L0nginis

L0nginis — CS2 Stats

76561199511640292[U:1:1551374564]Steam profile ↗✓ No bans

1,032Tracked matches50%Win rate2023Tracked since
482Hours in CS
CSDB Rating6.6 SolidPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (66 days ago). Ranks are recorded once per day this page is viewed.

+71Tracked matches · now 1,032
+10.0ppWin rate · 40.0% → 50.0%

Rating over time

63Days played since 2026-05-16

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

Performance scores

Aim77
Positioning61
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateTWTWLWLWWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −0.3pp headshot accuracy · +92ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 535ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

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 (+2.3 against its own average).

Aim7.7
Utility4.6
Positioning6.1
Opening Duels4.7
Clutch0.0

Excellent counter-strafing

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 573ms 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

Aim7.7
Positioning6.1
Utility4.6
Mechanics8.6
Opening Duels5.9
Win Impact5.0

Composite 6.6/10 (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 rating0.02+0.05
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time562ms−62ms
first ⅓ avg 623ms → last ⅓ avg 562ms
Headshot accuracy16.2%−0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.2%

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

0.36Best match rating · 9–0 · inferno, 14 Oct →
50%Best headshot accuracy · 2–13 · mirage, 22 May →
359msFastest reaction time · 9–13 · inferno, 9 Oct →
13–1Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–7In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 48% over 31infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%-0.00
mirageC2410–1442%-0.00
nukeD227–1532%-0.00
infernoD154–1127%-0.02
office—32–167%-0.04
vertigo—21–150%0.03
cache—10–10%-0.07
anubis—11–0100%-0.01
ancient—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,010Lifetime kills
0.79K/D
1,368Matches
37.7%Match win rate
46.4%Headshot % · Top 50% of tracked players
5.3%Shot accuracy
2,372MVPs
482Hours (in match)
676Bombs planted
125Bombs defused

Most-used weapons

Lifetime map wins

2,235dust2
2,026nuke
1,502inferno
646vertigo
164train
79office
19cbble
18lake

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

Faceit stats

Combat

1Matches
0%Win rate
0.48Avg K/D
56.1ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

15.4%Headshot accuracy
37.6%Accuracy (enemy spotted)
38.7%Spray accuracy
88.5%Counter-strafing
10.4°Preaim
573msReaction time
57.0%T opening success
49.9%CT opening success
0.67Enemies flashed / flash
15.1%Flash assists
8.32HE damage / grenade
6.37Flashes / match

Recommended for you

Spend your practice time on Inferno

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–120.0030%4 Nov →
vertigo13–70.038%4 Nov →
office12–12-0.0225%3 Nov →
mirage13–70.0118%2 Nov →
cache7–13-0.077%1 Nov →
nuke13–9-0.0410%1 Nov →
nuke6–13-0.0329%31 Oct →
mirage13–10-0.014%31 Oct →
mirage13–10-0.0314%30 Oct →
mirage6–13-0.046%26 Oct →
dust213–7-0.0217%25 Oct →
inferno12–120.0112%24 Oct →
dust210–13-0.025%24 Oct →
dust29–13-0.0227%23 Oct →
inferno13–9-0.0211%22 Oct →
dust210–130.0111%21 Oct →
dust210–130.0619%20 Oct →
nuke6–110.0520%19 Oct →
dust213–50.0415%18 Oct →
mirage11–130.0616%17 Oct →
dust213–30.1217%16 Oct →
inferno9–00.3626%14 Oct →
dust213–50.0516%14 Oct →
dust211–13-0.0116%14 Oct →
nuke9–13-0.0213%13 Oct →
inferno8–80.0414%13 Oct →
dust213–50.0230%11 Oct →
nuke7–110.0011%11 Oct →
dust213–4-0.0517%11 Oct →
mirage12–120.0514%11 Oct →
nuke10–13-0.0119%10 Oct →
nuke13–10.0519%9 Oct →
inferno9–13-0.0216%9 Oct →
dust213–80.027%9 Oct →
mirage13–7-0.039%8 Oct →
dust213–60.0730%8 Oct →
nuke13–30.0414%7 Oct →
mirage5–13-0.058%4 Oct →
mirage10–13-0.0117%3 Oct →
inferno7–9-0.1311%3 Oct →
mirage12–120.0618%2 Oct →
dust213–110.0018%2 Oct →
mirage13–60.0224%30 Sept →
dust29–13-0.069%30 Sept →
mirage10–130.0419%28 Sept →
nuke13–50.0227%28 Sept →
nuke13–40.0233%27 Sept →
inferno13–6-0.017%27 Sept →
nuke6–30.040%26 Sept →
nuke7–13-0.0122%24 Sept →
inferno13–40.0617%23 Sept →
office13–10-0.0317%22 Sept →
vertigo3–130.0213%22 Sept →
mirage3–13-0.0121%20 Sept →
inferno12–120.0320%18 Sept →
nuke4–13-0.0715%17 Sept →
mirage13–60.057%17 Sept →
nuke8–13-0.0129%16 Sept →
inferno9–13-0.067%16 Sept →
inferno7–9-0.0610%16 Sept →
nuke12–12-0.0617%15 Sept →
nuke5–00.100%15 Sept →
dust24–130.0013%15 Sept →
nuke8–13-0.046%14 Sept →
mirage5–13-0.0310%14 Sept →
nuke13–5-0.0212%13 Sept →
anubis13–9-0.0111%13 Sept →
dust21–7-0.050%10 Sept →
dust211–13-0.0012%5 Sept →
inferno4–9-0.0010%5 Sept →
office13–4-0.080%2 Sept →
nuke4–130.0133%14 Aug →
dust24–13-0.0611%27 Jul →
mirage6–00.1015%27 Jul →
dust20–13-0.0518%11 Jul →
mirage4–13-0.070%10 Jul →
dust28–13-0.106%4 Jul →
inferno2–11-0.1018%19 Jun →
dust213–4-0.078%13 Jun →
dust213–8-0.0119%13 Jun →
inferno1–9-0.137%13 Jun →
dust26–13-0.0724%11 Jun →
inferno8–8-0.2315%11 Jun →
mirage13–80.0026%8 Jun →
dust27–130.1028%8 Jun →
mirage11–50.1134%8 Jun →
ancient6–13-0.070%8 Jun →
mirage11–13-0.0818%6 Jun →
mirage6–13-0.0427%6 Jun →
nuke11–13-0.0015%5 Jun →
mirage13–8-0.0123%3 Jun →
dust29–13-0.0129%2 Jun →
dust28–13-0.030%2 Jun →
nuke7–13-0.0614%31 May →
dust213–110.0011%23 May →
mirage2–13-0.0750%22 May →
dust213–60.0718%22 May →
dust213–70.0719%20 May →
mirage3–6-0.078%17 May →
dust213–8-0.0624%16 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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