Linalu2707

Linalu2707 — CS2 Stats

DE76561198209424263[U:1:249158535]Steam profile ↗✓ No bans

121Tracked matches47%Win rate2026Tracked since
45Hours in CS
CSDB Rating2.8 LearningSupport
WingmanSilver Elite
Ladder ranks via Leetify

Performance scores

Aim20
Positioning35
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLLWWLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.2pp headshot accuracy · −98ms reaction

Win rate 0pp 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 -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 610ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 610ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 659ms

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 (+1.2 against its own average).

Aim2.0
Utility3.6
Positioning3.5
Opening Duels0.0

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

NiKo

Plays most like NiKo 65% 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

Reaction time. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.0
Positioning3.5
Utility3.6
Mechanics3.6
Opening Duels0.0
Win Impact3.9

Composite 2.8/10 (Learning), 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-0.05+0.03
first ⅓ avg -0.08 → last ⅓ avg -0.05
Reaction time676ms−45ms
first ⅓ avg 721ms → last ⅓ avg 676ms
Headshot accuracy8.7%−0.4%
first ⅓ avg 9.1% → last ⅓ avg 8.7%

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

0.12Best match rating · 13–2 · nuke, 22 Aug →
20%Best headshot accuracy · 11–13 · office, 25 May →
391msFastest reaction time · 5–6 · vertigo, 30 Jul →
13–0Biggest win · dust2, 18 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 60% over 5vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%-0.05
officeC239–1439%-0.05
infernoC187–1139%-0.13
nukeC146–843%-0.03
vertigoD62–433%-0.05
anubisA53–260%-0.06
train—32–167%-0.10
overpass—31–233%-0.09
cache—11–0100%-0.04
warden—11–0100%-0.10
ancient—10–10%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

1,293Lifetime kills
0.52K/D
152Matches
38.2%Match win rate
38.4%Headshot %
0.0%Shot accuracy
185MVPs
45Hours (in match)
121Bombs planted
17Bombs defused

Most-used weapons

Lifetime map wins

299dust2
255office
228inferno
143nuke
51vertigo
34train

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
28.6%Spray accuracy
66.2%Counter-strafing
12.4°Preaim
677msReaction time
26.1%T opening success
22.8%CT opening success
0.64Enemies flashed / flash
4.6%Flash assists
8.61HE damage / grenade
3.34Flashes / 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.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3551° — above the 12° mark we flag

    Aim Training →
  2. 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 9.2333% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3391 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
office7–13-0.095%25 Aug →
nuke10–13-0.068%24 Aug →
nuke13–20.127%22 Aug →
nuke13–50.0613%15 Aug →
dust25–13-0.063%15 Aug →
dust213–8-0.108%12 Aug →
dust213–11-0.0111%12 Aug →
nuke5–10.066%12 Aug →
dust23–13-0.058%8 Aug →
office5–13-0.0813%6 Aug →
nuke13–90.0715%6 Aug →
dust210–13-0.076%5 Aug →
dust213–10-0.059%4 Aug →
dust24–13-0.0514%4 Aug →
office13–3-0.059%3 Aug →
nuke9–13-0.0513%3 Aug →
dust213–5-0.0411%2 Aug →
dust213–9-0.0311%2 Aug →
vertigo9–13-0.086%2 Aug →
dust26–13-0.0512%1 Aug →
dust213–9-0.0710%1 Aug →
office5–13-0.118%1 Aug →
dust213–5-0.034%31 Jul →
office7–13-0.008%31 Jul →
dust213–90.009%30 Jul →
vertigo7–13-0.0515%30 Jul →
vertigo5–6-0.037%30 Jul →
vertigo4–13-0.039%29 Jul →
dust213–10-0.0111%29 Jul →
anubis8–13-0.107%28 Jul →
dust213–5-0.040%28 Jul →
nuke4–9-0.2810%25 Jul →
inferno9–4-0.114%25 Jul →
inferno3–9-0.240%25 Jul →
inferno8–8-0.0813%25 Jul →
nuke10–13-0.099%25 Jul →
office6–13-0.047%24 Jul →
nuke3–13-0.088%24 Jul →
dust211–13-0.0212%24 Jul →
office4–13-0.049%24 Jul →
dust213–2-0.085%24 Jul →
dust25–13-0.039%23 Jul →
nuke4–13-0.025%23 Jul →
office7–13-0.0110%22 Jul →
office13–20.067%22 Jul →
inferno4–9-0.1811%19 Jul →
inferno9–6-0.1217%19 Jul →
inferno9–5-0.1911%19 Jul →
inferno3–9-0.220%19 Jul →
office8–13-0.138%19 Jul →
nuke13–4-0.037%19 Jul →
office5–13-0.0717%19 Jul →
dust22–10-0.060%19 Jul →
dust216–13-0.1012%19 Jul →
anubis13–7-0.0215%23 Jun →
train8–13-0.090%23 Jun →
train13–7-0.123%21 Jun →
train13–11-0.095%21 Jun →
cache13–9-0.0410%21 Jun →
dust213–30.0219%19 Jun →
office3–13-0.027%19 Jun →
office11–13-0.043%19 Jun →
anubis11–13-0.023%4 Jun →
office13–11-0.087%4 Jun →
office13–9-0.095%4 Jun →
office13–80.039%4 Jun →
vertigo13–11-0.0511%4 Jun →
vertigo13–5-0.068%4 Jun →
office12–12-0.068%3 Jun →
warden6–7-0.1018%3 Jun →
ancient12–12-0.0410%3 Jun →
office13–7-0.032%3 Jun →
office13–8-0.062%1 Jun →
nuke13–80.036%1 Jun →
inferno13–10-0.053%28 May →
inferno2–13-0.1117%28 May →
anubis13–3-0.099%28 May →
anubis13–6-0.0610%28 May →
inferno2–13-0.140%25 May →
nuke5–13-0.079%25 May →
dust29–13-0.1113%25 May →
office11–13-0.1020%25 May →
overpass13–4-0.080%25 May →
overpass10–13-0.0720%25 May →
inferno8–8-0.149%21 May →
inferno7–9-0.1616%21 May →
inferno9–40.0211%21 May →
inferno8–8-0.1018%21 May →
inferno4–9-0.0716%21 May →
inferno3–9-0.197%21 May →
inferno9–6-0.0519%21 May →
inferno9–6-0.148%21 May →
dust211–13-0.086%18 May →
dust213–0-0.030%18 May →
dust212–12-0.0913%18 May →
office11–13-0.094%18 May →
office13–7-0.135%18 May →
office13–10.035%18 May →
nuke2–13-0.086%18 May →
overpass5–13-0.114%18 May →

Match data via Leetify.

Recent teammates

Milestones

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

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