Microsoft Excwel — CS2 Stats

76561198985670861[U:1:1025405133]Steam profile ↗✓ No bans

589Tracked matches63%Win rate2020Tracked since

CSDB Rating4.6 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning33

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLLWLLWWLWW

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

Player DNA

Aim5.2

Aggression4.8

Utility2.2

Positioning3.3

Opening Duels0.3

Clutch2.6

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 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 655ms 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

Aim5.2

Positioning3.3

Utility2.2

Mechanics7.3

Opening Duels0.3

Win Impact9.4

Composite 4.6/10 (Developing), 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 rating-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time649ms+24ms

first ⅓ avg 625ms → last ⅓ avg 649ms

Headshot accuracy18.6%+6.0%

first ⅓ avg 12.6% → last ⅓ avg 18.6%

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

0.13Best rating — nuke 13–4

13–0Biggest win — overpass

10Longest win streak

L2Current streak

5–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 83% over 12nukeWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	9–12	43%	-0.04
ancient	S	19	14–5	74%	-0.03
overpass	B	17	8–9	47%	-0.03
vertigo	C	14	6–8	43%	-0.05
anubis	S	12	10–2	83%	-0.04
nuke	C	10	4–6	40%	-0.01
inferno	—	3	2–1	67%	-0.02
dust2	—	2	1–1	50%	-0.07
thera	—	1	1–0	100%	-0.01
mills	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

92Matches

50%Win rate

0.97Avg K/D

106.5ADR

48%Headshot %

Clutches & streaks

33%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	50%	1.04	16.0
Ancient	10	40%	1.06	12.8
Vertigo	9	33%	0.83	12.3
Anubis	5	60%	1.15	20.0
Inferno	5	80%	1.52	17.2
Nuke	4	25%	1.73	20.0
Dust2	3	67%	1.46	25.7
Overpass	1	100%	0.59	10.0

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.

17.5%Headshot accuracy

30.3%Accuracy (enemy spotted)

32.4%Spray accuracy

83.0%Counter-strafing

10.6°Preaim

655msReaction time

32.1%T opening success

30.2%CT opening success

0.61Enemies flashed / flash

5.5%Flash assists

6.75HE damage / grenade

8.55Flashes / 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 32.0861% — below the 40% mark we flag

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.

