–13	-0.00	29%	31 May →
dust2	13–16	0.03	18%	31 May →
cache	13–7	0.06	24%	31 May →
mirage	3–13	-0.00	26%	30 May →
dust2	2–13	-0.02	43%	30 May →
overpass	13–11	0.03	6%	28 May →
inferno	7–13	0.02	24%	25 May →
cache	13–0	0.17	14%	25 May →
cache	12–12	0.09	27%	25 May →
anubis	0–13	-0.05	0%	19 May →
cache	10–13	0.05	29%	19 May →
ancient	2–13	0.01	39%	19 May →
cache	13–7	0.02	17%	19 May →
dust2	1–13	-0.03	32%	19 May →
inferno	9–5	-0.10	21%	5 May →
dust2	8–13	-0.03	12%	5 May →
dust2	8–13	-0.00	16%	4 May →
cache	12–12	0.06	17%	4 May →
dust2	13–11	0.00	18%	3 May →
inferno	13–2	0.05	19%	3 May →
mirage	4–13	-0.07	33%	1 May →
dust2	4–13	0.07	27%	30 Apr →
cache	13–7	-0.00	23%	30 Apr →
nuke	7–13	-0.00	19%	30 Apr →
dust2	13–11	0.07	12%	30 Apr →
cache	8–13	0.06	23%	29 Apr →
cache	5–13	-0.09	18%	29 Apr →
cache	12–12	-0.01	24%	29 Apr →
inferno	9–7	-0.05	13%	29 Apr →
cache	6–13	-0.04	8%	29 Apr →