lotti

lotti — CS2 Stats

AT76561198123976127[U:1:163710399]Steam profile ↗✓ No bans

831Tracked matches40%Win rate2020Tracked since
2,845Hours in CS4Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 831
−3.3ppWin rate · 43.3% → 40.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 18 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,337 -100 29 Apr26 May · 5 days played
12,43713,456peak 13,45629 Apr26 May
13,558Peak Premier in tracked matches
27Days played since 2026-03-18

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

Performance scores

Aim58
Positioning51
Utility27

0–100 skill scores via Leetify.

Recent form

COLD49456Last 10049%Win rateLLLWLWLWLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −8.2pp headshot accuracy · −11ms 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

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 634ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 639ms

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 PlayerPositioning stands above the rest of this profile (+2.1 against its own average).

Aim5.8
Utility2.7
Positioning5.1
Opening Duels3.1
Clutch1.2

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 658ms 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

Aim5.8
Positioning5.1
Utility2.7
Mechanics5.4
Opening Duels1.9
Win Impact1.7

Composite 4.3/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time666ms−75ms
first ⅓ avg 741ms → last ⅓ avg 666ms
Headshot accuracy24.6%+4.7%
first ⅓ avg 19.8% → last ⅓ avg 24.6%

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

0.23Best match rating · 9–0 · inferno, 2 Apr
47%Best headshot accuracy · 2–9 · inferno, 11 Apr
391msFastest reaction time · 1–13 · dust2, 6 Jul
13–1Biggest win · nuke, 15 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
614In matches decided by ≤2 rounds
4Overtime games

Map breakdown

sanctumBest map · 67% over 6anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB23111248%-0.01
ancientB115645%-0.00
overpassB115645%0.01
cacheB115645%-0.00
nukeA95456%-0.02
dust2A95456%-0.04
anubisD72529%-0.04
sanctumS64267%-0.02
office42250%-0.04
mirage32167%-0.06
vertigo220100%-0.08
debris1010%-0.14
eldorado110100%0.06
alpine1010%-0.02
poseidon1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,741Lifetime kills
1.12K/D · Top 50% of tracked players
4,970Matches
44.4%Match win rate
52.1%Headshot % · Top 25% of tracked players
17.7%Shot accuracy · Top 25% of tracked players
15,504MVPs
1,540Hours (in match)
3,425Bombs planted
901Bombs defused

Most-used weapons

AK-4725,665
AWP11,348
P2502,969
FAMAS2,742
AUG2,699

Lifetime map wins

10,723inferno
5,894train
5,000dust2
2,509nuke
545vertigo
488cbble
316office
147aztec

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

Faceit stats

Combat

137Matches
53%Win rate
0.86Avg K/D
71.1ADR
46%Headshot %

Clutches & streaks

26%1v1 clutch win
3%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2352%0.7813.7
Inferno1963%0.8314.9
Nuke1560%0.9114.2
Dust21354%1.0415.2
Anubis714%0.459.9
Train683%0.7713.5
Overpass650%0.7315.0
Mirage367%0.6011.0

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.

21.2%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.3%Spray accuracy
74.4%Counter-strafing
9.3°Preaim
658msReaction time
32.2%T opening success
43.1%CT opening success
0.46Enemies flashed / flash
2.5%Flash assists
7.07HE damage / grenade
3.72Flashes / 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. 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 0.4589 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 32.2104% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0620%21 Sept
anubis8–13-0.0723%21 Sept
ancient11–130.0320%21 Sept
mirage13–5-0.0517%21 Sept
dust21–13-0.1231%6 Sept
nuke13–60.0520%6 Sept
ancient9–130.0317%2 Sept
dust213–10-0.0019%2 Sept
ancient8–13-0.0624%19 Jul
inferno11–13-0.0519%19 Jul
inferno7–9-0.0541%19 Jul
debris3–9-0.1429%19 Jul
eldorado9–40.0645%19 Jul
dust20–13-0.1320%11 Jul
dust21–13-0.1120%6 Jul
overpass11–13-0.0313%26 May
cache4–13-0.0525%26 May
vertigo9–5-0.1733%26 May
overpass9–70.0021%26 May
inferno9–60.0043%26 May
cache13–60.0227%26 May
cache13–100.1415%26 May
cache2–13-0.0822%23 May
cache7–13-0.0620%23 May
cache5–13-0.0134%23 May
cache13–100.0023%21 May
cache13–50.0429%21 May
cache11–130.0232%20 May
dust213–80.0217%20 May
ancient13–90.0426%20 May
dust213–20.0634%20 May
anubis13–60.0220%18 May
ancient13–7-0.0112%18 May
nuke11–13-0.0218%18 May
overpass14–16-0.0618%18 May
anubis6–13-0.0510%17 May
anubis8–13-0.0417%29 Apr
ancient13–110.0031%29 Apr
cache13–9-0.0521%29 Apr
cache6–13-0.0314%29 Apr
ancient14–16-0.0712%28 Apr
inferno15–15-0.0716%28 Apr
ancient13–7-0.0127%16 Apr
nuke13–7-0.0218%16 Apr
inferno13–10-0.0128%15 Apr
nuke13–10.0229%15 Apr
ancient13–8-0.0118%15 Apr
alpine7–13-0.0222%15 Apr
dust26–13-0.0917%15 Apr
sanctum8–8-0.0916%15 Apr
overpass9–30.1229%15 Apr
inferno9–10.050%15 Apr
nuke6–13-0.0614%11 Apr
sanctum9–7-0.0424%11 Apr
inferno2–9-0.1747%11 Apr
ancient11–130.0115%9 Apr
inferno11–13-0.0520%9 Apr
office6–13-0.0525%8 Apr
inferno16–14-0.0421%8 Apr
nuke13–6-0.0615%8 Apr
overpass9–20.1311%8 Apr
inferno7–9-0.0115%8 Apr
anubis8–13-0.0224%4 Apr
nuke8–13-0.078%4 Apr
dust213–80.0428%4 Apr
sanctum8–80.1112%2 Apr
inferno9–00.2316%2 Apr
sanctum9–4-0.0024%2 Apr
overpass3–9-0.1320%2 Apr
inferno9–40.1931%2 Apr
inferno11–13-0.0332%31 Mar
overpass10–13-0.0119%31 Mar
anubis13–11-0.0917%31 Mar
inferno13–2-0.0221%31 Mar
inferno8–8-0.0626%31 Mar
mirage10–13-0.0919%30 Mar
nuke13–7-0.0019%30 Mar
inferno13–6-0.0015%30 Mar
office6–13-0.0611%30 Mar
anubis7–13-0.029%30 Mar
dust213–5-0.0524%27 Mar
inferno9–13-0.0717%27 Mar
overpass9–60.0921%27 Mar
inferno7–90.0019%27 Mar
inferno8–80.0127%25 Mar
sanctum9–6-0.0917%25 Mar
overpass9–6-0.0322%25 Mar
inferno9–6-0.0719%25 Mar
overpass8–80.0212%19 Mar
inferno9–6-0.0529%19 Mar
ancient6–130.0019%19 Mar
vertigo13–60.0117%19 Mar
office13–40.0313%19 Mar
inferno9–40.0316%19 Mar
office13–7-0.0914%18 Mar
mirage13–10-0.0314%18 Mar
overpass5–9-0.0410%18 Mar
sanctum9–7-0.0222%18 Mar
poseidon7–9-0.0528%18 Mar
inferno3–9-0.0435%18 Mar

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 →