Nightwing_J — CS2 Stats

US76561198828545061[U:1:868279333]Steam profile ↗✓ No bans

1,330Tracked matches48%Win rate2020Tracked since

3,207Hours in CS

CSDB Rating3.7 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning41

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLLLLWLWWW

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

Player DNA

Aim3.3

Aggression3.3

Utility5.4

Positioning4.1

Opening Duels0.3

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 76% 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 41% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 729ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.3

Positioning4.1

Utility5.4

Mechanics3.4

Opening Duels1.4

Win Impact4.4

Composite 3.7/10 (Learning), 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-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time733ms+88ms

first ⅓ avg 644ms → last ⅓ avg 733ms

Headshot accuracy20.4%+0.4%

first ⅓ avg 20.0% → last ⅓ avg 20.4%

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

0.11Best rating — inferno 13–2

13–0Biggest win — dust2

6Longest win streak

6–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 75% over 8anubisWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	14–20	41%	-0.03
inferno	B	24	12–12	50%	-0.02
anubis	C	15	6–9	40%	-0.00
ancient	A	12	7–5	58%	-0.03
dust2	S	8	6–2	75%	-0.02
cache	—	2	0–2	0%	-0.06
nuke	—	2	1–1	50%	-0.06
vertigo	—	2	1–1	50%	-0.03
train	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,990Lifetime kills

0.96K/D

4,762Matches

34.8%Match win rate

50.4%Headshot % · Top 50% of tracked players

19.7%Shot accuracy · Top 5% of tracked players

7,433MVPs

3,207Hours (in match)

5,308Bombs planted

840Bombs defused

Most-used weapons

SG 55332,800

AK-4723,113

AUG21,436

AWP11,510

M4A4 / M4A1-S7,767

Desert Eagle3,689

MP73,438

P2000 / USP-S3,083

Galil AR2,484

MP92,152

Lifetime map wins

14,150inferno

2,238dust2

1,765nuke

446vertigo

167train

11cbble

4lake

1stmarc

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

Faceit stats

Combat

1,451Matches

49%Win rate

0.96Avg K/D

71.2ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	78	55%	0.88	14.0
Inferno	60	45%	0.93	13.9
Anubis	32	41%	0.91	15.2
Ancient	30	50%	0.90	14.3
Dust2	16	44%	0.81	12.0
Nuke	4	75%	0.52	8.8
Vertigo	3	33%	0.96	14.0
Train	3	33%	0.78	12.7

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.

20.6%Headshot accuracy

29.6%Accuracy (enemy spotted)

36.9%Spray accuracy

65.5%Counter-strafing

12.2°Preaim

729msReaction time

21.7%T opening success

40.9%CT opening success

0.82Enemies flashed / flash

5.1%Flash assists

9.42HE damage / grenade

4.88Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.162° — above the 12° mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 729.3ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Anubis

