Mankind — CS2 Stats

76561197962223882[U:1:1958154]

1,456Tracked matches55%Win rate2022Tracked since

CSDB Rating4.8 Developing

Premier CS Rating21,571Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning45

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLWWLWLWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.9

Aggression3.2

Utility4.7

Positioning4.5

Opening Duels0.0

Clutch3.6

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 37% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9

Positioning4.5

Utility4.7

Mechanics4.0

Opening Duels0.9

Win Impact6.7

Composite 4.8/10 (Developing), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time545ms−47ms

first ⅓ avg 592ms → last ⅓ avg 545ms

Headshot accuracy16.6%+1.0%

first ⅓ avg 15.6% → last ⅓ avg 16.6%

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

0.20Best rating — inferno 9–6

13–3Biggest win — cache

8Longest win streak

6–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 82% over 11dust2Weakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	18	10–8	56%	0.02
nuke	A	16	10–6	63%	0.01
anubis	C	14	6–8	43%	0.02
ancient	C	12	5–7	42%	0.00
cache	S	11	9–2	82%	0.01
mirage	S	7	5–2	71%	-0.01
dust2	D	7	2–5	29%	-0.02
vertigo	C	5	2–3	40%	-0.01
overpass	A	5	3–2	60%	0.03
train	—	4	0–4	0%	-0.01
office	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

358Matches

52%Win rate

1.01Avg K/D

71.6ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	104	49%	0.95	14.0
Vertigo	67	60%	1.11	15.1
Ancient	52	44%	0.98	14.2
Inferno	46	43%	1.06	14.5
Nuke	39	62%	1.06	14.0
Mirage	19	53%	0.87	13.6
Dust2	15	40%	0.83	11.8
Overpass	10	70%	1.02	14.9

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.

16.0%Headshot accuracy

30.0%Accuracy (enemy spotted)

