LoS13nto | CSFIT — CS2 Stats

76561198994663420[U:1:1034397692]Steam profile ↗✓ No bans

1,881Tracked matches50%Win rate2023Tracked since

757Hours in CS

CSDB Rating4.4 DevelopingPositional Player

Premier CS Rating7,963Light Blue band · top ~64.6% of ranked players (population est.)

CSDB Leaderboard#184613 of 247902 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−253Premier CS Rating · 8,216 → 7,963

Rating over time

Premier CS Rating: 7,963 -2,037 31 Aug – 1 Oct · 13 days played

10,000Peak Premier in tracked matches

15Days played since 2026-08-31

Premier CS Rating

2,037 below peak (10,000)
-2,037 over 30 days · declining
Next: Blue band at 10,000 — 2,037 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-08-31
Light Blue band first seen 2026-08-31

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

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	29	14	+15
Win rate	52%	43%	+9pp
K/D	1.00	0.86	+0.13
Headshot %	44%	43%	+1pp

Measured 25 Sep 2026 → 1 Oct 2026; previous 17 Sep 2026 → 25 Sep 2026.

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	115	—	—
Win rate	40%	—	—
K/D	0.88	—	—
Headshot %	41%	—	—

Measured 1 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,040), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	43.1%	41.8%	42.7%	meets
Shot accuracy	2.3%	12.2%	11.3%	9.0% short
Kill/death ratio	0.82	0.98	0.99	0.18 short
Match win rate	41.9%	43.3%	43.9%	2.0% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim51

Positioning52

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY40–48–12Last 10040%Win rateLLWWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +2.1pp headshot accuracy · +24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 19%
Avg reaction 644ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 16%
Avg reaction 660ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 648ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim5.1

Utility4.3

Positioning5.2

Opening Duels2.3

Clutch3.8

Limited utility dependence

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 NiKo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 641ms 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

Aim5.1

Positioning5.2

Utility4.3

Mechanics5.7

Opening Duels2.8

Win Impact5.0

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time646ms+27ms

first ⅓ avg 619ms → last ⅓ avg 646ms

Headshot accuracy13.8%+0.2%

first ⅓ avg 13.7% → last ⅓ avg 13.8%

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

0.20Best match rating · 13–6 · vertigo, 1 Oct →

33%Best headshot accuracy · 2–13 · mirage, 15 Sept →

438msFastest reaction time · 12–12 · office, 22 Sept →

13–0Biggest win · vertigo, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

3–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

vertigoBest map · 83% over 6mirageWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
office	D	16	4–12	25%	-0.00
nuke	D	16	5–11	31%	0.01
inferno	A	11	6–5	55%	-0.01
dust2	B	10	5–5	50%	0.01
mirage	D	9	1–8	11%	-0.01
ancient	B	8	4–4	50%	0.01
cache	D	8	2–6	25%	-0.04
vertigo	S	6	5–1	83%	0.04
anubis	C	5	2–3	40%	0.01
overpass	—	4	2–2	50%	0.03
train	—	3	2–1	67%	0.05
boulder	—	3	2–1	67%	-0.01
fachwerk	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,711Lifetime kills

0.82K/D

1,966Matches

41.9%Match win rate

43.1%Headshot % · Top 50% of Level 3 players

2.3%Shot accuracy

3,078MVPs

757Hours (in match)

1,971Bombs planted

476Bombs defused

Most-used weapons

AK-479,574

M4A4 / M4A1-S7,529

Desert Eagle1,543

P2000 / USP-S1,461

AWP1,220

Glock-181,188

Galil AR602

MP7419

MP9384

FAMAS332

Lifetime map wins

3,274dust2

2,894inferno

2,315nuke

1,008vertigo

334office

274train

7italy

7safehouse

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

Faceit stats

Combat

57Matches

54%Win rate

1.17Avg K/D

77.3ADR

39%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	13	69%	1.30	18.3
Inferno	9	33%	1.06	14.7
Nuke	9	44%	0.78	13.0
Mirage	8	38%	1.06	13.9
Dust2	7	57%	0.83	13.7
Anubis	5	60%	1.45	17.4
Vertigo	3	67%	1.03	13.3
Cache	3	100%	2.92	15.3

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.

14.1%Headshot accuracy

33.4%Accuracy (enemy spotted)

36.5%Spray accuracy

75.7%Counter-strafing

10.7°Preaim

641msReaction time

37.6%T opening success

44.4%CT opening success

0.38Enemies flashed / flash

15.8%Flash assists

7.90HE damage / grenade

4.54Flashes / 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 14.1264% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3802 — below the 0.5 mark we flag
Grenade Lineups →
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 37.6438% — below the 40% mark we flag

Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	6–13	0.02	23%	1 Oct →
dust2	7–13	-0.08	11%	1 Oct →
overpass	13–11	0.02	19%	1 Oct →
office	13–7	0.11	30%	1 Oct →
vertigo	13–6	0.20	12%	1 Oct →
ancient	13–9	-0.00	13%	1 Oct →
dust2	8–13	0.00	14%	1 Oct →
vertigo	13–0	0.12	8%	1 Oct →
overpass	3–0	0.03	13%	1 Oct →
ancient	9–13	-0.05	21%	1 Oct →
inferno	9–13	0.00	11%	30 Sept →
inferno	13–8	0.01	16%	30 Sept →
mirage	15–15	-0.01	10%	30 Sept →
dust2	16–13	0.01	21%	30 Sept →
nuke	13–6	0.03	11%	30 Sept →
train	2–13	0.01	13%	29 Sept →
ancient	5–13	-0.04	11%	29 Sept →
ancient	16–12	0.03	12%	28 Sept →
cache	5–13	0.00	20%	28 Sept →
mirage	7–13	0.02	18%	28 Sept →
office	13–9	-0.00	20%	28 Sept →
nuke	8–13	0.04	10%	28 Sept →
nuke	13–10	-0.00	0%	28 Sept →
nuke	4–13	0.01	10%	28 Sept →
ancient	16–14	0.07	13%	28 Sept →
nuke	13–3	0.02	18%	28 Sept →
office	12–12	0.03	10%	28 Sept →
nuke	10–13	-0.01	20%	28 Sept →
office	4–13	-0.06	9%	27 Sept →
ancient	5–13	0.02	7%	27 Sept →
vertigo	13–5	-0.01	7%	27 Sept →
cache	13–7	-0.08	19%	27 Sept →
office	13–2	-0.01	11%	27 Sept →
vertigo	13–10	-0.05	13%	27 Sept →
office	11–13	0.03	14%	26 Sept →
nuke	11–13	-0.01	14%	26 Sept →
dust2	11–13	0.04	13%	26 Sept →
mirage	13–6	0.04	12%	26 Sept →
boulder	13–9	-0.01	12%	26 Sept →
dust2	13–11	-0.01	8%	26 Sept →
inferno	11–13	-0.04	4%	26 Sept →
office	12–12	-0.05	10%	26 Sept →
office	12–12	0.11	15%	26 Sept →
dust2	13–8	0.07	19%	26 Sept →
nuke	4–13	-0.03	22%	26 Sept →
cache	8–13	-0.03	11%	25 Sept →
mirage	9–13	-0.03	11%	24 Sept →
anubis	16–13	-0.04	12%	24 Sept →
nuke	3–13	-0.01	11%	24 Sept →
office	7–13	-0.02	16%	24 Sept →
inferno	4–13	-0.05	14%	24 Sept →
vertigo	3–13	0.01	24%	24 Sept →
office	12–12	0.08	10%	24 Sept →
mirage	12–16	-0.01	19%	24 Sept →
cache	10–13	-0.03	7%	24 Sept →
ancient	4–13	0.00	7%	24 Sept →
dust2	8–13	-0.01	10%	24 Sept →
nuke	11–13	0.06	13%	24 Sept →
office	12–12	0.07	9%	23 Sept →
dust2	9–1	0.07	12%	22 Sept →
office	12–12	-0.05	13%	22 Sept →
train	13–7	0.01	18%	22 Sept →
inferno	13–10	-0.03	4%	22 Sept →
nuke	11–13	-0.07	19%	22 Sept →
anubis	9–13	0.03	13%	22 Sept →
mirage	8–13	-0.03	14%	22 Sept →
anubis	13–6	0.08	16%	22 Sept →
anubis	7–13	0.01	19%	21 Sept →
inferno	6–13	0.01	12%	18 Sept →
inferno	1–13	-0.08	8%	17 Sept →
fachwerk	12–12	-0.06	13%	17 Sept →
overpass	12–12	0.03	14%	17 Sept →
office	12–12	-0.07	6%	17 Sept →
anubis	12–12	-0.00	9%	17 Sept →
vertigo	13–6	-0.04	15%	17 Sept →
nuke	11–13	-0.00	9%	17 Sept →
cache	7–13	-0.04	17%	17 Sept →
inferno	13–3	0.03	16%	17 Sept →
cache	9–13	-0.11	19%	17 Sept →
train	13–3	0.12	14%	17 Sept →
office	13–9	0.03	19%	16 Sept →
boulder	9–13	0.00	15%	16 Sept →
office	7–13	-0.07	15%	16 Sept →
dust2	13–8	0.02	10%	16 Sept →
mirage	9–13	-0.04	15%	16 Sept →
inferno	13–1	0.01	19%	16 Sept →
nuke	5–13	-0.02	11%	16 Sept →
cache	13–10	-0.02	16%	16 Sept →
nuke	13–3	0.03	11%	16 Sept →
nuke	9–4	0.14	16%	16 Sept →
nuke	3–13	0.02	2%	16 Sept →
inferno	9–4	-0.00	13%	16 Sept →
mirage	5–13	0.02	24%	15 Sept →
dust2	11–13	-0.03	8%	15 Sept →
ancient	13–4	0.04	8%	15 Sept →
boulder	13–8	-0.03	10%	15 Sept →
mirage	2–13	-0.06	33%	15 Sept →
office	3–13	-0.13	4%	15 Sept →
cache	12–12	-0.03	18%	15 Sept →
inferno	13–10	-0.01	13%	15 Sept →