Lotreak

Lotreak — CS2 Stats

MW76561198400266304[U:1:440000576]Steam profile ↗✓ No bans

785Tracked matches44%Win rate2024Tracked since
1,041Hours in CS6Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

+37Tracked matches · now 785
−12.7ppWin rate · 57.1% → 44.4%

Rating over time

32Days played since 2026-07-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches46——
Win rate43%——
K/D0.83——
Headshot %50%——

Measured 10 Sep 2026 → 11 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.

Performance scores

Aim66
Positioning58
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–42–11Last 10047%Win rateWWLWWLWLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +4.7pp headshot accuracy · −57ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 527ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 576ms

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 (+1.5 against its own average).

Aim6.6
Utility4.7
Positioning5.8
Opening Duels2.4

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 57% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 582ms 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

Aim6.6
Positioning5.8
Utility4.7
Mechanics6.0
Opening Duels4.9
Win Impact3.1

Composite 5.5/10 (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-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time596ms−89ms
first ⅓ avg 685ms → last ⅓ avg 596ms
Headshot accuracy19.9%−1.7%
first ⅓ avg 21.6% → last ⅓ avg 19.9%

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

0.18Best match rating · 9–7 · nuke, 9 Jul →
48%Best headshot accuracy · 12–12 · dust2, 3 Aug →
438msFastest reaction time · 11–13 · office, 1 Sept →
13–1Biggest win · nuke, 13 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9–7In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 64% over 11trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2813–1546%-0.01
nukeB136–746%-0.01
mirageA117–464%-0.02
infernoC104–640%-0.01
cacheA85–363%-0.02
trainC83–538%-0.01
officeC73–443%-0.02
anubisC52–340%-0.00
ancient—42–250%-0.02
vertigo—42–250%-0.00
overpass—10–10%-0.05
poseidon—10–10%0.15

Across the last 100 tracked matches.

Lifetime stats

17,973Lifetime kills
0.95K/D
1,360Matches
44.6%Match win rate
53.3%Headshot % · Top 25% of tracked players
0.6%Shot accuracy
2,458MVPs
423Hours (in match)
927Bombs planted
270Bombs defused

Most-used weapons

Lifetime map wins

4,387dust2
1,072nuke
1,034inferno
692train
270vertigo
268office
150italy
9lake

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.

19.4%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.8%Spray accuracy
77.1%Counter-strafing
10.7°Preaim
582msReaction time
57.1%T opening success
41.9%CT opening success
0.51Enemies flashed / flash
12.7%Flash assists
6.84HE damage / grenade
7.61Flashes / match

Recommended for you

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0012%1 Oct →
mirage13–70.0219%30 Sept →
ancient10–130.0516%30 Sept →
cache13–10-0.0321%30 Sept →
dust213–100.0125%30 Sept →
mirage8–13-0.0429%29 Sept →
dust29–2-0.0222%29 Sept →
nuke10–13-0.0919%25 Sept →
anubis10–13-0.0712%25 Sept →
vertigo13–9-0.0123%25 Sept →
train11–13-0.1115%25 Sept →
inferno13–11-0.0120%25 Sept →
ancient13–2-0.0112%25 Sept →
dust213–60.0821%25 Sept →
inferno13–11-0.0519%25 Sept →
office0–7-0.110%25 Sept →
dust212–12-0.055%25 Sept →
vertigo6–130.0312%23 Sept →
dust211–130.0222%21 Sept →
overpass4–13-0.0523%21 Sept →
dust213–7-0.0523%21 Sept →
dust212–12-0.0413%20 Sept →
cache1–13-0.0841%20 Sept →
anubis7–130.0027%16 Sept →
dust26–13-0.0927%14 Sept →
dust213–70.0612%14 Sept →
ancient5–13-0.0241%14 Sept →
train12–120.0621%13 Sept →
anubis6–130.0619%13 Sept →
dust22–130.0213%13 Sept →
mirage13–90.0124%11 Sept →
dust29–130.0921%11 Sept →
cache10–130.0230%10 Sept →
train10–13-0.0613%10 Sept →
nuke11–13-0.1212%10 Sept →
dust213–9-0.0315%10 Sept →
dust213–11-0.0736%10 Sept →
dust213–10-0.0520%3 Sept →
office13–110.0618%3 Sept →
dust212–120.0718%3 Sept →
dust213–100.0117%3 Sept →
dust213–9-0.0414%3 Sept →
dust28–13-0.0114%3 Sept →
office11–13-0.110%1 Sept →
dust210–13-0.0823%1 Sept →
inferno10–13-0.0813%1 Sept →
nuke13–9-0.119%1 Sept →
train13–11-0.0321%1 Sept →
cache6–13-0.0715%1 Sept →
mirage7–13-0.0913%1 Sept →
vertigo13–20.0113%20 Aug →
dust211–13-0.0423%20 Aug →
mirage13–5-0.0628%20 Aug →
mirage9–13-0.1115%18 Aug →
inferno1–9-0.1827%18 Aug →
nuke9–13-0.0812%17 Aug →
cache13–11-0.0317%17 Aug →
cache13–8-0.0710%14 Aug →
ancient13–6-0.119%13 Aug →
train11–130.0126%13 Aug →
nuke13–10.0620%13 Aug →
train13–11-0.0518%12 Aug →
train13–40.1029%12 Aug →
dust213–50.0519%11 Aug →
cache13–80.1032%11 Aug →
inferno11–13-0.0221%11 Aug →
vertigo12–12-0.0521%11 Aug →
inferno6–130.0319%11 Aug →
mirage13–30.0029%11 Aug →
nuke6–13-0.0912%11 Aug →
nuke11–30.0216%5 Aug →
inferno12–12-0.0616%4 Aug →
nuke13–70.0924%4 Aug →
inferno13–60.0710%4 Aug →
dust212–12-0.0148%3 Aug →
nuke13–9-0.0128%3 Aug →
dust212–12-0.078%3 Aug →
anubis13–11-0.0421%28 Jul →
mirage8–130.0313%28 Jul →
mirage13–8-0.0325%26 Jul →
train12–12-0.0138%22 Jul →
dust213–60.0213%22 Jul →
anubis13–60.0519%22 Jul →
office5–13-0.0422%10 Jul →
dust29–13-0.0511%10 Jul →
nuke6–13-0.0232%10 Jul →
mirage13–80.0133%10 Jul →
inferno13–60.0538%9 Jul →
cache11–00.016%9 Jul →
office13–50.0111%9 Jul →
nuke8–8-0.0030%9 Jul →
nuke9–70.1818%9 Jul →
office5–13-0.055%9 Jul →
dust28–13-0.0117%7 Jul →
inferno5–90.1323%7 Jul →
poseidon8–80.1529%7 Jul →
nuke2–9-0.0123%7 Jul →
office13–40.0934%5 Jul →
dust213–70.0820%2 Jul →
dust22–13-0.0422%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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