LaddLina — CS2 Stats

SE76561198119591506[U:1:159325778]Steam profile ↗✓ No bans

605Tracked matches52%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim78

Positioning48

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLLLLLWLWW

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

Player DNA

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

Aim7.8

Aggression6.7

Utility4.4

Positioning4.8

Opening Duels3.2

Clutch5.6

Effective flashes

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 ropz 90% playstyle similarity

Most alike: opening-fight frequency, 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 590ms 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

Aim7.8

Positioning4.8

Utility4.4

Mechanics6.4

Opening Duels3.2

Win Impact5.6

Composite 5.8/10 (Solid), 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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time590ms−11ms

first ⅓ avg 600ms → last ⅓ avg 590ms

Headshot accuracy25.3%+3.7%

first ⅓ avg 21.6% → last ⅓ avg 25.3%

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

0.44Best rating — aim_map 13–2

13–2Biggest win — mirage

6Longest win streak

7–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

vertigoBest map · 63% over 8nukeWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	18–13	58%	-0.00
dust2	B	20	10–10	50%	-0.01
nuke	C	12	5–7	42%	0.01
ancient	A	10	6–4	60%	-0.01
vertigo	A	8	5–3	63%	0.01
cache_b	A	7	4–3	57%	0.01
inferno	—	4	1–3	25%	-0.02
anubis	—	4	1–3	25%	0.01
overpass	—	2	1–1	50%	0.02
aim_map	—	1	1–0	100%	0.44
train	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

463Matches

55%Win rate

1.06Avg K/D

83.1ADR

52%Headshot %

Clutches & streaks

48%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	60%	1.11	17.4
Ancient	61	52%	0.97	15.4
Dust2	57	42%	1.01	16.5
Nuke	32	66%	1.09	15.8
Inferno	27	59%	0.97	16.0
Anubis	20	50%	1.00	16.6
Vertigo	10	50%	1.16	18.2
Train	8	50%	1.06	19.4

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

31.9%Accuracy (enemy spotted)

39.7%Spray accuracy

78.6%Counter-strafing

8.8°Preaim

590msReaction time

38.3%T opening success

47.4%CT opening success

0.74Enemies flashed / flash

1.2%Flash assists

4.96HE damage / grenade

5.86Flashes / 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 38.3353% — 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.

