ntep — CS2 Stats

FI76561199354161083[U:1:1393895355]Steam profile ↗

888Tracked matches36%Win rate2022Tracked since

929Hours in CS4Hrs last 2 wks

CSDB Rating4.6 DevelopingHybrid Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim68

Positioning40

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLLLWWLWWTL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.8

Aggression5.2

Utility6.2

Positioning4.0

Opening Duels1.2

Clutch4.2

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 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

Reaction time. 629ms 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

Aim6.8

Positioning4.0

Utility6.2

Mechanics6.4

Opening Duels1.4

Win Impact0.2

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time625ms−7ms

first ⅓ avg 633ms → last ⅓ avg 625ms

Headshot accuracy26.0%−0.6%

first ⅓ avg 26.5% → last ⅓ avg 26.0%

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

0.09Best rating — anubis 10–13

13–1Biggest win — mirage

5Longest win streak

L3Current streak

7–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 0% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	27	8–19	30%	-0.02
dust2	A	20	11–9	55%	-0.01
ancient	C	14	6–8	43%	-0.00
anubis	A	14	9–5	64%	-0.00
inferno	D	12	0–12	0%	-0.02
overpass	S	5	4–1	80%	-0.03
cache	—	4	2–2	50%	0.01
poseidon	—	1	1–0	100%	-0.03
boulder	—	1	1–0	100%	-0.11
train	—	1	0–1	0%	-0.06
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,993Lifetime kills

0.80K/D

1,144Matches

48.8%Match win rate · Top 50% of tracked players

61.7%Headshot % · Top 10% of tracked players

7.0%Shot accuracy

2,721MVPs

507Hours (in match)

1,632Bombs planted

311Bombs defused

Most-used weapons

AK-4710,108

M4A4 / M4A1-S3,444

Desert Eagle3,084

AWP1,963

P2000 / USP-S1,742

Glock-181,007

MP9534

Knife454

SSG 08295

Galil AR260

Lifetime map wins

1,497dust2

1,208inferno

524vertigo

420train

271nuke

91lake

17cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

419Matches

53%Win rate

1.20Avg K/D

81.5ADR

55%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

14Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	140	58%	1.26	17.2
Anubis	67	51%	1.28	15.2
Dust2	56	55%	1.10	16.1
Ancient	56	55%	1.05	15.8
Inferno	35	43%	1.16	17.1
Train	24	46%	1.27	17.9
Nuke	11	18%	0.80	13.3
Vertigo	3	0%	0.61	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.

25.2%Headshot accuracy

30.2%Accuracy (enemy spotted)

36.1%Spray accuracy

78.8%Counter-strafing

9.4°Preaim

629msReaction time

28.4%T opening success

41.3%CT opening success

0.70Enemies flashed / flash

5.1%Flash assists

11.30HE damage / grenade

9.55Flashes / 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 28.3935% — below the 40% mark we flag

