MCLENNON — CS2 Stats

EE76561198164057201[U:1:203791473]Steam profile ↗✓ No bans

1,194Tracked matches60%Win rate2020Tracked since

CSDB Rating7.2 StrongSupport

Premier CS Rating22,451Top 25% of 211,827 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#50488 of 258744 tracked

FaceitLevel 8 · 1,954 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,451 -1,087 7 Jun – 2 Oct · 13 days played

27,541Peak Premier in tracked matches

1,954Highest Faceit ELO seen on CSDB

43Days played since 2026-03-12

Faceit ELO

At peak — 1,954
Next: Level 10 at 2,001 — 47 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

5,090 below peak (27,541)
+1,026 over 30 days · improving
-5,090 over 90 days
Next: Red band at 25,000 — 2,549 to go
Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim83

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

HOT55–45Last 10055%Win rateWLLWWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −7.3pp headshot accuracy · −84ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 19%
Avg reaction 634ms

Last 10

7–3 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 23%
Avg reaction 586ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 27%
Avg reaction 628ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.3

Utility5.9

Positioning5.8

Opening Duels4.2

Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Areas to improve

Reaction time. 610ms 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

Aim8.3

Positioning5.8

Utility5.9

Mechanics7.9

Opening Duels4.9

Win Impact8.3

Composite 7.2/10 (Strong), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time624ms−23ms

first ⅓ avg 647ms → last ⅓ avg 624ms

Headshot accuracy24.9%−4.2%

first ⅓ avg 29.1% → last ⅓ avg 24.9%

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.

Personal bests

0.15Best match rating · 13–1 · mirage, 16 Jul →

48%Best headshot accuracy · 13–0 · office, 13 Mar →

406msFastest reaction time · 13–9 · office, 26 Jun →

13–0Biggest win · mirage, 12 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

9–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 73% over 11nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
office	S	26	18–8	69%	0.03
cache	D	19	6–13	32%	0.01
dust2	B	13	7–6	54%	0.00
inferno	S	11	8–3	73%	-0.00
mirage	A	11	6–5	55%	0.02
nuke	D	8	2–6	25%	-0.00
ancient	A	5	3–2	60%	0.00
anubis	—	4	3–1	75%	0.02
vertigo	—	2	2–0	100%	-0.01
poseidon	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

658Matches

52%Win rate

1.10Avg K/D

78.4ADR

47%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	66	53%	1.05	14.5
Anubis	65	57%	1.10	14.6
Inferno	45	58%	1.16	14.8
Dust2	45	36%	1.04	14.5
Vertigo	36	61%	1.03	15.2
Ancient	30	53%	0.94	14.2
Nuke	17	53%	0.97	15.3
Train	17	47%	1.28	15.5

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.

24.6%Headshot accuracy

34.2%Accuracy (enemy spotted)

