Moe Lester — CS2 Stats

SE76561198186405934[U:1:226140206]Steam profile ↗✓ No bans

4,185Tracked matches50%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating20,898Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#13569 of 39376 tracked

FaceitLevel 9 · 1,966 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning66

Utility58

0–100 skill scores via Leetify.

Recent form

HOT45–49–6Last 10045%Win rateWWWWWWLLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

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

Aim6.3

Aggression8.8

Utility5.8

Positioning6.6

Opening Duels5.1

Clutch3.6

Strong CT-side opener

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 89% 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. 61% 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 61% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms 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

Aim6.3

Positioning6.6

Utility5.8

Mechanics5.6

Opening Duels5.1

Win Impact5.0

Composite 6.0/10 (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 rating0.02+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time639ms−45ms

first ⅓ avg 684ms → last ⅓ avg 639ms

Headshot accuracy19.5%+2.1%

first ⅓ avg 17.4% → last ⅓ avg 19.5%

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

0.11Best rating — mirage 16–14

13–0Biggest win — mirage

7Longest win streak

W6Current streak

15–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 64% over 11cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	-0.01
anubis	D	16	5–11	31%	-0.01
mirage	B	14	7–7	50%	0.02
ancient	A	11	7–4	64%	-0.01
nuke	B	11	5–6	45%	-0.00
cache	D	10	3–7	30%	0.02
inferno	A	7	4–3	57%	-0.01
vertigo	—	3	0–3	0%	-0.01
train	—	2	1–1	50%	0.03
alpine	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

4,348Matches

50%Win rate

1.05Avg K/D

81.3ADR

43%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	819	51%	1.11	16.6
Ancient	568	49%	1.10	16.5
Anubis	425	48%	1.09	16.8
Nuke	284	50%	1.15	17.1
Dust2	269	44%	0.99	15.5
Vertigo	166	50%	1.03	15.8
Train	145	59%	1.21	17.7
Inferno	127	42%	1.04	16.8

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.

19.8%Headshot accuracy

35.2%Accuracy (enemy spotted)