40% win rate across 10 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
mirage	8–13	0.09	11%	5 Jul →
nuke	13–16	0.02	19%	21 Mar →
inferno	13–4	0.02	35%	4 Mar →
anubis	3–13	-0.06	6%	14 Feb →
mirage	6–13	-0.10	23%	8 Feb →
anubis	16–12	-0.07	9%	8 Feb →
nuke	13–4	0.13	11%	8 Feb →
vertigo	1–13	-0.10	25%	19 Oct →
mirage	16–14	0.01	5%	17 Sept →
anubis	13–9	-0.01	6%	17 Sept →
ancient	5–1	-0.02	14%	16 Sept →
anubis	16–13	-0.03	15%	15 Sept →
ancient	13–10	-0.03	9%	15 Sept →
dust2	13–7	-0.08	13%	15 Sept →
vertigo	13–4	-0.06	36%	7 Sept →
anubis	13–8	-0.05	11%	6 Sept →
mirage	13–5	-0.10	10%	2 Aug →
anubis	16–13	-0.03	12%	30 Jul →
vertigo	10–13	-0.05	24%	21 Jul →
nuke	9–13	-0.01	22%	20 Jul →
mirage	10–13	-0.07	10%	13 Jul →
mirage	13–4	0.02	32%	13 Jul →
nuke	8–13	-0.07	25%	13 Jul →
thera	13–9	-0.01	15%	2 Jul →
mills	11–13	-0.01	34%	28 Jun →
vertigo	13–7	-0.03	16%	19 Jun →
vertigo	13–2	0.09	18%	17 May →
ancient	13–9	0.01	9%	16 May →
anubis	13–10	-0.04	16%	30 Apr →
dust2	2–13	-0.06	60%	29 Apr →
ancient	8–13	-0.09	16%	23 Apr →
inferno	3–13	-0.08	13%	20 Apr →
ancient	13–2	-0.11	33%	20 Apr →
overpass	13–8	0.07	17%	14 Apr →
nuke	13–4	0.07	21%	27 Mar →
ancient	13–6	-0.06	11%	7 Mar →
overpass	11–13	-0.04	23%	2 Mar →
mirage	5–13	-0.10	4%	25 Feb →
vertigo	10–13	-0.04	18%	24 Feb →
overpass	4–13	-0.08	24%	17 Feb →
overpass	6–9	-0.05	6%	12 Feb →
overpass	13–5	0.06	17%	9 Feb →
mirage	13–9	0.04	18%	8 Feb →
nuke	4–13	0.01	21%	21 Jan →
mirage	11–13	-0.06	16%	8 Jan →
overpass	16–13	-0.07	12%	7 Jan →
inferno	13–9	-0.02	14%	7 Jan →
mirage	6–13	-0.09	9%	21 Nov →
ancient	13–11	0.01	12%	28 Sept →
ancient	5–13	-0.09	13%	27 Sept →
anubis	13–8	-0.04	17%	27 Sept →
overpass	13–0	0.04	15%	27 Sept →
mirage	4–13	-0.12	0%	27 Sept →
ancient	13–9	-0.02	13%	26 Sept →
nuke	13–9	-0.01	2%	26 Sept →
mirage	5–13	-0.10	30%	26 Sept →
overpass	12–9	-0.03	17%	26 Sept →
mirage	13–2	0.02	13%	22 Sept →
nuke	13–9	-0.06	12%	22 Sept →
ancient	16–14	0.03	25%	22 Sept →
vertigo	6–13	-0.10	10%	21 Sept →
mirage	16–14	-0.06	9%	21 Sept →
overpass	13–4	-0.06	11%	21 Sept →
vertigo	9–13	-0.05	26%	20 Sept →
overpass	7–13	-0.05	12%	18 Sept →
overpass	13–8	0.00	15%	18 Sept →
vertigo	3–13	-0.08	19%	18 Sept →
mirage	10–13	-0.09	22%	18 Sept →
overpass	4–13	-0.04	21%	17 Sept →
ancient	13–6	0.07	6%	17 Sept →
overpass	10–13	-0.08	6%	16 Sept →
ancient	9–13	-0.05	27%	16 Sept →
vertigo	13–8	-0.04	11%	16 Sept →
overpass	5–13	-0.05	14%	16 Sept →
nuke	14–16	-0.06	13%	15 Sept →
vertigo	13–7	-0.10	17%	15 Sept →
mirage	4–13	-0.03	0%	15 Sept →
ancient	0–13	-0.11	13%	15 Sept →
overpass	5–7	-0.13	12%	15 Sept →
ancient	13–8	0.01	14%	14 Sept →
anubis	13–9	-0.01	12%	14 Sept →
ancient	13–6	0.01	18%	14 Sept →
anubis	13–7	-0.02	5%	14 Sept →
mirage	13–5	-0.02	13%	14 Sept →
vertigo	15–15	-0.08	16%	13 Sept →
vertigo	13–6	-0.04	12%	13 Sept →
mirage	10–13	-0.07	7%	11 Sept →
vertigo	11–13	-0.03	21%	7 Sept →
mirage	13–1	-0.01	10%	6 Sept →
ancient	8–13	-0.04	23%	5 Sept →
nuke	7–13	-0.07	14%	5 Sept →
overpass	9–13	-0.00	11%	4 Sept →
ancient	13–4	-0.01	9%	4 Sept →
ancient	13–10	-0.06	13%	3 Sept →
anubis	13–6	-0.05	11%	3 Sept →
mirage	3–13	-0.09	4%	3 Sept →
ancient	13–6	-0.04	0%	1 Sept →
mirage	13–5	0.06	14%	1 Sept →
anubis	3–13	-0.02	17%	1 Sept →
overpass	15–15	-0.05	11%	1 Sept →