Changli Nemica — CS2 Stats

76561198378984708[U:1:418718980]

963Tracked matches43%Win rate2020Tracked since

2,181Hours in CS

CSDB Rating4.9 Developing

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning45

Utility55

0–100 skill scores via Leetify.

Recent form

COLD52–46–2Last 10052%Win rateWLLWTLLLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.6

Aggression6.6

Utility5.5

Positioning4.5

Opening Duels2.4

Clutch4.0

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 85% playstyle similarity

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

Where you differ: lower utility contribution; 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 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim5.6

Positioning4.5

Utility5.5

Mechanics6.4

Opening Duels2.4

Win Impact2.6

Composite 4.9/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time637ms−20ms

first ⅓ avg 657ms → last ⅓ avg 637ms

Headshot accuracy14.4%−1.2%

first ⅓ avg 15.5% → last ⅓ avg 14.4%

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

0.16Best rating — ancient 13–3

13–2Biggest win — dust2

5Longest win streak

9–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	13–11	54%	-0.01
mirage	C	24	10–14	42%	-0.01
inferno	D	12	4–8	33%	0.03
nuke	S	11	8–3	73%	0.03
ancient	A	11	6–5	55%	0.01
anubis	D	6	2–4	33%	-0.02
cache	A	5	3–2	60%	-0.01
vertigo	S	5	4–1	80%	0.04
train	—	2	2–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,697Lifetime kills

1.28K/D · Top 25% of tracked players

4,888Matches

49.7%Match win rate · Top 25% of tracked players

34.2%Headshot %

18.0%Shot accuracy · Top 10% of tracked players

13,782MVPs

2,181Hours (in match)

5,935Bombs planted

1,793Bombs defused

Most-used weapons

AK-4727,104

AWP20,088

M4A4 / M4A1-S19,562

P2000 / USP-S5,239

Desert Eagle5,191

Glock-184,686

MAC-102,714

MP72,103

MP92,014

Galil AR1,667

Lifetime map wins

11,661inferno

6,460dust2

2,608train

2,578vertigo

2,131nuke

546cbble

331office

324lake

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

Faceit stats

Combat

294Matches

51%Win rate

1.15Avg K/D

80.3ADR

35%Headshot %

Clutches & streaks

40%1v1 clutch win

16%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	50%	1.48	18.0
Ancient	7	43%	0.90	15.0
Dust2	5	20%	1.19	20.0
Inferno	4	50%	1.06	21.8
Nuke	3	33%	0.87	12.7
Anubis	3	67%	1.18	17.7
Vertigo	3	100%	1.23	16.0
Train	1	100%	1.12	9.0

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.

14.9%Headshot accuracy

33.9%Accuracy (enemy spotted)

33.4%Spray accuracy

78.6%Counter-strafing

9.8°Preaim

646msReaction time

31.3%T opening success

48.3%CT opening success

0.52Enemies flashed / flash

8.4%Flash assists

17.88HE damage / grenade

9.11Flashes / 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 14.9157% — 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 31.2845% — 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.

