Cpt. John Doe — CS2 Stats

76561198033899448[U:1:73633720]VAC banned

690Tracked matches50%Win rate2023Tracked since

CSDB Rating4.3 Developing

Ladder ranks via Leetify

Performance scores

Aim54

Positioning42

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWWLWWLWLLL

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

Player DNA

Aim5.4

Aggression3.6

Utility5.9

Positioning4.2

Opening Duels0.9

Clutch4.0

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 NiKo 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim5.4

Positioning4.2

Utility5.9

Mechanics5.5

Opening Duels1.5

Win Impact5.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.03

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time639ms−20ms

first ⅓ avg 659ms → last ⅓ avg 639ms

Headshot accuracy15.0%−3.1%

first ⅓ avg 18.1% → last ⅓ avg 15.0%

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

0.19Best rating — train 13–11

13–1Biggest win — cache

9Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 71% over 14mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	13–16	45%	-0.04
cache	C	25	11–14	44%	-0.03
train	S	14	10–4	71%	0.02
mirage	D	8	2–6	25%	-0.04
office	A	5	3–2	60%	-0.02
nuke	—	4	2–2	50%	-0.07
vertigo	—	4	3–1	75%	-0.03
italy	—	4	2–2	50%	-0.05
anubis	—	3	1–2	33%	-0.04
inferno	—	2	0–2	0%	-0.10
shelter	—	1	1–0	100%	0.04
ancient	—	1	0–1	0%	0.09

Across the last 100 tracked matches.

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

Faceit stats

Combat

341Matches

48%Win rate

0.84Avg K/D

70.8ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	115	48%	0.83	13.9
Mirage	53	57%	0.80	13.1
Nuke	49	51%	0.97	13.3
Anubis	39	31%	0.81	13.7
Cache	25	56%	0.77	12.4
Inferno	15	60%	0.90	14.5
Overpass	6	33%	0.68	9.8
Train	5	60%	0.91	10.4

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.

16.4%Headshot accuracy

33.7%Accuracy (enemy spotted)

