Mo_O — CS2 Stats

DE76561197980158210[U:1:19892482]Steam profile ↗✓ No bans

2,602Tracked matches52%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#8628 of 19989 tracked

FaceitLevel 9 · 1,658 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning69

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLLWWWLWLL

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

Player DNA

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

Aim6.7

Aggression10.0

Utility5.4

Positioning6.9

Opening Duels5.0

Clutch2.8

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 sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, 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 →

CSDB Rating breakdown

Aim6.7

Positioning6.9

Utility5.4

Mechanics4.5

Opening Duels5.0

Win Impact5.6

Composite 6.1/10 (Solid), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time530ms−45ms

first ⅓ avg 575ms → last ⅓ avg 530ms

Headshot accuracy20.9%+1.4%

first ⅓ avg 19.5% → last ⅓ avg 20.9%

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

0.14Best rating — cache 13–11

13–0Biggest win — inferno

7Longest win streak

6–14In matches decided by ≤2 rounds

17Overtime games

Map breakdown

infernoBest map · 62% over 34cacheWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	34	21–13	62%	0.03
ancient	B	22	11–11	50%	0.02
anubis	B	20	9–11	45%	0.02
cache	C	13	5–8	38%	0.01
dust2	C	5	2–3	40%	0.04
mirage	—	3	1–2	33%	0.02
overpass	—	3	1–2	33%	0.00

Across the last 100 tracked matches.

Faceit stats

Combat

527Matches

52%Win rate

1.16Avg K/D

79.9ADR

46%Headshot %

Clutches & streaks

34%1v1 clutch win

22%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	108	65%	1.13	15.8
Ancient	99	49%	0.96	14.9
Anubis	82	52%	1.13	15.1
Dust2	62	40%	0.94	13.7
Overpass	15	60%	1.26	16.0
Mirage	12	25%	1.35	21.9
Cache	11	36%	1.19	16.6
Nuke	10	70%	1.07	16.0

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.

21.1%Headshot accuracy

32.9%Accuracy (enemy spotted)