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 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	0.00	18%	13 Aug →
mirage	6–13	-0.03	19%	13 Aug →
mirage	11–13	-0.03	22%	13 Aug →
mirage	8–13	-0.01	21%	12 Aug →
cache	6–13	-0.07	6%	11 Aug →
ancient	13–4	0.06	21%	10 Aug →
dust2	7–13	0.01	25%	10 Aug →
inferno	13–2	0.11	27%	9 Aug →
inferno	13–11	0.06	20%	8 Aug →
dust2	13–9	-0.04	14%	8 Aug →
inferno	13–10	0.00	23%	7 Aug →
dust2	13–6	0.02	22%	7 Aug →
dust2	7–13	-0.10	13%	7 Aug →
mirage	11–13	-0.07	35%	7 Aug →
mirage	10–13	-0.03	25%	6 Aug →
ancient	13–16	-0.04	25%	6 Aug →
dust2	13–0	0.09	23%	16 Jul →
mirage	15–15	-0.06	19%	16 Jul →
mirage	10–13	-0.05	19%	11 Jul →
ancient	13–7	-0.01	18%	11 Jul →
cache	8–13	-0.05	15%	10 Jul →
mirage	11–13	-0.02	27%	10 Jul →
inferno	13–7	-0.04	29%	3 Jul →
mirage	13–10	-0.04	10%	28 Jun →
mirage	11–13	0.00	20%	28 Jun →
mirage	13–10	0.03	13%	28 Jun →
dust2	13–9	-0.04	21%	28 Jun →
inferno	6–13	-0.06	31%	28 Jun →
mirage	8–13	-0.06	18%	28 Jun →
nuke	13–8	-0.03	20%	30 May →
ancient	13–9	-0.08	15%	28 Feb →
mirage	13–1	-0.05	12%	28 Feb →
train	13–3	0.00	27%	28 Feb →
ancient	7–13	-0.02	14%	26 Feb →
inferno	13–9	-0.05	23%	20 Feb →
mirage	9–13	-0.06	7%	17 Feb →
inferno	8–13	-0.01	25%	15 Feb →
mirage	9–13	-0.05	10%	15 Feb →
mirage	16–14	0.02	30%	15 Feb →
inferno	8–13	0.03	24%	13 Feb →
mirage	11–13	-0.07	11%	13 Feb →
anubis	13–11	0.04	15%	11 Feb →
mirage	13–6	-0.01	20%	7 Feb →
inferno	6–13	-0.11	19%	5 Feb →
inferno	13–9	-0.00	14%	4 Feb →
ancient	13–4	-0.04	16%	1 Feb →
mirage	10–13	-0.06	16%	1 Feb →
anubis	5–13	-0.03	15%	1 Feb →
mirage	13–4	-0.04	24%	1 Feb →
mirage	13–10	-0.02	24%	1 Feb →
anubis	13–5	0.00	16%	1 Feb →
mirage	13–11	-0.05	13%	31 Jan →
inferno	13–4	0.00	40%	31 Jan →
mirage	13–5	-0.09	33%	31 Jan →
mirage	11–13	-0.03	17%	31 Jan →
anubis	13–10	-0.01	24%	30 Jan →
anubis	15–15	-0.04	28%	29 Jan →
mirage	13–3	-0.01	14%	29 Jan →
inferno	14–16	-0.04	26%	29 Jan →
mirage	13–8	-0.03	24%	29 Jan →
inferno	7–13	-0.02	30%	28 Jan →
mirage	5–13	0.00	29%	28 Jan →
anubis	10–13	-0.00	27%	27 Jan →
mirage	13–16	-0.06	29%	17 Jan →
inferno	13–5	-0.03	11%	15 Jan →
mirage	13–5	-0.09	18%	15 Jan →
anubis	12–16	-0.01	19%	7 Dec →
inferno	8–13	-0.01	14%	6 Dec →
ancient	11–13	-0.04	18%	6 Dec →
inferno	13–5	0.07	28%	4 Dec →
mirage	5–13	-0.04	27%	27 Nov →
anubis	11–13	-0.02	25%	27 Nov →
vertigo	6–13	-0.04	21%	14 Nov →
anubis	9–13	-0.07	12%	17 Oct →
ancient	16–13	0.02	18%	15 Oct →
mirage	13–2	0.02	21%	15 Oct →
mirage	8–13	-0.05	25%	8 Oct →
nuke	2–13	-0.09	37%	8 Oct →
anubis	9–13	0.01	17%	8 Oct →
ancient	8–3	-0.01	20%	8 Oct →
inferno	13–1	0.02	11%	8 Oct →
inferno	11–13	-0.04	11%	5 Oct →
mirage	7–13	-0.02	18%	5 Oct →
anubis	4–13	-0.07	7%	5 Oct →
inferno	13–9	-0.08	19%	4 Oct →
dust2	13–6	-0.07	14%	4 Oct →
mirage	16–14	-0.04	22%	4 Oct →
inferno	7–13	0.03	22%	26 Sept →
ancient	8–13	-0.05	20%	24 Sept →
ancient	3–13	-0.12	17%	21 Sept →
anubis	13–8	0.09	17%	21 Sept →
anubis	13–7	-0.03	13%	18 Sept →
dust2	13–11	-0.01	26%	14 Sept →
inferno	13–7	0.08	27%	12 Sept →
vertigo	13–8	-0.03	26%	8 Sept →
anubis	10–13	0.08	34%	8 Sept →
inferno	11–13	-0.07	28%	6 Sept →
anubis	13–10	-0.00	16%	2 Sept →
inferno	1–13	-0.13	11%	1 Sept →
inferno	8–13	-0.10	20%	27 Aug →