34.9%Spray accuracy

85.5%Counter-strafing

7.0°Preaim

610msReaction time

52.9%T opening success

46.3%CT opening success

0.64Enemies flashed / flash

8.4%Flash assists

9.27HE damage / grenade

7.13Flashes / match

Recommended for you

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–14	-0.01	18%	27 Oct →
cache	3–13	-0.00	21%	27 Oct →
cache	6–13	0.01	19%	2 Oct →
ancient	13–10	0.01	18%	1 Oct →
anubis	13–6	0.01	21%	25 Sept →
nuke	11–13	0.05	27%	25 Sept →
inferno	13–9	0.04	22%	21 Sept →
ancient	13–6	0.03	36%	15 Sept →
anubis	13–6	0.12	24%	12 Sept →
dust2	13–6	0.02	28%	12 Sept →
mirage	13–0	0.14	48%	12 Sept →
mirage	13–11	0.02	26%	9 Sept →
cache	7–13	0.01	28%	8 Sept →
dust2	2–7	0.04	38%	7 Sept →
inferno	13–5	0.03	38%	7 Sept →
dust2	6–13	-0.07	23%	5 Sept →
nuke	0–13	-0.10	36%	16 Aug →
dust2	5–13	-0.01	26%	16 Jul →
inferno	13–10	0.05	26%	16 Jul →
cache	13–8	0.04	19%	16 Jul →
dust2	13–9	0.02	21%	16 Jul →
mirage	13–1	0.15	15%	16 Jul →
inferno	13–9	0.01	23%	16 Jul →
mirage	5–13	-0.05	18%	12 Jul →
nuke	6–13	-0.03	27%	12 Jul →
dust2	9–13	0.00	17%	12 Jul →
mirage	11–13	-0.02	30%	12 Jul →
nuke	13–7	0.06	30%	12 Jul →
inferno	13–9	-0.02	24%	12 Jul →
mirage	13–11	0.03	16%	12 Jul →
dust2	10–13	-0.03	18%	12 Jul →
cache	11–13	-0.07	14%	12 Jul →
cache	13–4	0.06	28%	11 Jul →
inferno	4–13	-0.05	23%	11 Jul →
dust2	9–13	0.00	18%	11 Jul →
nuke	13–10	0.01	17%	11 Jul →
cache	13–11	0.04	26%	11 Jul →
cache	12–16	-0.03	18%	11 Jul →
mirage	13–8	0.01	17%	11 Jul →
inferno	13–10	-0.01	18%	11 Jul →
cache	13–8	0.01	36%	11 Jul →
inferno	13–16	-0.02	17%	9 Jul →
cache	10–13	-0.05	24%	9 Jul →
dust2	13–10	-0.02	17%	30 Jun →
office	8–13	0.07	23%	28 Jun →
office	13–9	0.03	13%	26 Jun →
office	8–13	-0.10	13%	25 Jun →
office	13–7	0.13	32%	25 Jun →
office	13–11	0.00	16%	20 Jun →
office	13–5	0.02	33%	19 Jun →
office	13–5	0.09	18%	18 Jun →
office	10–13	0.07	31%	17 Jun →
office	13–6	0.04	38%	16 Jun →
office	13–2	0.04	37%	15 Jun →
mirage	5–13	-0.05	38%	15 Jun →
office	11–13	-0.00	12%	11 Jun →
nuke	6–13	-0.04	21%	11 Jun →
mirage	8–13	-0.03	10%	11 Jun →
ancient	10–13	-0.03	20%	11 Jun →
dust2	13–7	0.00	26%	11 Jun →
office	10–13	-0.01	18%	9 Jun →
inferno	13–10	-0.02	29%	9 Jun →
inferno	13–11	0.04	26%	9 Jun →
inferno	7–13	-0.05	14%	9 Jun →
anubis	5–13	-0.03	13%	9 Jun →
dust2	13–7	0.07	41%	9 Jun →
ancient	3–13	-0.06	18%	8 Jun →
dust2	13–7	-0.00	18%	8 Jun →
nuke	2–13	-0.05	14%	8 Jun →
ancient	13–5	0.07	27%	8 Jun →
mirage	4–13	0.02	25%	8 Jun →
mirage	13–3	0.04	17%	7 Jun →
cache	6–13	0.02	24%	29 May →
cache	14–16	-0.02	12%	26 May →
nuke	11–13	0.09	25%	24 May →
cache	13–8	0.00	36%	24 May →
anubis	16–14	-0.04	29%	9 May →
cache	11–13	0.07	32%	5 May →
cache	4–13	-0.02	29%	5 May →
cache	6–13	0.09	34%	1 May →
cache	9–13	-0.03	20%	30 Apr →
cache	13–8	0.06	36%	30 Apr →
cache	9–13	-0.02	29%	30 Apr →
office	11–13	0.02	36%	5 Apr →
office	13–6	-0.00	11%	5 Apr →
office	7–1	0.07	33%	5 Apr →
office	13–5	-0.02	28%	20 Mar →
office	13–6	0.04	37%	20 Mar →
office	13–7	0.08	22%	20 Mar →
office	13–3	-0.00	39%	20 Mar →
office	13–6	0.06	47%	19 Mar →
poseidon	6–9	-0.06	25%	19 Mar →
vertigo	9–7	-0.01	24%	19 Mar →
vertigo	9–7	-0.00	37%	19 Mar →
office	13–5	-0.02	28%	14 Mar →
office	9–13	-0.05	31%	13 Mar →
office	13–0	0.12	48%	13 Mar →
office	10–13	-0.00	44%	12 Mar →
office	6–1	0.02	25%	12 Mar →
office	13–9	0.04	33%	12 Mar →