Lotte — CS2 Stats

DE76561199742421592[U:1:1782155864]Steam profile ↗✓ No bans

3,149Tracked matches43%Win rate2025Tracked since

CSDB Rating4.5 DevelopingSupport

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 3,149

0.0ppWin rate · 42.9% → 42.9%

Rating over time

Premier CS Rating: 4,299 -41 31 Aug – 10 Sept · 6 days played

4,650Peak Premier in tracked matches

25Days played since 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim47

Positioning41

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY35–53–12Last 10035%Win rateLLWLWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −2.4pp headshot accuracy · +99ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.07
Avg headshot accuracy 11%
Avg reaction 766ms

Last 10

4–6 · 40% win rate
Avg rating -0.06
Avg headshot accuracy 14%
Avg reaction 761ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.04
Avg headshot accuracy 15%
Avg reaction 711ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim4.7

Utility6.0

Positioning4.1

Opening Duels1.1

Clutch5.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 687ms 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

Aim4.7

Positioning4.1

Utility6.0

Mechanics5.8

Opening Duels2.4

Win Impact2.6

Composite 4.5/10 (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-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time679ms+16ms

first ⅓ avg 663ms → last ⅓ avg 679ms

Headshot accuracy16.1%−3.1%

first ⅓ avg 19.2% → last ⅓ avg 16.1%

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.

Personal bests

0.09Best match rating · 13–10 · dust2, 10 Sept →

58%Best headshot accuracy · 13–7 · dust2, 14 Sept →

430msFastest reaction time · 4–13 · office, 6 Sept →

13–1Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 38% over 66nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	66	25–41	38%	-0.02
inferno	D	12	4–8	33%	-0.06
nuke	D	5	1–4	20%	-0.03
vertigo	—	4	2–2	50%	-0.03
office	—	3	0–3	0%	-0.05
anubis	—	3	1–2	33%	-0.04
mirage	—	2	2–0	100%	-0.05
ancient	—	2	0–2	0%	-0.01
cache	—	1	0–1	0%	0.06
italy	—	1	0–1	0%	-0.04
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

74Matches

49%Win rate

0.76Avg K/D

58.4ADR

49%Headshot %

Clutches & streaks

45%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	38	47%	0.70	11.4
Inferno	11	73%	0.85	9.7
Nuke	9	44%	0.89	12.0
Ancient	7	57%	0.89	12.4
Anubis	5	20%	0.83	15.0
Cache	2	0%	0.44	6.5
Vertigo	2	50%	0.41	6.5

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.

16.7%Headshot accuracy

29.9%Accuracy (enemy spotted)

28.7%Spray accuracy

76.3%Counter-strafing

8.4°Preaim

687msReaction time

39.7%T opening success

39.8%CT opening success

0.80Enemies flashed / flash

7.2%Flash assists

9.92HE damage / grenade

9.62Flashes / 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 39.7083% — 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.