33% 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
nuke	13–6	0.09	18%	29 Jul →
cache	5–13	-0.05	5%	29 Jul →
anubis	8–13	-0.09	13%	14 Jul →
dust2	13–10	0.02	20%	14 Jul →
dust2	15–15	0.03	19%	12 Jul →
cache	4–13	0.00	19%	12 Jul →
ancient	4–13	-0.06	8%	12 Jul →
dust2	10–13	0.00	15%	12 Jul →
ancient	11–13	-0.00	17%	12 Jul →
cache	13–11	-0.04	14%	9 Jul →
cache	13–6	0.01	22%	7 Jul →
nuke	13–11	0.00	16%	7 Jul →
cache	13–7	0.03	14%	7 Jul →
dust2	11–13	0.07	10%	7 Jul →
inferno	2–6	-0.07	6%	6 Jul →
nuke	5–13	0.04	10%	6 Jul →
mirage	9–13	-0.02	14%	6 Jul →
mirage	13–16	-0.02	12%	6 Jul →
dust2	13–7	-0.06	17%	6 Jul →
inferno	13–5	0.02	14%	6 Jul →
nuke	13–11	0.15	23%	1 Jul →
dust2	0–7	-0.01	18%	30 Jun →
nuke	1–13	-0.09	4%	30 Jun →
mirage	8–13	-0.06	12%	30 Jun →
dust2	3–13	-0.05	20%	30 Jun →
mirage	13–11	-0.04	17%	29 Jun →
dust2	11–13	-0.02	16%	29 Jun →
dust2	13–10	-0.08	9%	29 Jun →
anubis	15–15	0.04	16%	22 Jun →
mirage	13–8	0.07	21%	21 Jun →
anubis	10–13	-0.04	8%	21 Jun →
dust2	3–13	-0.08	12%	21 Jun →
inferno	13–8	0.06	16%	21 Jun →
mirage	5–13	-0.01	23%	21 Jun →
mirage	5–13	0.03	13%	16 Jun →
mirage	13–10	-0.04	7%	16 Jun →
inferno	10–13	0.04	15%	16 Jun →
dust2	9–13	-0.02	12%	15 Jun →
dust2	13–6	-0.01	9%	15 Jun →
mirage	13–7	0.05	22%	9 Jun →
ancient	13–3	0.16	23%	9 Jun →
inferno	13–9	0.05	15%	6 Jun →
ancient	13–10	0.00	5%	6 Jun →
dust2	5–13	0.02	5%	6 Jun →
nuke	13–10	0.04	28%	6 Jun →
ancient	13–7	0.12	17%	20 Feb →
anubis	13–10	-0.01	17%	19 Feb →
anubis	8–13	-0.04	12%	19 Feb →
dust2	13–7	0.02	15%	15 Feb →
nuke	13–4	0.01	12%	15 Feb →
mirage	7–13	0.00	10%	14 Feb →
dust2	13–8	0.02	16%	11 Feb →
train	13–9	0.10	16%	11 Feb →
nuke	13–5	0.11	28%	11 Feb →
mirage	13–10	0.09	17%	1 Feb →
ancient	10–13	0.05	12%	1 Feb →
mirage	13–5	0.06	18%	1 Feb →
nuke	16–12	0.01	16%	1 Feb →
inferno	9–13	-0.00	14%	11 Jan →
inferno	10–13	0.08	13%	11 Jan →
vertigo	13–3	0.02	3%	11 Jan →
inferno	13–8	0.14	13%	11 Jan →
mirage	13–3	0.09	15%	10 Jan →
vertigo	13–7	0.10	6%	9 Jan →
mirage	6–13	-0.08	7%	7 Jan →
dust2	13–9	-0.03	13%	7 Jan →
ancient	13–16	-0.03	13%	7 Jan →
ancient	11–13	-0.05	5%	6 Jan →
mirage	11–13	-0.09	8%	6 Jan →
ancient	13–7	-0.03	13%	2 Jan →
dust2	13–2	0.01	5%	2 Jan →
anubis	13–11	-0.00	16%	2 Jan →
mirage	13–4	0.04	20%	2 Jan →
inferno	11–13	0.04	19%	2 Jan →
mirage	5–13	0.00	11%	2 Jan →
vertigo	13–7	-0.01	17%	2 Jan →
mirage	6–13	-0.08	14%	31 Dec →
nuke	11–13	-0.03	6%	29 Dec →
dust2	13–8	-0.02	29%	29 Dec →
mirage	13–6	0.01	15%	29 Dec →
vertigo	9–13	-0.03	18%	29 Dec →
ancient	13–4	0.01	22%	29 Dec →
dust2	13–7	-0.04	14%	29 Dec →
mirage	13–9	0.05	15%	29 Dec →
mirage	7–13	-0.06	26%	29 Dec →
dust2	13–11	0.06	13%	28 Dec →
vertigo	16–14	0.13	17%	26 Dec →
nuke	13–11	0.04	21%	26 Dec →
dust2	5–13	0.02	16%	26 Dec →
dust2	16–13	-0.05	13%	16 Dec →
mirage	11–13	-0.05	18%	11 Dec →
mirage	4–13	-0.02	10%	11 Dec →
train	13–4	0.00	13%	24 Nov →
mirage	5–13	-0.09	18%	20 Nov →
dust2	16–19	-0.02	21%	6 Nov →
ancient	13–5	-0.01	11%	2 Nov →
inferno	11–13	-0.01	25%	31 Oct →
inferno	12–16	0.03	8%	28 Oct →
dust2	13–11	0.00	26%	21 Oct →
inferno	7–13	0.03	12%	18 Oct →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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