Apollo — CS2 Stats

76561198060121115[U:1:99855387]

1,594Tracked matches59%Win rate2020Tracked since

3,573Hours in CS28Hrs last 2 wks

CSDB Rating5.2 Developing

Ladder ranks via Leetify

Performance scores

Aim36

Positioning62

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY60–33–7Last 10060%Win rateWWLTWLLWLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim3.6

Aggression8.5

Utility5.2

Positioning6.2

Opening Duels4.5

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 ropz 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim3.6

Positioning6.2

Utility5.2

Mechanics5.8

Opening Duels4.5

Win Impact7.9

Composite 5.2/10 (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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time597ms−42ms

first ⅓ avg 639ms → last ⅓ avg 597ms

Headshot accuracy17.4%+3.4%

first ⅓ avg 14.0% → last ⅓ avg 17.4%

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

0.11Best rating — dust2 6–4

13–1Biggest win — dust2

12Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 68% over 34trainWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	34	23–11	68%	0.01
mirage	A	17	10–7	59%	-0.00
cache	A	14	8–6	57%	0.00
inferno	A	13	8–5	62%	0.01
train	C	8	3–5	38%	-0.01
vertigo	—	4	4–0	100%	-0.02
nuke	—	4	1–3	25%	-0.02
anubis	—	3	2–1	67%	-0.02
ancient	—	2	1–1	50%	-0.01
office	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Lifetime stats

113,425Lifetime kills

1.09K/D · Top 50% of tracked players

5,354Matches

42.0%Match win rate

42.7%Headshot %

13.5%Shot accuracy · Top 50% of tracked players

11,554MVPs

2,088Hours (in match)

7,502Bombs planted

894Bombs defused

Most-used weapons

AK-4732,654

M4A4 / M4A1-S16,723

AWP7,720

P2000 / USP-S6,833

Glock-184,625

Desert Eagle4,490

Tec-94,377

P2503,627

Five-SeveN3,440

MP92,465

Lifetime map wins

13,761dust2

6,757inferno

1,653nuke

1,447train

1,215vertigo

1,031cbble

256office

180lake

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

Faceit stats

Combat

155Matches

52%Win rate

1.55Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLL

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.

17.1%Headshot accuracy

28.0%Accuracy (enemy spotted)

30.5%Spray accuracy

76.0%Counter-strafing

13.6°Preaim

603msReaction time

30.7%T opening success

65.0%CT opening success

0.70Enemies flashed / flash

9.2%Flash assists

15.93HE damage / grenade

5.05Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.6491° — above the 12° mark we flag
Aim Training →

