Nottie — CS2 Stats

FI76561197988636200[U:1:28370472]Steam profile ↗✓ No bans

1,412Tracked matches43%Win rate2020Tracked since

CSDB Rating3.7 LearningSupport

Premier CS Rating20,436Top 50% of 29,473 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#20098 of 56596 tracked

FaceitLevel 8 · 1,376 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim40

Positioning36

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLLLWLWLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.0

Aggression1.7

Utility7.3

Positioning3.6

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 Twistzz 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim4.0

Positioning3.6

Utility7.3

Mechanics2.0

Opening Duels0.0

Win Impact2.8

Composite 3.7/10 (Learning), 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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time561ms−73ms

first ⅓ avg 634ms → last ⅓ avg 561ms

Headshot accuracy11.1%−1.1%

first ⅓ avg 12.2% → last ⅓ avg 11.1%

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

0.08Best rating — cache 11–13

13–2Biggest win — dust2

5Longest win streak

L4Current streak

12–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 70% over 10ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	-0.02
nuke	B	17	8–9	47%	-0.03
dust2	A	16	10–6	63%	-0.02
inferno	B	15	7–8	47%	-0.02
cache	S	10	7–3	70%	0.00
ancient	D	8	2–6	25%	-0.02
anubis	B	6	3–3	50%	-0.02
overpass	—	4	4–0	100%	0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,154Matches

52%Win rate

1.00Avg K/D

74.0ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

12%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	70	44%	0.89	13.7
Inferno	59	47%	0.84	14.3
Nuke	53	60%	0.92	13.6
Ancient	52	54%	0.95	13.5
Dust2	49	67%	0.95	13.3
Anubis	32	56%	0.94	14.9
Train	8	25%	0.84	14.6
Overpass	5	40%	0.96	14.6

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.

