-nils — CS2 Stats

SE76561198080981205[U:1:120715477]Steam profile ↗✓ No bans

7,438Tracked matches50%Win rate2023Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10 · 2,501 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning64

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLLWWLLWLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.7

Aggression8.7

Utility6.1

Positioning6.4

Opening Duels4.4

Clutch3.4

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 93% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

T-side openings. Opening success drops from 59% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim7.7

Positioning6.4

Utility6.1

Mechanics5.0

Opening Duels4.4

Win Impact5.0

Composite 6.3/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time582ms+1ms

first ⅓ avg 582ms → last ⅓ avg 582ms

Headshot accuracy20.0%−1.5%

first ⅓ avg 21.5% → last ⅓ avg 20.0%

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

0.10Best rating — ancient 13–2

13–2Biggest win — nuke

4Longest win streak

L3Current streak

10–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 67% over 9nukeWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	32	14–18	44%	0.00
mirage	B	16	8–8	50%	-0.01
nuke	D	14	4–10	29%	0.00
inferno	A	11	7–4	64%	0.01
overpass	S	9	6–3	67%	-0.02
anubis	B	8	4–4	50%	-0.04
dust2	A	5	3–2	60%	-0.00
train	—	4	3–1	75%	-0.00
cache	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,585Matches

50%Win rate

1.07Avg K/D

78.3ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

18Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1455	52%	1.12	16.4
Mirage	1047	47%	1.00	15.3
Anubis	1025	52%	1.11	16.5
Inferno	604	50%	1.06	16.0
Nuke	574	49%	1.09	16.3
Vertigo	388	47%	1.03	15.7
Overpass	323	53%	1.14	16.9
Dust2	237	38%	0.96	14.8

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.

18.5%Headshot accuracy

39.2%Accuracy (enemy spotted)

46.1%Spray accuracy

72.6%Counter-strafing

10.5°Preaim

573msReaction time

36.0%T opening success

59.2%CT opening success

0.61Enemies flashed / flash

9.6%Flash assists

8.48HE damage / grenade

10.99Flashes / 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 36.0057% — 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.