42% win rate across 12 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
mirage	22–18	-0.03	20%	13 Jul →
mirage	11–13	-0.04	15%	13 Jul →
dust2	7–13	-0.04	24%	25 Jun →
dust2	7–13	-0.04	23%	14 Mar →
nuke	7–13	0.06	45%	13 Mar →
nuke	3–13	-0.02	14%	10 Mar →
ancient	13–10	0.00	19%	9 Mar →
mirage	5–13	0.00	13%	9 Mar →
vertigo	13–9	0.01	14%	8 Mar →
dust2	13–4	0.03	29%	8 Mar →
mirage	11–13	-0.05	22%	7 Mar →
dust2	13–9	-0.02	17%	7 Mar →
dust2	5–13	-0.05	44%	6 Mar →
inferno	8–13	-0.04	39%	5 Mar →
anubis	13–10	-0.03	15%	5 Mar →
mirage	4–13	-0.02	24%	5 Mar →
vertigo	10–13	0.03	28%	5 Mar →
mirage	7–13	-0.06	20%	5 Mar →
mirage	13–6	-0.09	16%	4 Mar →
nuke	16–14	-0.03	26%	3 Mar →
nuke	13–7	-0.01	33%	2 Mar →
dust2	10–13	-0.01	17%	2 Mar →
dust2	13–10	-0.00	36%	1 Mar →
inferno	9–13	-0.05	23%	28 Feb →
dust2	13–7	-0.05	30%	28 Feb →
dust2	13–11	-0.02	42%	27 Feb →
dust2	13–4	-0.03	39%	27 Feb →
mirage	13–4	0.04	40%	26 Feb →
ancient	15–15	0.02	24%	23 Feb →
mirage	16–13	-0.02	19%	22 Feb →
ancient	16–13	0.03	25%	22 Feb →
mirage	13–8	-0.01	21%	22 Feb →
dust2	4–13	-0.06	20%	22 Feb →
mirage	0–13	-0.06	5%	22 Feb →
nuke	16–12	0.09	29%	21 Feb →
dust2	13–4	0.01	14%	21 Feb →
mirage	13–11	0.01	18%	19 Feb →
mirage	13–2	0.12	31%	18 Feb →
mirage	13–11	0.08	21%	18 Feb →
mirage	13–8	0.09	20%	17 Feb →
cache_b	6–13	0.04	22%	17 Feb →
anubis	2–13	-0.03	19%	15 Feb →
mirage	13–5	-0.03	21%	15 Feb →
dust2	13–4	0.00	28%	15 Feb →
ancient	4–13	-0.05	13%	8 Feb →
dust2	6–13	-0.05	21%	8 Feb →
vertigo	13–9	0.03	27%	8 Feb →
aim_map	13–2	0.44	39%	8 Feb →
nuke	9–13	-0.01	24%	8 Feb →
nuke	13–5	0.05	40%	7 Feb →
vertigo	13–5	0.05	30%	7 Feb →
nuke	9–13	0.00	34%	7 Feb →
mirage	13–7	0.02	19%	7 Feb →
anubis	9–13	0.07	20%	7 Feb →
mirage	3–13	-0.04	6%	6 Feb →
cache_b	19–17	0.02	20%	1 Feb →
dust2	12–16	-0.00	22%	1 Feb →
nuke	13–4	0.08	27%	31 Jan →
dust2	13–5	0.06	35%	31 Jan →
dust2	5–13	-0.07	26%	25 Jan →
inferno	1–4	0.02	67%	24 Jan →
ancient	11–13	-0.05	23%	23 Jan →
mirage	9–13	-0.03	27%	16 Jan →
cache_b	13–4	-0.03	17%	16 Jan →
mirage	13–6	0.04	20%	16 Jan →
nuke	7–13	-0.03	20%	10 Jan →
mirage	13–11	-0.01	17%	10 Jan →
inferno	13–9	0.00	26%	10 Jan →
ancient	13–9	-0.00	30%	10 Jan →
mirage	5–13	0.02	25%	9 Jan →
mirage	13–7	-0.01	28%	9 Jan →
train	19–17	0.01	21%	7 Jan →
mirage	7–13	0.00	22%	6 Jan →
mirage	13–9	0.07	20%	6 Jan →
cache_b	13–7	0.06	13%	23 Dec →
anubis	10–13	0.02	21%	23 Dec →
cache_b	13–3	0.07	18%	22 Dec →
ancient	13–9	-0.00	30%	19 Dec →
dust2	13–5	0.04	27%	19 Dec →
vertigo	13–2	0.01	14%	19 Dec →
ancient	11–13	0.01	25%	15 Dec →
dust2	8–13	0.01	24%	29 Nov →
mirage	8–13	-0.02	14%	29 Nov →
vertigo	13–9	-0.01	24%	29 Nov →
cache_b	4–13	-0.09	30%	29 Nov →
ancient	13–8	-0.01	18%	28 Nov →
vertigo	10–13	-0.03	23%	27 Nov →
vertigo	11–13	-0.03	23%	27 Nov →
ancient	13–2	-0.09	5%	21 Nov →
mirage	11–13	-0.05	20%	21 Nov →
cache_b	9–13	-0.00	21%	21 Nov →
overpass	13–9	0.02	21%	21 Nov →
dust2	10–13	0.02	20%	19 Nov →
nuke	5–13	-0.03	21%	18 Nov →
mirage	16–13	-0.00	22%	15 Nov →
overpass	8–13	0.02	19%	7 Nov →
mirage	13–6	0.11	17%	7 Nov →
nuke	11–13	-0.05	15%	7 Nov →
mirage	11–13	-0.01	18%	7 Nov →
mirage	16–12	-0.04	38%	6 Nov →