aleksi — CS2 Stats

76561198070581379[U:1:110315651]

878Tracked matches77%Win rate2020Tracked since

3,583Hours in CS6Hrs last 2 wks

CSDB Rating7.9 StrongEntry Fragger

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim87

Positioning67

Utility69

0–100 skill scores via Leetify.

Recent form

HOT62–38Last 10062%Win rateWWLWWWWWWW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.7

Aggression10.0

Utility6.9

Positioning6.7

Opening Duels6.6

Clutch2.8

Sharp aimerEffective flashes

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 s1mple 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 597ms 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

Aim8.7

Positioning6.7

Utility6.9

Mechanics7.6

Opening Duels6.6

Win Impact10.0

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time594ms−58ms

first ⅓ avg 652ms → last ⅓ avg 594ms

Headshot accuracy25.5%+1.6%

first ⅓ avg 23.8% → last ⅓ avg 25.5%

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

0.21Best rating — nuke 13–0

13–0Biggest win — nuke

10Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 80% over 20overpassWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	16–4	80%	-0.00
inferno	A	19	12–7	63%	0.05
mirage	B	19	9–10	47%	0.03
nuke	S	12	9–3	75%	0.06
ancient	A	9	5–4	56%	0.01
overpass	D	9	3–6	33%	0.01
train	S	5	4–1	80%	0.02
cache	—	2	2–0	100%	0.12
anubis	—	2	0–2	0%	-0.04
jura	—	1	1–0	100%	0.04
thera	—	1	1–0	100%	0.16
mills	—	1	0–1	0%	0.09

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,621Lifetime kills

1.13K/D · Top 50% of tracked players

4,503Matches

49.3%Match win rate · Top 50% of tracked players

45.8%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

12,692MVPs

2,819Hours (in match)

4,197Bombs planted

1,342Bombs defused

Most-used weapons

AK-4733,405

M4A4 / M4A1-S16,614

AWP12,308

Desert Eagle6,748

P2000 / USP-S5,653

Glock-183,960

P2502,773

P902,450

FAMAS2,320

Knife1,900

Lifetime map wins

11,503inferno

8,444dust2

3,966nuke

3,411train

924cbble

415vertigo

221dust

190office

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

Faceit stats

Combat

1,280Matches

55%Win rate

1.15Avg K/D

78.4ADR

47%Headshot %

Clutches & streaks

34%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	146	51%	1.12	16.2
Dust2	119	60%	1.08	16.1
Inferno	102	59%	1.23	16.9
Ancient	56	54%	1.09	16.1
Anubis	52	50%	1.15	16.1
Train	42	71%	1.04	15.9
Overpass	42	57%	1.24	18.5
Nuke	34	47%	1.06	15.0

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.

25.2%Headshot accuracy

39.0%Accuracy (enemy spotted)