10.8%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.9%Spray accuracy

59.2%Counter-strafing

12.0°Preaim

559msReaction time

22.1%T opening success

26.1%CT opening success

0.59Enemies flashed / flash

5.3%Flash assists

10.21HE damage / grenade

13.22Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.8185% — below the 15% mark we flag
Aim Training →
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 22.0604% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	1–8	-0.00	6%	29 Aug →
mirage	7–13	-0.11	11%	29 Aug →
nuke	5–13	-0.12	8%	28 Aug →
mirage	4–13	-0.11	19%	28 Aug →
inferno	22–20	-0.04	13%	28 Aug →
mirage	6–13	-0.08	3%	28 Aug →
dust2	13–7	0.03	10%	28 Aug →
ancient	6–13	-0.04	12%	28 Aug →
mirage	13–3	0.03	8%	28 Aug →
cache	13–11	-0.01	9%	28 Aug →
inferno	11–13	-0.05	11%	14 Aug →
anubis	8–13	-0.04	6%	11 Aug →
inferno	11–13	-0.04	5%	11 Aug →
cache	13–11	-0.01	7%	11 Aug →
cache	13–6	0.02	15%	11 Aug →
nuke	10–13	-0.01	11%	11 Aug →
ancient	13–10	-0.04	7%	8 Aug →
nuke	13–5	0.00	6%	7 Aug →
cache	11–13	0.08	8%	2 Aug →
mirage	12–16	-0.04	20%	1 Aug →
nuke	16–13	-0.02	12%	1 Aug →
dust2	13–2	0.01	11%	1 Aug →
anubis	6–13	-0.05	8%	1 Aug →
mirage	13–5	-0.00	13%	1 Aug →
inferno	13–2	-0.00	13%	1 Aug →
nuke	13–2	0.05	14%	1 Aug →
dust2	6–13	0.04	13%	31 Jul →
mirage	8–13	-0.03	13%	31 Jul →
ancient	8–13	0.04	13%	31 Jul →
cache	10–13	-0.04	17%	31 Jul →
ancient	13–8	-0.07	11%	31 Jul →
mirage	12–16	-0.07	12%	31 Jul →
inferno	8–13	-0.02	26%	31 Jul →
dust2	5–13	-0.10	7%	31 Jul →
dust2	13–9	-0.05	21%	27 Jul →
mirage	5–13	-0.03	11%	27 Jul →
mirage	13–5	0.04	20%	27 Jul →
dust2	13–8	-0.04	13%	27 Jul →
inferno	16–14	0.02	17%	27 Jul →
mirage	13–8	-0.02	16%	16 Jul →
dust2	13–4	0.03	15%	16 Jul →
ancient	9–13	-0.04	8%	16 Jul →
cache	13–11	0.01	19%	16 Jul →
nuke	6–13	-0.02	11%	16 Jul →
anubis	13–8	0.06	16%	16 Jul →
mirage	9–13	-0.01	8%	16 Jul →
nuke	13–4	0.01	17%	14 Jul →
inferno	13–3	0.04	5%	14 Jul →
mirage	11–13	0.06	5%	11 Jul →
dust2	13–10	0.00	11%	11 Jul →
cache	13–11	-0.02	7%	10 Jul →
dust2	13–10	-0.03	9%	10 Jul →
mirage	13–7	-0.06	6%	10 Jul →
mirage	14–16	-0.03	10%	10 Jul →
nuke	13–4	0.01	11%	10 Jul →
cache	11–13	-0.01	9%	10 Jul →
dust2	3–13	-0.07	18%	10 Jul →
dust2	13–9	-0.03	7%	8 Jul →
mirage	13–8	0.06	8%	3 Jul →
dust2	16–13	-0.04	9%	3 Jul →
mirage	13–9	0.01	15%	3 Jul →
ancient	5–13	-0.06	14%	3 Jul →
inferno	7–13	-0.04	6%	3 Jul →
nuke	13–4	-0.02	12%	3 Jul →
mirage	3–13	-0.01	13%	3 Jul →
inferno	4–13	-0.05	8%	2 Jul →
overpass	13–4	0.02	21%	2 Jul →
mirage	13–2	0.02	12%	2 Jul →
dust2	13–16	0.01	10%	2 Jul →
mirage	16–13	-0.01	15%	2 Jul →
dust2	13–3	-0.00	25%	2 Jul →
overpass	13–7	0.06	14%	1 Jul →
overpass	13–8	-0.01	9%	1 Jul →
nuke	6–13	-0.07	20%	17 Jun →
mirage	8–13	-0.04	18%	17 Jun →
nuke	6–13	-0.14	3%	17 Jun →
anubis	13–11	-0.06	6%	17 Jun →
mirage	13–3	-0.05	5%	17 Jun →
nuke	13–10	-0.00	10%	17 Jun →
overpass	13–11	-0.03	18%	17 Jun →
nuke	8–13	0.01	9%	17 Jun →
cache	13–6	0.03	13%	17 Jun →
mirage	13–6	0.03	23%	17 Jun →
inferno	16–13	0.00	13%	10 Jun →
dust2	9–13	-0.04	14%	6 Jun →
nuke	13–8	-0.01	9%	5 Jun →
inferno	10–13	-0.06	13%	5 Jun →
mirage	7–13	-0.03	14%	5 Jun →
dust2	2–13	0.02	27%	5 Jun →
inferno	13–11	-0.01	8%	5 Jun →
inferno	7–13	-0.05	7%	4 Jun →
nuke	15–15	-0.04	5%	4 Jun →
cache	13–11	-0.02	13%	29 May →
nuke	6–13	-0.03	6%	29 May →
ancient	7–13	-0.01	12%	29 May →
inferno	6–13	-0.08	7%	29 May →
nuke	2–13	-0.09	5%	29 May →
inferno	3–2	0.04	17%	29 May →
anubis	13–11	-0.06	5%	27 May →
ancient	7–13	0.05	18%	15 May →