20% win rate across 5 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
inferno	1–13	-0.09	13%	31 Oct →
dust2	11–13	-0.04	13%	31 Oct →
dust2	13–10	-0.09	3%	31 Oct →
dust2	5–13	-0.07	10%	31 Oct →
dust2	13–10	-0.04	16%	30 Oct →
mirage	13–11	-0.04	28%	30 Oct →
office	8–13	-0.10	16%	30 Oct →
inferno	6–1	-0.07	10%	30 Oct →
inferno	6–13	-0.05	17%	23 Oct →
nuke	8–13	-0.04	11%	23 Oct →
nuke	4–13	-0.06	5%	17 Oct →
dust2	13–10	-0.01	15%	11 Oct →
dust2	9–13	0.03	21%	11 Oct →
dust2	13–11	0.03	23%	9 Oct →
dust2	8–13	-0.09	0%	4 Oct →
dust2	12–12	-0.03	27%	4 Oct →
dust2	12–12	-0.01	17%	4 Oct →
dust2	13–3	-0.04	6%	4 Oct →
dust2	8–13	-0.06	22%	3 Oct →
dust2	9–13	-0.00	24%	3 Oct →
dust2	10–13	-0.04	26%	3 Oct →
dust2	11–13	-0.00	13%	27 Sept →
dust2	13–10	-0.04	8%	27 Sept →
dust2	13–9	-0.01	37%	27 Sept →
dust2	13–3	0.01	13%	27 Sept →
dust2	13–6	0.04	17%	27 Sept →
dust2	4–13	-0.08	25%	23 Sept →
inferno	13–11	-0.01	19%	20 Sept →
dust2	10–13	-0.03	28%	20 Sept →
inferno	6–13	-0.09	5%	19 Sept →
dust2	13–10	0.02	16%	19 Sept →
dust2	2–13	-0.06	13%	19 Sept →
dust2	13–2	0.01	17%	19 Sept →
dust2	9–13	-0.05	20%	19 Sept →
dust2	7–13	-0.07	56%	18 Sept →
dust2	13–8	-0.04	21%	18 Sept →
dust2	13–9	0.07	22%	18 Sept →
dust2	10–13	0.01	33%	18 Sept →
dust2	12–12	-0.04	14%	18 Sept →
dust2	8–13	-0.06	17%	17 Sept →
dust2	5–13	-0.03	30%	17 Sept →
dust2	12–12	0.01	26%	17 Sept →
dust2	13–8	0.07	23%	17 Sept →
dust2	13–11	-0.08	17%	17 Sept →
dust2	9–13	-0.06	28%	17 Sept →
dust2	5–13	0.03	30%	16 Sept →
dust2	12–12	-0.02	15%	16 Sept →
inferno	7–13	-0.05	19%	16 Sept →
anubis	13–1	0.02	19%	16 Sept →
vertigo	7–13	-0.01	13%	16 Sept →
nuke	8–13	-0.01	15%	16 Sept →
ancient	10–13	0.05	14%	16 Sept →
dust2	13–8	0.01	7%	16 Sept →
inferno	13–10	-0.03	20%	16 Sept →
dust2	12–12	0.03	39%	16 Sept →
dust2	8–13	-0.00	23%	15 Sept →
dust2	13–7	0.00	16%	15 Sept →
dust2	13–7	-0.03	58%	14 Sept →
dust2	13–7	0.01	11%	14 Sept →
dust2	6–13	0.04	50%	12 Sept →
dust2	13–7	-0.04	24%	12 Sept →
dust2	13–11	-0.01	23%	11 Sept →
dust2	10–13	-0.01	7%	11 Sept →
dust2	12–12	-0.04	22%	10 Sept →
dust2	13–5	0.02	28%	10 Sept →
dust2	10–13	-0.06	23%	10 Sept →
inferno	12–12	-0.07	19%	10 Sept →
cache	14–16	0.06	31%	10 Sept →
dust2	13–10	0.09	14%	10 Sept →
nuke	10–13	0.06	32%	9 Sept →
vertigo	13–9	-0.06	21%	9 Sept →
italy	12–12	-0.04	23%	9 Sept →
dust2	9–13	-0.08	20%	9 Sept →
anubis	9–13	-0.05	17%	9 Sept →
nuke	13–5	-0.07	6%	9 Sept →
overpass	6–13	-0.05	10%	9 Sept →
mirage	13–10	-0.05	0%	9 Sept →
dust2	13–16	-0.01	12%	9 Sept →
inferno	13–11	-0.09	14%	9 Sept →
dust2	4–13	0.02	28%	9 Sept →
ancient	12–12	-0.07	27%	9 Sept →
vertigo	13–5	-0.01	19%	9 Sept →
anubis	7–13	-0.09	14%	9 Sept →
inferno	7–13	-0.11	21%	8 Sept →
dust2	13–6	-0.03	29%	8 Sept →
dust2	11–13	0.02	23%	8 Sept →
inferno	3–13	0.01	19%	7 Sept →
dust2	3–13	-0.08	14%	7 Sept →
dust2	6–13	-0.05	23%	7 Sept →
dust2	11–13	-0.04	21%	7 Sept →
dust2	13–11	-0.05	33%	7 Sept →
vertigo	4–13	-0.06	13%	7 Sept →
dust2	11–13	-0.03	22%	7 Sept →
dust2	1–10	0.01	21%	7 Sept →
office	9–13	-0.06	17%	6 Sept →
office	4–13	0.00	30%	6 Sept →
dust2	12–12	-0.01	23%	6 Sept →
inferno	15–15	-0.09	5%	6 Sept →
dust2	10–13	0.01	9%	6 Sept →
dust2	11–13	-0.04	21%	5 Sept →