40.6%Spray accuracy

84.1%Counter-strafing

9.1°Preaim

597msReaction time

51.1%T opening success

61.5%CT opening success

0.70Enemies flashed / flash

10.8%Flash assists

7.59HE damage / grenade

12.55Flashes / match

Recommended for you

Spend your practice time on Overpass

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–4	0.18	31%	19 Aug →
ancient	13–8	0.04	19%	18 Aug →
inferno	4–13	0.04	21%	18 Aug →
cache	13–8	0.05	45%	29 Jul →
ancient	13–10	-0.03	23%	28 Jul →
inferno	4–2	0.03	36%	28 Jul →
dust2	13–10	0.07	25%	24 Jul →
nuke	13–10	0.04	10%	24 Jul →
mirage	13–7	-0.02	20%	24 Jul →
mirage	13–7	0.11	34%	30 May →
mirage	13–7	0.08	64%	30 May →
inferno	13–1	0.19	23%	30 May →
nuke	13–0	0.21	37%	30 May →
mirage	9–13	0.04	29%	16 Apr →
nuke	13–6	0.03	28%	16 Apr →
nuke	13–11	0.04	33%	14 Apr →
nuke	13–2	0.15	25%	27 Feb →
ancient	13–4	0.02	15%	27 Feb →
mirage	14–16	0.03	13%	15 Oct →
inferno	6–13	-0.05	21%	15 Oct →
inferno	13–10	-0.00	29%	1 Oct →
inferno	13–4	0.12	22%	25 Sept →
dust2	13–10	-0.01	30%	17 Sept →
inferno	13–9	-0.02	11%	10 Sept →
dust2	13–9	-0.01	22%	10 Sept →
train	13–10	-0.01	20%	10 Sept →
overpass	8–13	0.07	16%	10 Sept →
mirage	6–13	-0.09	30%	4 Sept →
mirage	13–10	0.04	25%	29 Aug →
dust2	8–13	-0.07	18%	29 Aug →
overpass	8–13	-0.05	15%	29 Aug →
mirage	9–13	0.01	31%	28 Aug →
dust2	13–10	-0.02	21%	27 Aug →
overpass	8–13	-0.00	17%	16 Aug →
overpass	6–13	-0.04	23%	14 Aug →
inferno	22–19	0.01	23%	13 Aug →
overpass	23–25	-0.02	22%	13 Aug →
train	5–13	-0.01	29%	12 Aug →
dust2	13–8	0.00	30%	5 Aug →
mirage	16–14	-0.00	23%	5 Aug →
overpass	8–13	0.03	24%	29 Jul →
dust2	9–13	0.00	17%	29 Jul →
mirage	13–6	0.10	26%	29 Jul →
dust2	13–4	-0.02	25%	28 Jul →
inferno	16–12	0.04	20%	28 Jul →
ancient	8–13	0.01	27%	27 Jul →
dust2	13–9	-0.04	15%	27 Jul →
nuke	13–11	0.07	22%	27 Jul →
train	13–7	0.09	20%	26 Jul →
overpass	13–3	0.03	28%	26 Jul →
mirage	11–13	-0.03	32%	25 Jul →
ancient	9–13	-0.00	29%	24 Jul →
ancient	6–13	0.03	18%	24 Jul →
mirage	13–16	-0.02	28%	23 Jul →
overpass	13–4	0.04	58%	23 Jul →
nuke	13–10	0.09	50%	23 Jul →
overpass	13–10	0.09	20%	23 Jul →
inferno	13–7	0.06	38%	23 Jul →
ancient	13–5	0.06	21%	16 Jul →
dust2	13–10	0.01	23%	10 Jul →
train	16–14	-0.01	18%	10 Jul →
inferno	6–13	0.07	20%	29 Jun →
nuke	10–13	0.03	19%	29 Jun →
dust2	13–4	0.02	27%	19 Jun →
mirage	9–13	0.01	27%	17 Jun →
dust2	13–6	0.03	17%	17 Jun →
inferno	7–13	-0.01	16%	17 Jun →
nuke	11–13	-0.01	23%	13 Jun →
dust2	13–7	-0.03	24%	13 Jun →
nuke	5–13	-0.03	14%	13 Jun →
mirage	9–13	0.08	23%	7 Jun →
mirage	11–13	0.02	44%	7 Jun →
mirage	13–8	0.13	31%	6 Jun →
inferno	11–13	0.04	25%	6 Jun →
jura	13–8	0.04	32%	4 Jun →
ancient	13–6	-0.04	14%	30 May →
dust2	4–13	0.02	18%	30 May →
dust2	13–5	-0.01	35%	30 May →
dust2	13–11	0.02	26%	24 May →
nuke	16–13	0.07	17%	5 May →
anubis	6–13	-0.05	26%	5 May →
inferno	13–8	0.07	24%	2 May →
anubis	5–13	-0.03	10%	1 May →
mirage	13–6	0.07	21%	1 May →
inferno	13–2	0.12	25%	30 Apr →
train	13–10	0.06	22%	30 Apr →
mirage	13–7	0.00	17%	29 Apr →
dust2	13–11	0.00	16%	21 Apr →
dust2	16–14	-0.04	19%	18 Apr →
mirage	5–13	-0.06	16%	18 Apr →
dust2	13–11	-0.04	43%	18 Apr →
inferno	13–6	-0.04	25%	15 Apr →
nuke	13–3	0.09	41%	9 Apr →
dust2	12–16	0.02	28%	29 Mar →
inferno	6–13	0.05	23%	29 Mar →
ancient	7–13	-0.03	26%	13 Oct →
thera	13–3	0.16	21%	8 Jul →
mills	4–13	0.09	14%	8 Jul →
inferno	7–13	0.02	11%	7 Jul →
inferno	13–10	0.16	33%	15 Jun →