32.1%Spray accuracy

70.3%Counter-strafing

9.5°Preaim

525msReaction time

45.8%T opening success

54.0%CT opening success

0.36Enemies flashed / flash

4.5%Flash assists

13.12HE damage / grenade

5.87Flashes / 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 0.3618 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–8	0.00	18%	28 Aug →
cache	2–13	-0.05	17%	28 Aug →
anubis	11–13	0.04	25%	28 Aug →
inferno	13–9	0.06	16%	28 Aug →
inferno	13–6	0.09	33%	28 Aug →
anubis	13–8	-0.00	21%	28 Aug →
inferno	6–13	0.04	17%	23 Aug →
cache	13–9	-0.01	17%	23 Aug →
anubis	11–13	0.02	33%	23 Aug →
ancient	9–13	0.01	19%	22 Aug →
ancient	13–7	0.09	21%	20 Aug →
inferno	15–15	0.04	22%	20 Aug →
cache	10–13	0.03	17%	20 Aug →
cache	10–13	-0.04	22%	20 Aug →
inferno	13–10	0.02	11%	20 Aug →
cache	13–11	0.14	18%	16 Aug →
mirage	13–11	0.09	27%	16 Aug →
inferno	13–6	0.04	41%	16 Aug →
inferno	13–2	0.09	24%	16 Aug →
ancient	13–8	0.05	16%	15 Aug →
anubis	2–13	-0.06	18%	15 Aug →
mirage	17–19	-0.01	35%	15 Aug →
anubis	4–13	0.03	28%	15 Aug →
ancient	13–8	0.00	18%	15 Aug →
ancient	13–10	0.07	24%	14 Aug →
anubis	13–2	0.03	16%	14 Aug →
inferno	14–16	0.00	18%	13 Aug →
cache	14–16	0.02	12%	13 Aug →
ancient	13–16	0.00	16%	13 Aug →
inferno	10–13	0.01	12%	11 Aug →
anubis	6–13	-0.02	27%	11 Aug →
anubis	12–16	-0.02	15%	9 Aug →
cache	13–16	0.03	16%	9 Aug →
inferno	13–0	0.14	40%	9 Aug →
inferno	16–14	0.06	18%	9 Aug →
anubis	13–10	0.06	16%	9 Aug →
ancient	16–13	0.09	25%	9 Aug →
ancient	13–11	0.03	18%	9 Aug →
cache	13–5	0.05	26%	8 Aug →
ancient	13–10	-0.03	11%	8 Aug →
inferno	8–13	-0.02	16%	5 Aug →
cache	7–13	-0.01	10%	5 Aug →
ancient	7–13	0.01	17%	5 Aug →
ancient	9–13	-0.02	16%	5 Aug →
inferno	9–13	-0.02	34%	3 Aug →
ancient	9–13	0.02	18%	3 Aug →
inferno	13–5	0.03	27%	3 Aug →
inferno	13–5	-0.02	39%	3 Aug →
dust2	13–8	0.06	13%	1 Aug →
cache	9–13	-0.02	9%	1 Aug →
anubis	7–13	0.04	21%	1 Aug →
anubis	13–8	0.08	22%	31 Jul →
inferno	13–9	0.07	23%	31 Jul →
anubis	16–14	0.02	13%	31 Jul →
dust2	13–0	0.13	24%	25 Jul →
anubis	13–6	0.01	21%	25 Jul →
inferno	11–13	0.05	23%	25 Jul →
inferno	16–13	-0.01	18%	24 Jul →
inferno	13–7	0.09	19%	24 Jul →
inferno	13–6	0.07	14%	24 Jul →
ancient	15–15	-0.01	10%	24 Jul →
mirage	11–13	-0.01	20%	14 Jul →
inferno	7–13	-0.02	20%	14 Jul →
cache	13–6	0.04	25%	14 Jul →
ancient	13–10	0.06	18%	14 Jul →
inferno	8–13	-0.03	17%	14 Jul →
inferno	13–6	0.01	17%	14 Jul →
ancient	14–16	0.04	23%	11 Jul →
inferno	1–13	-0.04	9%	11 Jul →
dust2	6–13	0.07	17%	11 Jul →
ancient	13–9	0.00	21%	11 Jul →
anubis	13–10	0.03	13%	11 Jul →
anubis	13–16	0.06	23%	11 Jul →
cache	7–13	0.00	14%	8 Jul →
ancient	13–11	-0.05	17%	9 Jun →
inferno	11–13	0.00	27%	9 Jun →
inferno	13–9	0.03	25%	9 Jun →
anubis	8–13	0.04	28%	9 Jun →
inferno	13–7	0.06	10%	9 Jun →
inferno	14–16	0.00	10%	6 Jun →
anubis	4–13	0.01	9%	6 Jun →
dust2	4–13	-0.05	31%	6 Jun →
ancient	9–13	-0.01	21%	5 Jun →
ancient	11–13	0.04	19%	5 Jun →
inferno	13–5	0.06	26%	5 Jun →
dust2	11–13	-0.00	14%	5 Jun →
anubis	6–13	0.00	17%	5 Jun →
inferno	13–16	-0.03	20%	5 Jun →
overpass	10–13	-0.04	15%	5 Jun →
overpass	13–6	0.03	23%	3 Jun →
inferno	13–10	0.06	18%	3 Jun →
inferno	13–4	0.09	25%	3 Jun →
anubis	13–8	-0.07	17%	3 Jun →
inferno	13–7	-0.03	15%	3 Jun →
ancient	13–3	0.08	25%	2 Jun →
overpass	14–16	0.02	21%	2 Jun →
ancient	9–13	-0.00	26%	2 Jun →
anubis	13–9	0.08	16%	1 Jun →
ancient	11–13	0.01	27%	1 Jun →
inferno	13–4	0.14	20%	1 Jun →