Mokey — CS2 Stats

76561198302581993[U:1:342316265]✓ No bans

767Tracked matches50%Win rate2020Tracked since

1,657Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning54

Utility65

0–100 skill scores via Leetify.

Recent form

COLD52–41–7Last 10052%Win rateLLLWLLTWWL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.1

Aggression7.5

Utility6.5

Positioning5.4

Opening Duels3.7

Effective 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 b1t 90% 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 →

Strengths & areas to improve

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 654ms 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

Aim7.1

Positioning5.4

Utility6.5

Mechanics7.2

Opening Duels3.7

Win Impact5.0

Composite 6.1/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time648ms+7ms

first ⅓ avg 641ms → last ⅓ avg 648ms

Headshot accuracy24.7%+5.9%

first ⅓ avg 18.8% → last ⅓ avg 24.7%

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

0.31Best rating — nuke 3–1

13–1Biggest win — inferno

7Longest win streak

L3Current streak

7–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 68% over 19ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	27	17–10	63%	0.01
mirage	D	21	7–14	33%	-0.02
inferno	S	19	13–6	68%	0.01
ancient	D	10	3–7	30%	-0.04
nuke	B	6	3–3	50%	0.06
dust2	B	6	3–3	50%	0.00
overpass	C	5	2–3	40%	-0.02
anubis	—	3	2–1	67%	-0.04
train	—	3	2–1	67%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,464Lifetime kills

0.91K/D

4,127Matches

42.7%Match win rate

42.4%Headshot %

18.7%Shot accuracy · Top 10% of tracked players

12,906MVPs

1,657Hours (in match)

3,852Bombs planted

1,031Bombs defused

Most-used weapons

AK-4723,020

M4A4 / M4A1-S11,635

AWP9,817

Desert Eagle6,209

P2000 / USP-S4,476

UMP-452,340

Glock-182,323

P2501,950

MP91,414

Tec-91,081

Lifetime map wins

4,157inferno

3,551dust2

3,226train

1,864cbble

1,755nuke

650vertigo

433office

170lake

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

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

34.2%Accuracy (enemy spotted)

36.0%Spray accuracy

82.5%Counter-strafing

10.4°Preaim

654msReaction time

50.0%T opening success

39.7%CT opening success

0.79Enemies flashed / flash

6.8%Flash assists

14.21HE damage / grenade

8.16Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.6983% — 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.

