Lαrα Croft M5🐾 — CS2 Stats

DE76561197964759016[U:1:4493288]Steam profile ↗✓ No bans

2,701Tracked matches48%Win rate2020Tracked since

CSDB Rating4.1 DevelopingPositional Player

Premier CS Rating17,369Purple band · top ~19% of ranked players (population est.)

CSDB Leaderboard#120461 of 259040 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,369 -450 17 Aug – 25 Oct · 35 days played

18,927Peak Premier in tracked matches

33Days played since 2026-08-17

Premier CS Rating

1,491 below peak (18,860)
+153 over 30 days · steady
Next: Pink band at 20,000 — 2,631 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-17
Blue band first seen 2026-09-17

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

Aim32

Positioning55

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLLWWWLLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.3pp headshot accuracy · −36ms reaction

Win rate down 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

2–3 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 11%
Avg reaction 683ms

Last 10

4–6 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 630ms

Last 20

10–10 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 647ms

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 (+2.5 against its own average).

Aim3.2

Utility5.4

Positioning5.5

Opening Duels0.4

Clutch0.8

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 iM 56% 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

Areas to improve

CT openings. Opening success drops from 50% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.2

Positioning5.5

Utility5.4

Mechanics3.8

Opening Duels2.5

Win Impact4.4

Composite 4.1/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time644ms+30ms

first ⅓ avg 614ms → last ⅓ avg 644ms

Headshot accuracy13.2%−1.8%

first ⅓ avg 15.0% → last ⅓ avg 13.2%

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

0.10Best match rating · 13–4 · dust2, 28 Aug →

32%Best headshot accuracy · 13–7 · dust2, 17 Aug →

461msFastest reaction time · 5–13 · inferno, 11 Oct →

13–2Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L3Current streak

12–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 67% over 24nukeWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	16–15	52%	-0.01
inferno	S	24	16–8	67%	-0.02
anubis	C	11	4–7	36%	-0.04
mirage	D	10	2–8	20%	-0.03
cache	C	9	4–5	44%	-0.03
nuke	D	8	1–7	13%	-0.04
ancient	D	7	2–5	29%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

832Matches

53%Win rate

0.84Avg K/D

72.0ADR

34%Headshot %

Clutches & streaks

24%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	31	52%	0.87	14.1
Inferno	25	56%	0.89	13.8
Anubis	16	31%	0.85	13.6
Ancient	10	80%	1.11	17.7
Mirage	8	62%	0.92	12.6
Cache	8	50%	0.82	14.6
Nuke	7	14%	0.74	11.6
Overpass	1	0%	0.83	15.0

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.

13.6%Headshot accuracy

29.9%Accuracy (enemy spotted)

31.8%Spray accuracy

67.1%Counter-strafing

11.5°Preaim

647msReaction time

50.4%T opening success

27.1%CT opening success

0.61Enemies flashed / flash

1.7%Flash assists

9.58HE damage / grenade

8.97Flashes / 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 13.5797% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 27.1328% — 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.

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