37.3%Spray accuracy

74.8%Counter-strafing

10.9°Preaim

640msReaction time

25.5%T opening success

42.0%CT opening success

0.80Enemies flashed / flash

3.7%Flash assists

10.43HE damage / grenade

5.92Flashes / 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
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 25.494% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
shelter	13–3	0.04	7%	28 Aug →
dust2	13–4	0.00	10%	19 Aug →
mirage	7–13	-0.04	10%	19 Aug →
train	13–5	0.03	28%	19 Aug →
cache	13–8	-0.02	20%	19 Aug →
ancient	10–13	0.09	17%	18 Aug →
dust2	13–2	-0.02	10%	18 Aug →
nuke	0–13	-0.10	18%	16 Aug →
cache	11–13	-0.08	10%	13 Aug →
cache	10–13	-0.01	14%	12 Aug →
vertigo	13–11	0.01	13%	4 Aug →
vertigo	13–5	-0.02	25%	4 Aug →
cache	11–13	0.05	19%	4 Aug →
cache	13–10	-0.02	17%	23 Jul →
anubis	6–13	-0.05	10%	23 Jul →
anubis	13–11	0.01	12%	23 Jul →
dust2	9–13	0.02	26%	17 Jul →
train	13–11	0.19	27%	16 Jul →
cache	13–6	-0.03	18%	16 Jul →
office	13–7	-0.00	19%	11 Jul →
cache	13–1	0.00	17%	2 Jul →
cache	5–13	-0.09	0%	1 Jul →
dust2	2–13	-0.10	10%	1 Jul →
mirage	11–13	-0.06	21%	1 Jul →
dust2	1–13	-0.07	0%	1 Jul →
dust2	0–13	-0.01	0%	1 Jul →
mirage	3–13	-0.04	20%	26 Jun →
dust2	6–13	-0.08	21%	26 Jun →
cache	13–11	-0.05	13%	26 Jun →
dust2	13–5	-0.07	14%	26 Jun →
dust2	6–13	-0.10	21%	25 Jun →
cache	8–13	-0.03	13%	25 Jun →
cache	13–5	0.01	14%	24 Jun →
train	6–0	0.11	14%	24 Jun →
anubis	1–13	-0.08	18%	22 Jun →
dust2	13–11	0.03	27%	22 Jun →
dust2	7–13	-0.01	20%	22 Jun →
mirage	13–8	0.07	21%	22 Jun →
mirage	13–5	-0.04	10%	17 Jun →
dust2	10–13	-0.06	16%	17 Jun →
cache	13–11	-0.01	21%	17 Jun →
train	6–13	-0.07	16%	17 Jun →
train	13–2	0.04	11%	11 Jun →
mirage	6–13	-0.05	18%	10 Jun →
dust2	4–13	-0.11	22%	10 Jun →
cache	9–13	-0.02	33%	10 Jun →
train	13–2	-0.04	26%	10 Jun →
cache	9–13	-0.08	10%	4 Jun →
vertigo	13–8	-0.01	18%	4 Jun →
dust2	13–9	0.05	20%	27 May →
train	4–13	-0.09	12%	27 May →
cache	8–13	-0.06	15%	27 May →
dust2	13–11	-0.07	20%	27 May →
dust2	5–13	-0.01	12%	25 May →
nuke	9–13	-0.05	12%	25 May →
cache	13–8	-0.00	10%	20 May →
cache	13–10	-0.03	23%	17 May →
train	13–7	0.03	19%	14 May →
office	13–5	0.07	21%	13 May →
office	13–5	-0.03	23%	13 May →
train	13–4	-0.01	16%	11 May →
cache	13–3	-0.01	19%	11 May →
dust2	13–6	-0.00	21%	8 May →
dust2	3–0	-0.00	0%	8 May →
cache	9–13	-0.04	20%	6 May →
dust2	6–13	-0.04	23%	6 May →
dust2	11–13	-0.08	22%	6 May →
cache	3–13	-0.10	7%	6 May →
cache	12–12	-0.03	16%	1 May →
cache	10–13	-0.02	14%	30 Apr →
cache	10–13	-0.01	22%	30 Apr →
cache	13–11	-0.00	16%	29 Apr →
cache	9–13	-0.05	12%	29 Apr →
dust2	11–13	0.01	26%	28 Apr →
train	13–8	0.02	14%	28 Apr →
dust2	13–8	-0.02	32%	22 Apr →
train	9–0	0.06	29%	19 Apr →
dust2	2–13	-0.13	0%	15 Apr →
nuke	9–2	-0.10	16%	15 Apr →
nuke	13–1	-0.01	13%	15 Apr →
dust2	13–6	-0.02	27%	15 Apr →
inferno	2–13	-0.09	23%	15 Apr →
inferno	0–13	-0.10	100%	15 Apr →
mirage	0–13	-0.08	0%	15 Apr →
vertigo	8–13	-0.08	7%	11 Apr →
train	13–6	0.02	13%	11 Apr →
dust2	13–10	-0.04	24%	9 Apr →
italy	13–8	-0.02	14%	8 Apr →
dust2	2–13	-0.07	12%	8 Apr →
dust2	13–7	-0.02	16%	8 Apr →
italy	7–13	-0.07	20%	7 Apr →
office	5–13	-0.01	23%	7 Apr →
train	6–13	-0.05	13%	6 Apr →
italy	13–5	-0.08	19%	6 Apr →
italy	9–13	-0.04	13%	6 Apr →
office	5–13	-0.12	9%	6 Apr →
mirage	8–13	-0.11	11%	5 Apr →
dust2	13–6	-0.03	15%	5 Apr →
train	5–13	-0.03	15%	5 Apr →
dust2	10–13	-0.06	8%	1 Apr →