33.8%Spray accuracy

67.8%Counter-strafing

7.7°Preaim

540msReaction time

19.3%T opening success

37.2%CT opening success

0.49Enemies flashed / flash

4.0%Flash assists

7.51HE damage / grenade

7.38Flashes / 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 0.4947 — below the 0.5 mark we flag
Grenade Lineups →
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 19.3471% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.04	12%	28 Aug →
anubis	5–13	-0.00	19%	28 Aug →
mirage	13–10	-0.00	11%	28 Aug →
cache	13–6	-0.01	18%	27 Aug →
nuke	2–13	-0.06	15%	27 Aug →
cache	13–5	0.11	6%	27 Aug →
inferno	8–13	-0.01	13%	24 Aug →
cache	13–6	-0.01	18%	24 Aug →
inferno	7–1	0.15	8%	24 Aug →
vertigo	7–13	0.00	13%	20 Aug →
ancient	13–8	0.07	23%	20 Aug →
dust2	13–9	-0.01	17%	20 Aug →
nuke	9–13	0.02	13%	19 Aug →
cache	13–3	-0.00	14%	18 Aug →
inferno	13–4	0.01	12%	17 Aug →
ancient	2–13	-0.01	11%	13 Aug →
train	5–13	0.01	18%	13 Aug →
train	12–12	0.08	8%	12 Aug →
inferno	13–6	0.03	31%	12 Aug →
inferno	9–13	-0.05	10%	7 Aug →
cache	13–5	0.01	13%	7 Aug →
inferno	7–13	-0.00	15%	7 Aug →
vertigo	13–11	-0.03	24%	6 Aug →
inferno	13–3	0.14	27%	6 Aug →
inferno	8–13	-0.05	11%	5 Aug →
dust2	4–13	-0.07	26%	1 Aug →
anubis	4–13	-0.05	22%	28 Jul →
ancient	4–13	-0.10	18%	28 Jul →
nuke	13–9	-0.04	15%	28 Jul →
anubis	13–11	0.07	19%	28 Jul →
cache	7–13	-0.04	27%	28 Jul →
anubis	13–3	0.08	21%	28 Jul →
ancient	16–13	0.01	22%	23 Jul →
nuke	13–10	-0.01	17%	23 Jul →
nuke	16–14	0.00	18%	22 Jul →
cache	13–6	0.03	24%	22 Jul →
inferno	9–6	0.20	32%	22 Jul →
inferno	13–4	0.06	19%	17 Jul →
mirage	13–4	0.04	12%	17 Jul →
nuke	7–13	-0.01	13%	15 Jul →
cache	6–13	-0.02	11%	15 Jul →
ancient	13–10	0.05	13%	15 Jul →
office	13–8	0.02	21%	12 Jul →
cache	13–9	0.04	18%	6 Jul →
mirage	8–13	-0.01	14%	26 Jun →
anubis	13–11	-0.01	7%	25 Jun →
nuke	13–7	-0.04	6%	25 Jun →
inferno	13–8	0.01	13%	25 Jun →
nuke	13–9	-0.04	12%	24 Jun →
anubis	13–7	0.02	16%	24 Jun →
nuke	13–10	0.06	14%	23 Jun →
inferno	20–22	0.01	18%	23 Jun →
ancient	2–13	-0.03	11%	23 Jun →
ancient	13–10	-0.04	15%	22 Jun →
dust2	16–12	-0.01	19%	22 Jun →
overpass	5–13	0.01	20%	22 Jun →
anubis	9–13	-0.02	9%	21 Jun →
ancient	6–13	0.00	28%	21 Jun →
overpass	13–7	0.10	16%	20 Jun →
train	12–12	-0.07	10%	19 Jun →
train	6–13	-0.05	21%	18 Jun →
anubis	9–13	-0.02	11%	16 Jun →
inferno	8–13	0.02	23%	16 Jun →
dust2	7–13	-0.03	13%	16 Jun →
mirage	13–4	-0.02	7%	15 Jun →
anubis	7–13	-0.04	6%	15 Jun →
cache	13–10	0.05	20%	14 Jun →
nuke	13–8	-0.00	18%	14 Jun →
anubis	13–6	0.13	18%	12 Jun →
mirage	9–13	-0.09	19%	12 Jun →
overpass	13–11	0.06	15%	12 Jun →
anubis	9–13	0.03	11%	12 Jun →
mirage	13–4	0.02	17%	12 Jun →
inferno	13–10	0.01	22%	12 Jun →
dust2	6–13	-0.00	4%	12 Jun →
ancient	13–16	-0.01	24%	11 Jun →
ancient	6–13	-0.01	13%	11 Jun →
anubis	10–13	0.08	19%	10 Jun →
ancient	13–7	0.10	13%	10 Jun →
ancient	3–13	-0.00	14%	9 Jun →
nuke	13–8	0.01	16%	9 Jun →
vertigo	5–13	0.03	29%	9 Jun →
vertigo	4–13	-0.03	21%	9 Jun →
overpass	13–10	-0.00	13%	5 Jun →
mirage	13–8	-0.01	19%	5 Jun →
anubis	11–13	-0.02	14%	4 Jun →
nuke	9–13	0.04	14%	4 Jun →
overpass	5–13	-0.03	13%	4 Jun →
dust2	12–16	-0.03	13%	4 Jun →
vertigo	13–5	-0.00	11%	3 Jun →
inferno	8–8	-0.08	9%	28 May →
anubis	13–9	-0.02	14%	28 May →
nuke	13–8	-0.01	8%	26 May →
cache	13–8	0.01	8%	26 May →
inferno	13–9	0.04	15%	26 May →
nuke	12–16	0.06	19%	23 May →
inferno	11–13	0.00	16%	23 May →
nuke	6–13	-0.04	15%	22 May →
dust2	13–16	-0.02	24%	22 May →
nuke	13–4	0.13	16%	20 May →