gondor lover

gondor lover — CS2 Stats

MF76561198354439683[U:1:394173955]Steam profile ↗✓ No bans

567Tracked matches55%Win rate2020Tracked since
2,313Hours in CS2Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 567
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 21,389 -2,242 6 Feb – 6 Jul · 26 days played
20,51423,631peak 23,6316 Feb6 Jul
23,631Peak Premier in tracked matches
37Days played since 2026-02-06

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate43.7%45.7%46.8%3.1% short
Shot accuracy14.9%12.7%13.0%above
Kill/death ratio0.881.051.060.18 short
Match win rate41.1%45.7%46.3%5.2% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgondor loverFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning53
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLTLLWWWWLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.1pp headshot accuracy · +90ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 736ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 698ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 653ms

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 against its own average).

Aim6.5
Utility4.4
Positioning5.3
Opening Duels4.1
Clutch3.2

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 683ms 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

Aim6.5
Positioning5.3
Utility4.4
Mechanics7.6
Opening Duels3.4
Win Impact6.7

Composite 5.8/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time653ms+12ms
first ⅓ avg 640ms → last ⅓ avg 653ms
Headshot accuracy21.4%+3.2%
first ⅓ avg 18.2% → last ⅓ avg 21.4%

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 · 9–2 · inferno, 16 May →
50%Best headshot accuracy · 7–9 · inferno, 23 Sept →
461msFastest reaction time · 13–10 · dust2, 6 May →
13–1Biggest win · cache, 1 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 70% over 10anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%-0.01
infernoC177–1041%0.02
dust2A169–756%-0.03
nukeC146–843%-0.03
ancientS107–370%-0.04
anubisC83–538%-0.04
overpass—41–325%-0.08
cache—31–233%-0.03
vertigo—21–150%0.01
office—11–0100%-0.00
stronghold—11–0100%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,602Lifetime kills
0.88K/D
3,329Matches
41.1%Match win rate
43.7%Headshot %
14.9%Shot accuracy · Top 50% of Level 7 players
11,423MVPs
1,211Hours (in match)
2,724Bombs planted
702Bombs defused

Most-used weapons

AK-4715,907
AWP10,605
FAMAS1,853
MP91,645
MAC-101,293

Lifetime map wins

3,020inferno
2,317dust2
1,731train
1,002nuke
995vertigo
312lake
243cbble
80office

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

Faceit stats

Combat

376Matches
51%Win rate
0.88Avg K/D
76.3ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2572%1.1917.3
Dust21267%1.0316.8
Ancient7100%1.2920.1
Anubis667%0.8514.2
Nuke650%0.8715.2
Overpass475%0.9011.5
Inferno333%1.0615.7
Vertigo250%0.7812.0

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.

20.0%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.3%Spray accuracy
84.3%Counter-strafing
9.5°Preaim
683msReaction time
33.3%T opening success
53.6%CT opening success
0.56Enemies flashed / flash
9.4%Flash assists
8.13HE damage / grenade
5.40Flashes / 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

    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 33.2544% — 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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–9-0.0250%23 Sept →
mirage15–15-0.0612%9 Aug →
dust26–13-0.0113%9 Aug →
mirage0–6-0.040%3 Aug →
ancient13–4-0.0237%26 Jul →
dust213–11-0.0526%26 Jul →
anubis13–11-0.0424%25 Jul →
nuke16–14-0.0312%9 Jul →
cache8–13-0.0612%9 Jul →
ancient13–6-0.0927%6 Jul →
mirage6–13-0.0419%6 Jul →
mirage16–140.0113%5 Jul →
dust213–80.0214%5 Jul →
nuke8–13-0.0235%5 Jul →
office13–6-0.0036%16 Jun →
stronghold13–60.0633%16 Jun →
dust213–10-0.0019%9 Jun →
inferno10–13-0.0513%7 Jun →
inferno9–10.1621%7 Jun →
anubis6–13-0.0620%29 May →
dust213–11-0.0420%29 May →
overpass7–9-0.0823%29 May →
inferno8–80.0214%29 May →
inferno5–9-0.0140%23 May →
nuke9–50.0124%23 May →
mirage13–4-0.0611%23 May →
inferno9–70.0918%23 May →
overpass9–4-0.0721%23 May →
inferno7–9-0.1029%23 May →
mirage13–50.0520%22 May →
inferno8–13-0.0512%22 May →
inferno5–90.0125%21 May →
vertigo8–8-0.0414%20 May →
inferno11–13-0.0225%20 May →
ancient4–13-0.0315%20 May →
mirage19–170.0124%19 May →
nuke3–13-0.0713%19 May →
anubis13–50.0221%17 May →
inferno8–80.0732%17 May →
mirage9–13-0.0722%17 May →
nuke10–13-0.0422%16 May →
nuke10–80.0026%16 May →
dust216–14-0.0825%16 May →
mirage13–10-0.0220%16 May →
mirage11–130.0217%16 May →
mirage13–9-0.0319%16 May →
dust23–13-0.0626%16 May →
ancient13–6-0.0414%16 May →
nuke9–60.0612%16 May →
inferno9–20.1818%16 May →
mirage13–90.0323%15 May →
overpass2–9-0.188%15 May →
vertigo9–40.0534%15 May →
inferno9–5-0.0117%15 May →
nuke7–13-0.0730%14 May →
anubis6–13-0.098%14 May →
mirage13–2-0.0214%14 May →
nuke5–13-0.0218%14 May →
ancient13–6-0.0721%14 May →
mirage13–90.0220%13 May →
ancient13–9-0.0317%13 May →
dust25–13-0.0512%13 May →
mirage3–130.0127%13 May →
mirage8–130.0010%12 May →
dust23–13-0.0610%12 May →
dust213–50.0217%12 May →
nuke13–9-0.0122%10 May →
mirage13–11-0.0017%10 May →
dust215–15-0.0320%10 May →
mirage16–14-0.0112%10 May →
dust25–13-0.0722%10 May →
anubis7–13-0.016%10 May →
dust213–10-0.0433%6 May →
dust213–70.0126%2 May →
overpass9–130.0320%2 May →
cache9–130.0211%2 May →
mirage13–9-0.0416%1 May →
cache13–1-0.0550%1 May →
nuke14–16-0.0312%18 Apr →
ancient13–11-0.0019%18 Apr →
ancient11–13-0.0411%18 Apr →
mirage13–4-0.0421%18 Apr →
mirage15–15-0.0514%18 Apr →
anubis9–13-0.029%18 Apr →
mirage5–13-0.0042%11 Apr →
ancient13–7-0.049%11 Apr →
anubis16–13-0.0518%10 Apr →
mirage12–16-0.0218%7 Apr →
nuke13–50.009%7 Apr →
mirage15–150.0219%5 Apr →
ancient7–130.0018%30 Mar →
anubis8–13-0.0515%30 Mar →
inferno9–60.0530%30 Mar →
inferno14–160.0219%28 Mar →
nuke6–9-0.078%28 Mar →
inferno13–9-0.0319%27 Mar →
nuke7–13-0.1021%27 Mar →
dust213–10-0.0511%27 Mar →
dust29–13-0.018%27 Feb →
inferno13–4-0.0118%6 Feb →

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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