29% win rate across 14 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
anubis	10–13	-0.01	24%	29 Aug →
mirage	4–13	-0.03	24%	25 Aug →
ancient	9–13	-0.02	30%	23 Aug →
mirage	13–11	-0.06	6%	22 Aug →
mirage	16–13	0.01	15%	19 Aug →
ancient	6–13	-0.06	22%	18 Aug →
inferno	11–13	-0.03	10%	7 Aug →
anubis	13–11	-0.06	15%	1 Aug →
cache	8–13	0.00	15%	31 Jul →
inferno	13–10	-0.02	31%	29 Jul →
ancient	13–8	0.02	20%	29 Jul →
anubis	19–16	-0.01	18%	29 Jul →
inferno	20–22	-0.03	21%	18 May →
overpass	13–7	-0.04	23%	3 May →
ancient	13–9	0.05	17%	29 Apr →
nuke	13–7	0.07	16%	19 Apr →
nuke	2–13	-0.06	16%	14 Apr →
nuke	10–13	-0.04	4%	13 Apr →
anubis	13–7	-0.03	16%	13 Apr →
ancient	8–13	-0.00	20%	11 Apr →
nuke	7–13	0.01	35%	11 Apr →
inferno	19–16	0.03	15%	8 Apr →
anubis	11–13	-0.08	23%	4 Apr →
ancient	13–10	-0.01	17%	1 Apr →
nuke	8–13	-0.02	9%	1 Apr →
mirage	12–16	-0.09	6%	27 Mar →
overpass	13–8	-0.07	18%	25 Mar →
ancient	13–8	0.02	19%	25 Mar →
overpass	16–13	-0.01	26%	16 Mar →
ancient	1–13	0.01	34%	12 Mar →
nuke	1–13	-0.02	41%	6 Mar →
inferno	13–5	0.09	31%	27 Feb →
ancient	11–13	0.01	22%	27 Feb →
ancient	13–16	-0.02	13%	24 Feb →
mirage	11–13	0.04	20%	24 Feb →
nuke	13–11	-0.02	28%	23 Feb →
nuke	11–13	0.02	19%	21 Feb →
ancient	13–10	0.01	18%	21 Feb →
ancient	13–11	-0.01	24%	18 Feb →
ancient	7–13	-0.03	22%	9 Feb →
ancient	6–13	0.06	18%	7 Feb →
ancient	4–13	-0.00	17%	7 Feb →
mirage	11–13	0.04	16%	6 Feb →
mirage	13–5	-0.01	12%	31 Jan →
mirage	13–4	0.00	13%	31 Jan →
mirage	13–6	0.05	24%	27 Jan →
anubis	3–13	-0.05	6%	23 Jan →
ancient	13–10	0.00	20%	18 Jan →
mirage	9–13	-0.03	31%	18 Jan →
anubis	8–13	-0.01	12%	16 Jan →
mirage	13–8	-0.05	11%	14 Jan →
inferno	13–6	-0.00	11%	11 Jan →
anubis	13–11	-0.06	15%	11 Jan →
overpass	16–12	0.06	13%	7 Jan →
overpass	10–13	-0.04	24%	6 Jan →
dust2	10–13	-0.02	11%	5 Jan →
ancient	16–13	0.04	23%	5 Jan →
overpass	13–4	-0.04	15%	5 Jan →
ancient	13–10	-0.04	19%	4 Jan →
nuke	28–24	-0.01	21%	3 Jan →
mirage	3–13	-0.02	28%	1 Jan →
dust2	6–13	-0.02	12%	1 Jan →
ancient	8–13	-0.04	15%	30 Dec →
overpass	13–16	-0.01	14%	30 Dec →
dust2	13–11	-0.01	23%	30 Dec →
ancient	9–13	-0.05	23%	28 Dec →
ancient	13–7	0.06	10%	25 Dec →
dust2	13–10	-0.03	22%	23 Dec →
inferno	13–16	0.00	18%	21 Dec →
ancient	7–13	0.09	8%	21 Dec →
dust2	13–11	0.07	32%	20 Dec →
train	13–5	0.01	7%	16 Dec →
inferno	13–4	0.10	26%	16 Dec →
inferno	13–4	0.03	14%	16 Dec →
ancient	8–13	-0.00	17%	14 Dec →
overpass	3–13	0.01	40%	12 Dec →
nuke	10–13	-0.00	23%	11 Dec →
mirage	3–13	-0.07	10%	9 Dec →
ancient	13–6	-0.00	26%	7 Dec →
ancient	13–11	0.03	22%	6 Dec →
train	14–16	-0.03	13%	4 Dec →
train	13–7	0.07	30%	4 Dec →
ancient	7–13	-0.03	18%	30 Nov →
mirage	7–13	-0.02	31%	29 Nov →
mirage	13–9	0.06	20%	28 Nov →
inferno	9–13	0.02	19%	20 Nov →
ancient	7–13	-0.01	23%	19 Nov →
ancient	13–11	-0.00	23%	18 Nov →
ancient	5–13	-0.02	12%	16 Nov →
ancient	11–13	-0.02	13%	16 Nov →
nuke	8–13	-0.01	45%	14 Nov →
nuke	10–13	-0.01	21%	13 Nov →
overpass	13–5	-0.01	15%	11 Nov →
nuke	13–2	0.09	30%	8 Nov →
mirage	13–11	-0.03	19%	8 Nov →
inferno	13–4	-0.07	12%	8 Nov →
ancient	10–12	-0.04	19%	7 Nov →
nuke	11–13	0.02	18%	6 Nov →
train	13–10	-0.05	26%	1 Nov →
ancient	13–2	0.10	38%	30 Oct →