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.02	20%	29 Aug →
mirage	13–2	-0.07	27%	28 Aug →
train	7–13	0.03	14%	28 Aug →
train	12–12	-0.01	17%	28 Aug →
cache	13–2	0.01	19%	28 Aug →
inferno	8–13	-0.08	19%	27 Aug →
cache	3–13	0.01	14%	27 Aug →
cache	13–4	0.03	31%	26 Aug →
anubis	3–13	-0.03	26%	26 Aug →
dust2	13–5	0.02	32%	26 Aug →
inferno	13–8	0.02	12%	25 Aug →
mirage	7–13	-0.05	18%	25 Aug →
dust2	10–13	-0.00	21%	25 Aug →
inferno	13–9	0.03	11%	25 Aug →
mirage	13–11	-0.05	17%	24 Aug →
inferno	9–13	0.01	18%	24 Aug →
dust2	6–4	0.11	9%	24 Aug →
dust2	1–13	-0.05	25%	23 Aug →
inferno	9–13	0.00	11%	23 Aug →
ancient	6–13	-0.05	3%	23 Aug →
dust2	13–8	-0.03	26%	23 Aug →
mirage	13–5	-0.04	11%	22 Aug →
mirage	13–2	0.09	8%	22 Aug →
dust2	8–1	0.01	6%	22 Aug →
cache	13–4	0.07	13%	22 Aug →
dust2	11–13	0.01	18%	22 Aug →
mirage	13–3	0.01	21%	21 Aug →
dust2	13–4	0.08	14%	21 Aug →
dust2	13–8	0.02	14%	21 Aug →
cache	11–13	-0.04	14%	20 Aug →
mirage	11–13	-0.04	18%	20 Aug →
mirage	7–13	-0.05	17%	20 Aug →
inferno	13–9	0.05	29%	20 Aug →
cache	13–2	0.05	22%	20 Aug →
cache	13–6	-0.02	24%	19 Aug →
inferno	13–9	0.01	24%	19 Aug →
dust2	12–12	-0.01	20%	18 Aug →
dust2	13–1	0.09	16%	18 Aug →
dust2	11–13	0.02	26%	18 Aug →
cache	9–13	-0.02	17%	18 Aug →
vertigo	13–6	0.02	35%	18 Aug →
nuke	13–10	-0.04	26%	18 Aug →
mirage	12–12	0.00	19%	17 Aug →
dust2	13–11	0.03	16%	17 Aug →
dust2	5–13	-0.01	23%	17 Aug →
inferno	13–7	0.04	14%	17 Aug →
dust2	13–10	-0.00	14%	16 Aug →
dust2	13–2	0.03	8%	16 Aug →
train	13–7	-0.02	19%	15 Aug →
dust2	13–6	-0.03	11%	15 Aug →
mirage	10–13	-0.01	23%	14 Aug →
vertigo	13–11	-0.08	20%	14 Aug →
nuke	11–13	-0.01	23%	13 Aug →
inferno	9–13	0.00	12%	13 Aug →
train	13–6	0.05	20%	12 Aug →
nuke	9–13	0.02	24%	12 Aug →
dust2	9–13	0.01	16%	11 Aug →
dust2	13–6	0.05	13%	10 Aug →
cache	1–13	-0.04	20%	7 Aug →
mirage	11–13	-0.01	16%	7 Aug →
dust2	13–9	-0.06	18%	6 Aug →
inferno	13–10	-0.00	10%	5 Aug →
train	7–3	-0.02	11%	4 Aug →
mirage	13–8	-0.02	13%	3 Aug →
vertigo	13–5	0.05	9%	3 Aug →
office	7–13	-0.09	18%	3 Aug →
dust2	12–12	-0.03	14%	3 Aug →
dust2	13–8	-0.08	11%	2 Aug →
dust2	7–13	0.01	14%	2 Aug →
train	7–13	-0.01	13%	2 Aug →
vertigo	13–6	-0.07	9%	2 Aug →
cache	13–10	0.05	21%	2 Aug →
mirage	10–13	-0.02	16%	2 Aug →
dust2	13–11	-0.00	13%	2 Aug →
mirage	13–2	0.04	20%	31 Jul →
inferno	13–3	0.05	20%	31 Jul →
dust2	12–12	0.03	19%	31 Jul →
nuke	5–13	-0.06	13%	30 Jul →
dust2	13–11	0.01	8%	30 Jul →
cache	10–13	0.01	13%	30 Jul →
cache	8–13	-0.08	15%	30 Jul →
mirage	13–10	0.04	11%	30 Jul →
dust2	2–0	0.00	0%	30 Jul →
train	12–12	-0.03	20%	28 Jul →
dust2	13–5	-0.02	16%	28 Jul →
mirage	13–3	0.06	14%	28 Jul →
ancient	13–10	0.03	15%	28 Jul →
anubis	13–11	0.02	21%	28 Jul →
dust2	13–5	-0.04	11%	27 Jul →
dust2	13–5	0.06	15%	27 Jul →
cache	13–2	0.01	5%	27 Jul →
dust2	13–2	0.04	14%	27 Jul →
anubis	8–1	-0.07	29%	26 Jul →
inferno	13–11	-0.02	8%	26 Jul →
mirage	13–8	0.06	16%	26 Jul →
cache	13–4	-0.02	19%	26 Jul →
dust2	9–13	-0.05	11%	26 Jul →
train	12–12	-0.03	11%	25 Jul →
dust2	13–9	0.00	5%	25 Jul →
inferno	7–13	-0.04	15%	25 Jul →