30% win rate across 10 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	9–13	-0.03	27%	8 Aug →
mirage	11–13	-0.00	14%	8 Aug →
nuke	10–13	0.03	25%	18 Jul →
inferno	13–1	0.06	26%	18 Jul →
mirage	10–13	0.01	30%	18 Jul →
inferno	11–13	-0.03	24%	18 Jul →
inferno	12–12	-0.02	27%	7 Jul →
mirage	13–9	0.08	31%	7 Jul →
inferno	13–10	0.06	38%	7 Jul →
mirage	7–13	-0.05	15%	30 Jun →
dust2	11–13	0.01	16%	30 Jun →
ancient	13–8	-0.03	15%	30 Jun →
anubis	13–9	-0.00	23%	30 Jun →
anubis	13–8	-0.05	18%	25 Jun →
ancient	15–15	-0.02	28%	25 Jun →
inferno	13–9	0.04	23%	25 Jun →
mirage	13–2	0.04	19%	25 Jun →
inferno	13–3	0.07	21%	25 Jun →
mirage	8–13	-0.09	28%	25 Jun →
cache	8–13	-0.05	23%	23 Jun →
cache	13–6	-0.03	26%	23 Jun →
cache	4–13	-0.02	32%	23 Jun →
cache	12–12	0.01	32%	23 Jun →
cache	13–5	-0.03	41%	21 Jun →
cache	13–7	0.04	25%	21 Jun →
cache	10–13	0.04	35%	21 May →
cache	12–12	-0.01	26%	21 May →
cache	5–13	-0.05	25%	21 May →
cache	13–5	-0.01	17%	21 May →
dust2	10–13	0.00	26%	19 May →
cache	13–3	0.12	15%	19 May →
cache	10–13	-0.00	28%	19 May →
cache	13–6	-0.00	20%	19 May →
cache	13–8	-0.03	3%	16 May →
cache	13–6	0.02	19%	10 May →
cache	13–4	0.04	13%	10 May →
cache	13–4	0.14	28%	9 May →
cache	13–4	0.01	21%	9 May →
cache	13–7	0.04	9%	9 May →
cache	11–13	-0.04	24%	9 May →
cache	13–8	0.10	15%	9 May →
cache	13–7	-0.03	34%	8 May →
cache	13–1	0.05	16%	8 May →
cache	5–13	-0.00	18%	8 May →
dust2	9–13	-0.05	19%	8 May →
mirage	9–13	-0.04	8%	8 May →
ancient	3–13	-0.02	25%	7 May →
overpass	7–13	-0.03	24%	7 May →
inferno	8–13	-0.03	19%	7 May →
inferno	13–6	-0.03	19%	6 May →
mirage	12–6	-0.00	12%	6 May →
inferno	0–7	-0.04	25%	6 May →
inferno	1–5	0.03	10%	6 May →
nuke	9–13	-0.03	23%	6 May →
inferno	13–11	-0.04	11%	6 May →
dust2	13–8	0.02	31%	6 May →
inferno	13–3	0.07	21%	6 May →
mirage	8–13	-0.09	36%	6 May →
cache	13–11	-0.07	6%	29 Apr →
cache	13–3	0.08	20%	29 Apr →
cache	12–12	-0.01	21%	28 Apr →
anubis	4–13	-0.05	28%	28 Apr →
mirage	10–13	0.02	13%	28 Apr →
nuke	13–2	0.03	27%	28 Apr →
inferno	11–13	-0.06	14%	25 Apr →
mirage	13–8	0.03	11%	25 Apr →
mirage	13–8	-0.02	21%	22 Feb →
ancient	15–15	0.01	29%	21 Feb →
dust2	13–3	-0.03	14%	21 Feb →
nuke	13–7	0.05	27%	21 Feb →
ancient	10–13	-0.03	13%	21 Feb →
mirage	13–7	0.05	12%	9 Dec →
mirage	1–13	-0.06	18%	25 Oct →
overpass	13–11	-0.06	18%	5 Oct →
inferno	13–8	-0.03	21%	5 Oct →
inferno	13–3	0.04	14%	4 Oct →
overpass	11–13	-0.03	19%	4 Oct →
dust2	13–4	0.04	16%	4 Oct →
mirage	6–13	-0.01	24%	1 Oct →
mirage	13–11	-0.03	28%	1 Oct →
nuke	6–13	-0.03	28%	1 Oct →
nuke	3–1	0.31	28%	27 Sept →
train	13–10	-0.02	13%	27 Sept →
ancient	9–13	-0.11	9%	27 Sept →
ancient	7–13	-0.03	15%	26 Sept →
train	7–13	-0.03	13%	26 Sept →
overpass	13–7	0.06	15%	26 Sept →
mirage	9–13	-0.03	19%	26 Sept →
inferno	13–5	0.02	26%	25 Sept →
inferno	13–4	0.02	14%	25 Sept →
ancient	13–11	-0.02	25%	25 Sept →
mirage	8–13	-0.06	14%	25 Sept →
ancient	1–13	-0.13	12%	24 Sept →
mirage	7–13	-0.05	18%	24 Sept →
inferno	13–7	0.02	16%	24 Sept →
overpass	14–16	-0.05	18%	24 Sept →
train	13–11	-0.05	24%	23 Sept →
inferno	13–6	-0.01	28%	23 Sept →
ancient	16–12	0.01	11%	23 Sept →
mirage	15–15	-0.01	21%	21 Sept →