34.5%Spray accuracy

75.3%Counter-strafing

9.8°Preaim

636msReaction time

40.6%T opening success

60.5%CT opening success

0.47Enemies flashed / flash

6.1%Flash assists

10.35HE damage / grenade

14.32Flashes / 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 0.4738 — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–5	0.09	27%	28 Aug →
dust2	13–7	0.05	15%	28 Aug →
ancient	13–11	0.01	19%	28 Aug →
cache	7–3	0.10	25%	28 Aug →
dust2	13–11	0.05	23%	28 Aug →
mirage	16–14	0.11	19%	28 Aug →
dust2	7–13	-0.01	26%	28 Aug →
dust2	5–13	0.02	13%	27 Aug →
mirage	13–6	0.04	19%	27 Aug →
cache	7–13	0.00	21%	26 Aug →
mirage	9–13	-0.02	16%	25 Aug →
anubis	7–13	0.00	13%	24 Aug →
mirage	13–0	0.09	20%	24 Aug →
nuke	11–13	0.05	26%	23 Aug →
anubis	13–8	0.02	18%	23 Aug →
mirage	6–13	-0.02	19%	23 Aug →
dust2	6–13	-0.04	16%	23 Aug →
nuke	13–5	0.04	16%	20 Aug →
dust2	15–15	-0.02	23%	20 Aug →
anubis	13–5	-0.03	24%	20 Aug →
ancient	10–13	0.03	22%	20 Aug →
dust2	16–14	0.04	21%	19 Aug →
cache	11–13	0.01	8%	19 Aug →
anubis	10–13	-0.02	14%	19 Aug →
dust2	13–8	-0.03	36%	19 Aug →
dust2	13–3	0.09	21%	19 Aug →
ancient	15–15	0.05	21%	19 Aug →
anubis	11–13	-0.03	17%	18 Aug →
inferno	12–16	0.02	18%	16 Aug →
ancient	4–13	-0.05	20%	15 Aug →
anubis	5–13	-0.03	20%	15 Aug →
dust2	10–13	-0.06	17%	15 Aug →
dust2	9–13	-0.05	12%	15 Aug →
ancient	13–11	-0.06	11%	15 Aug →
mirage	13–6	0.08	33%	14 Aug →
cache	3–13	-0.06	44%	14 Aug →
anubis	6–13	-0.08	14%	13 Aug →
dust2	13–11	0.03	21%	13 Aug →
inferno	16–13	0.01	14%	13 Aug →
cache	11–13	-0.00	22%	12 Aug →
dust2	13–3	0.06	43%	12 Aug →
dust2	13–11	0.01	16%	9 Aug →
mirage	4–13	-0.06	13%	9 Aug →
cache	10–13	0.09	18%	5 Aug →
ancient	13–7	-0.01	9%	5 Aug →
vertigo	11–13	-0.02	20%	5 Aug →
mirage	13–11	0.04	26%	5 Aug →
inferno	13–9	0.03	22%	5 Aug →
anubis	10–13	-0.02	12%	5 Aug →
dust2	7–13	-0.04	10%	5 Aug →
cache	13–10	-0.01	21%	3 Aug →
nuke	15–15	-0.02	14%	1 Aug →
cache	7–13	-0.06	19%	31 Jul →
mirage	3–13	-0.04	17%	30 Jul →
ancient	7–13	-0.09	17%	30 Jul →
dust2	13–6	-0.07	14%	30 Jul →
nuke	13–3	0.00	23%	29 Jul →
inferno	8–8	-0.09	38%	29 Jul →
vertigo	10–13	-0.01	20%	29 Jul →
vertigo	2–13	-0.01	23%	29 Jul →
ancient	13–11	0.01	20%	28 Jul →
anubis	10–13	0.00	17%	23 Jul →
cache	10–13	0.02	21%	22 Jul →
anubis	13–4	0.11	15%	22 Jul →
anubis	13–10	-0.01	14%	20 Jul →
nuke	13–7	0.02	22%	17 Jul →
ancient	13–9	-0.04	19%	16 Jul →
cache	13–10	0.08	22%	15 Jul →
dust2	13–5	0.02	20%	15 Jul →
dust2	13–6	-0.07	20%	12 Jul →
train	9–13	0.01	19%	11 Jul →
anubis	8–13	0.01	18%	11 Jul →
ancient	13–11	0.03	17%	10 Jul →
dust2	9–13	-0.12	9%	9 Jul →
mirage	8–13	-0.01	20%	8 Jul →
dust2	6–8	0.06	18%	6 Jul →
nuke	13–7	0.04	15%	4 Jul →
mirage	13–7	0.03	22%	2 Jul →
nuke	16–14	-0.03	22%	1 Jul →
dust2	13–9	0.01	20%	1 Jul →
mirage	11–13	-0.05	28%	30 Jun →
inferno	13–11	-0.03	19%	30 Jun →
anubis	11–13	-0.04	11%	30 Jun →
inferno	15–15	0.00	18%	30 Jun →
nuke	10–13	-0.04	18%	28 Jun →
mirage	15–15	-0.01	19%	26 Jun →
dust2	1–13	-0.04	17%	26 Jun →
dust2	10–13	-0.01	11%	25 Jun →
dust2	13–11	-0.02	5%	24 Jun →
ancient	13–11	0.02	13%	24 Jun →
alpine	8–13	-0.02	0%	23 Jun →
train	13–1	0.04	30%	23 Jun →
nuke	11–13	-0.03	23%	23 Jun →
anubis	6–13	-0.03	36%	23 Jun →
dust2	10–13	-0.04	14%	16 Jun →
anubis	7–13	-0.03	12%	16 Jun →
inferno	13–10	-0.03	8%	16 Jun →
nuke	6–13	-0.02	22%	15 Jun →
nuke	4–13	-0.04	18%	15 Jun →
mirage	16–14	0.05	15%	14 Jun →