Olympian — CS2 Stats

76561198132494133[U:1:172228405]Steam profile ↗1 game ban

661Tracked matches47%Win rate2020Tracked since

1,426Hours in CS5Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim84

Positioning56

Utility49

0–100 skill scores via Leetify.

Recent form

HOT49–50–1Last 10049%Win rateWLWLWWWWLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.4

Aggression7.1

Utility4.9

Positioning5.6

Opening Duels2.7

Clutch3.4

Excellent counter-strafing

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success.

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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

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

Aim8.4

Positioning5.6

Utility4.9

Mechanics9.0

Opening Duels2.7

Win Impact3.9

Composite 6.4/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time609ms−13ms

first ⅓ avg 622ms → last ⅓ avg 609ms

Headshot accuracy14.7%−1.5%

first ⅓ avg 16.2% → last ⅓ avg 14.7%

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

0.22Best rating — inferno 10–13

13–3Biggest win — mirage

4Longest win streak

8–12In matches decided by ≤2 rounds

20Overtime games

Map breakdown

mirageBest map · 58% over 38anubisWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	38	22–16	58%	0.01
ancient	B	16	8–8	50%	0.02
inferno	B	15	7–8	47%	0.01
anubis	D	13	2–11	15%	-0.01
nuke	C	7	3–4	43%	0.03
dust2	C	5	2–3	40%	-0.01
overpass	—	4	4–0	100%	0.01
cache	—	1	1–0	100%	-0.01
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,096Lifetime kills

1.39K/D · Top 10% of tracked players

1,681Matches

42.7%Match win rate

60.4%Headshot % · Top 10% of tracked players

10.8%Shot accuracy

4,206MVPs

1,351Hours (in match)

1,097Bombs planted

459Bombs defused

Most-used weapons

AK-4736,688

M4A4 / M4A1-S7,473

AWP3,895

Desert Eagle2,995

P2000 / USP-S2,661

Glock-181,185

FAMAS589

MP9518

Galil AR494

SSG 08432

Lifetime map wins

3,883inferno

1,579dust2

686train

636vertigo

621nuke

254cbble

65lake

7sugarcane

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

Faceit stats

Combat

262Matches

48%Win rate

1.12Avg K/D

84.5ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	81	54%	1.18	17.4
Ancient	33	45%	1.18	18.8
Anubis	30	33%	0.98	16.3
Inferno	29	52%	1.28	17.2
Nuke	17	59%	1.33	17.5
Dust2	14	29%	0.87	14.6
Vertigo	9	56%	1.14	19.1
Overpass	4	25%	0.70	12.3

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.

14.5%Headshot accuracy

42.9%Accuracy (enemy spotted)

44.6%Spray accuracy

90.6%Counter-strafing

10.3°Preaim

616msReaction time

34.4%T opening success

46.8%CT opening success

0.47Enemies flashed / flash

4.1%Flash assists

8.54HE damage / grenade

7.16Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5066% — below the 15% mark we flag
Aim Training →
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 0.4674 — 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 34.4177% — below the 40% mark we flag