Spend your practice time on Inferno

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

0% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–16	-0.00	29%	28 Aug →
inferno	4–13	-0.01	29%	28 Aug →
mirage	9–13	0.01	25%	24 Aug →
dust2	13–2	0.07	54%	6 Aug →
dust2	13–8	-0.01	30%	5 Aug →
anubis	10–13	0.02	27%	4 Aug →
cache	13–11	0.07	38%	2 Aug →
mirage	13–1	0.07	16%	31 Jul →
dust2	12–12	-0.02	26%	31 Jul →
mirage	6–13	-0.01	21%	28 Jul →
anubis	13–6	-0.03	30%	28 Jul →
cache	7–13	-0.03	20%	16 Jul →
ancient	4–13	0.02	29%	16 Jul →
poseidon	9–7	-0.03	33%	15 Jul →
boulder	13–10	-0.11	8%	9 Jul →
inferno	7–13	-0.01	24%	8 Jul →
mirage	4–13	-0.07	7%	7 Jul →
dust2	9–13	-0.05	29%	7 Jul →
mirage	4–13	-0.02	18%	4 Jul →
dust2	10–13	0.00	28%	4 Jul →
mirage	10–13	-0.10	17%	3 Jul →
dust2	13–7	0.03	29%	3 Jul →
ancient	12–12	0.01	35%	2 Jul →
anubis	13–3	0.01	14%	2 Jul →
inferno	10–13	0.08	31%	2 Jul →
mirage	6–10	-0.10	13%	2 Jul →
dust2	13–7	-0.02	23%	2 Jul →
train	9–13	-0.06	24%	1 Jul →
anubis	13–8	0.08	29%	1 Jul →
mirage	7–13	-0.04	15%	1 Jul →
cache	2–13	-0.01	38%	1 Jul →
ancient	11–13	0.03	36%	30 Jun →
ancient	13–6	0.04	36%	30 Jun →
anubis	13–9	-0.01	35%	30 Jun →
vertigo	5–13	-0.07	13%	29 Jun →
dust2	13–2	-0.02	23%	29 Jun →
mirage	12–12	0.01	29%	29 Jun →
mirage	14–16	0.02	41%	28 Jun →
mirage	13–6	0.01	39%	28 Jun →
ancient	13–5	0.09	24%	28 Jun →
dust2	13–8	0.01	31%	23 Jun →
cache	13–11	0.02	31%	23 Jun →
dust2	13–7	0.04	23%	22 Jun →
mirage	2–13	-0.07	14%	22 Jun →
anubis	13–5	0.01	44%	22 Jun →
anubis	13–9	-0.03	28%	3 Apr →
anubis	13–11	0.04	28%	29 Mar →
overpass	13–6	-0.02	31%	23 Mar →
anubis	13–6	-0.00	27%	23 Mar →
inferno	11–13	-0.06	22%	8 Mar →
mirage	13–1	-0.02	18%	8 Mar →
mirage	8–13	-0.04	41%	8 Mar →
inferno	1–5	0.04	50%	8 Mar →
inferno	4–9	-0.11	31%	5 Mar →
inferno	3–9	-0.14	20%	3 Mar →
dust2	13–4	-0.02	18%	3 Mar →
mirage	8–13	-0.06	48%	3 Mar →
ancient	6–13	-0.06	13%	2 Mar →
inferno	6–10	0.08	18%	27 Feb →
mirage	8–13	-0.00	35%	27 Feb →
ancient	7–13	-0.08	29%	25 Nov →
mirage	8–13	-0.06	31%	21 Nov →
dust2	4–13	0.01	30%	18 Nov →
mirage	7–13	-0.03	32%	17 Nov →
inferno	13–16	-0.01	30%	16 Nov →
mirage	13–10	0.05	32%	16 Nov →
mirage	7–13	0.00	34%	15 Nov →
inferno	15–19	0.01	20%	5 Sept →
dust2	0–13	-0.08	0%	2 Sept →
mirage	0–13	-0.10	0%	31 Aug →
overpass	13–7	-0.07	19%	26 Aug →
ancient	6–13	-0.05	27%	25 Aug →
anubis	2–13	-0.09	27%	25 Aug →
dust2	10–13	-0.01	26%	23 Aug →
mirage	13–10	0.02	32%	23 Aug →
ancient	13–6	-0.05	33%	23 Aug →
anubis	10–13	0.09	31%	23 Aug →
inferno	9–13	-0.03	23%	18 Aug →
ancient	13–11	0.03	31%	14 Aug →
dust2	3–13	-0.08	22%	14 Aug →
ancient	13–7	0.08	40%	7 Aug →
mirage	6–13	0.00	25%	6 Aug →
overpass	13–6	-0.02	21%	3 Aug →
dust2	7–13	-0.03	21%	3 Aug →
overpass	13–8	0.00	24%	31 Jul →
mirage	13–11	0.05	31%	27 Jul →
inferno	9–13	-0.03	47%	25 Jul →
overpass	5–13	-0.06	23%	22 Jul →
dust2	4–8	-0.03	25%	21 Jul →
mirage	13–7	-0.10	10%	21 Jul →
dust2	13–10	-0.00	33%	17 Jul →
ancient	13–5	-0.01	50%	16 Jul →
dust2	13–6	0.00	29%	14 Jul →
ancient	2–13	-0.07	13%	12 Jul →
anubis	6–13	-0.07	23%	12 Jul →
dust2	13–11	0.03	39%	12 Jul →
anubis	5–13	-0.06	37%	10 Jul →
mirage	13–10	-0.01	31%	9 Jul →
mirage	3–7	-0.01	18%	9 Jul →
anubis	13–1	0.02	44%	9 Jul →