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	-0.03	6%	27 Aug →
anubis	6–13	-0.02	11%	25 Aug →
dust2	13–4	-0.01	17%	23 Aug →
anubis	11–13	-0.01	14%	13 Aug →
ancient	13–9	-0.03	17%	12 Aug →
ancient	13–4	0.15	14%	11 Aug →
ancient	13–9	-0.04	16%	6 Aug →
mirage	13–3	-0.01	15%	6 Aug →
ancient	5–13	-0.01	26%	28 Jul →
ancient	13–8	0.07	24%	25 Jul →
ancient	4–13	-0.01	12%	24 Jul →
ancient	13–7	0.08	27%	21 Jul →
mirage	10–13	-0.01	9%	21 Jul →
ancient	13–11	0.04	6%	13 Jul →
anubis	4–13	-0.00	14%	11 Jul →
mirage	16–12	0.05	17%	11 Jul →
dust2	13–10	0.01	10%	8 Jul →
mirage	3–13	-0.03	13%	6 Jul →
ancient	5–13	-0.05	14%	6 Jul →
mirage	13–5	0.03	15%	4 Jul →
anubis	20–22	-0.01	11%	28 Jun →
anubis	13–16	-0.02	16%	26 Jun →
anubis	8–13	0.06	13%	25 Jun →
mirage	6–13	-0.02	25%	19 Jun →
anubis	7–13	-0.01	4%	12 Jun →
mirage	16–19	0.00	19%	12 Jun →
mirage	13–9	0.05	12%	11 Jun →
ancient	11–13	0.02	16%	11 Jun →
inferno	13–16	-0.03	13%	10 Jun →
inferno	13–6	-0.06	15%	10 Jun →
mirage	13–11	0.05	17%	6 Jun →
mirage	11–13	0.03	7%	2 Jun →
mirage	13–3	0.09	23%	2 Jun →
ancient	9–13	0.07	12%	1 Jun →
mirage	13–7	0.07	16%	30 May →
dust2	11–13	-0.03	21%	30 May →
anubis	11–13	-0.07	9%	29 May →
mirage	13–3	0.03	4%	29 May →
anubis	13–6	0.04	12%	29 May →
inferno	13–11	-0.01	14%	29 May →
dust2	14–16	-0.01	16%	29 May →
anubis	12–16	0.01	8%	28 May →
mirage	11–13	-0.05	15%	28 May →
inferno	13–3	0.07	19%	28 May →
inferno	10–13	0.22	22%	28 May →
mirage	13–8	0.07	11%	28 May →
mirage	13–11	-0.04	23%	27 May →
mirage	13–11	-0.02	11%	26 May →
inferno	8–13	-0.07	17%	25 May →
nuke	14–16	-0.01	18%	22 May →
mirage	13–5	0.02	24%	21 May →
mirage	10–13	-0.03	17%	19 May →
mirage	8–13	-0.06	16%	19 May →
mirage	10–13	-0.01	12%	14 May →
nuke	14–16	0.04	15%	14 May →
mirage	13–8	-0.01	18%	9 May →
mirage	12–16	0.03	21%	9 May →
inferno	9–13	-0.01	20%	4 May →
cache	13–6	-0.01	26%	1 May →
anubis	14–16	0.03	22%	1 May →
inferno	8–13	-0.04	28%	1 May →
mirage	13–8	-0.01	14%	30 Apr →
ancient	16–13	0.03	21%	25 Apr →
inferno	13–3	0.04	19%	25 Apr →
overpass	16–12	0.05	9%	25 Apr →
mirage	3–13	0.02	43%	25 Apr →
mirage	3–13	-0.01	6%	25 Apr →
mirage	13–6	0.05	15%	25 Apr →
nuke	13–10	-0.02	10%	24 Apr →
inferno	13–10	0.01	21%	24 Apr →
mirage	11–13	0.02	18%	24 Apr →
mirage	16–13	0.01	18%	24 Apr →
anubis	5–13	-0.05	13%	23 Apr →
nuke	6–0	0.09	10%	23 Apr →
dust2	9–13	0.01	26%	23 Apr →
ancient	3–13	-0.06	25%	23 Apr →
mirage	16–13	-0.01	9%	23 Apr →
inferno	16–14	0.01	16%	21 Apr →
train	6–13	-0.01	24%	21 Apr →
overpass	13–5	-0.02	14%	20 Apr →
mirage	10–1	0.09	21%	20 Apr →
inferno	15–15	-0.05	14%	20 Apr →
mirage	2–13	-0.07	11%	18 Apr →
mirage	16–13	0.02	12%	18 Apr →
inferno	13–7	0.06	14%	18 Apr →
ancient	9–13	0.00	6%	18 Apr →
nuke	13–7	0.06	18%	18 Apr →
overpass	13–10	0.00	19%	17 Apr →
ancient	9–13	0.06	17%	17 Apr →
inferno	5–13	0.06	7%	17 Apr →
nuke	8–13	0.01	24%	17 Apr →
anubis	16–14	-0.01	16%	16 Apr →
mirage	13–9	0.02	20%	16 Apr →
nuke	13–16	0.02	23%	15 Apr →
inferno	5–13	-0.07	19%	15 Apr →
mirage	8–13	0.00	13%	15 Apr →
ancient	13–5	0.01	9%	14 Apr →
overpass	13–11	-0.00	14%	14 Apr →
mirage	13–8	-0.06	16%	14 Apr →
mirage	8–13	-0.00	24%	13 Apr →