mops

mops — CS2 Stats

76561198012071744[U:1:51806016]Steam profile ↗✓ No bans

867Tracked matches60%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
CSDB Leaderboard#67359 of 221110 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 4 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,454 -1,269 4 Jan2 Jul · 34 days played
18,55424,506peak 24,5064 Jan2 Jul
24,506Peak Premier in tracked matches
48Days played since 2026-01-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGmopsFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning55
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateWWLLWWWLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.1pp headshot accuracy · −18ms 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 655ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 612ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 621ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim5.8
Utility5.6
Positioning5.5
Opening Duels2.5
Clutch0.0

Strong CT-side openerLimited 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 78% 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

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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
Positioning5.5
Utility5.6
Mechanics6.7
Opening Duels2.5
Win Impact8.3

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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time601ms−15ms
first ⅓ avg 615ms → last ⅓ avg 601ms
Headshot accuracy18.3%−2.6%
first ⅓ avg 20.9% → last ⅓ avg 18.3%

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

0.09Best match rating · 13–10 · inferno, 24 Mar
37%Best headshot accuracy · 14–16 · inferno, 18 Mar
422msFastest reaction time · 11–13 · inferno, 17 May
13–0Biggest win · mirage, 14 May

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
1110In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 67% over 6anubisWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA31171455%-0.02
mirageB29141548%-0.02
anubisC156940%-0.02
ancientB136746%-0.02
overpassS64267%-0.01
cache220100%-0.04
train21150%-0.02
dust2110100%0.02
nuke1010%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

275Matches
53%Win rate
1.00Avg K/D
78.0ADR
42%Headshot %

Clutches & streaks

18%1v1 clutch win
14%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2070%1.0114.8
Mirage1937%0.7211.2
Anubis1050%1.0317.3
Nuke862%1.0215.9
Dust2560%1.0212.2
Ancient540%0.9918.2
Train2100%0.7513.0
Overpass1100%0.8012.0

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.

18.0%Headshot accuracy
27.3%Accuracy (enemy spotted)
31.7%Spray accuracy
80.3%Counter-strafing
8.2°Preaim
608msReaction time
29.7%T opening success
50.0%CT opening success
0.48Enemies flashed / flash
3.4%Flash assists
11.25HE damage / grenade
3.88Flashes / 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 0.4781 — 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 29.6537% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0118%1 Aug
mirage13–110.0326%30 Jul
ancient11–13-0.0514%30 Jul
mirage9–13-0.0317%30 Jul
cache13–6-0.0114%30 Jul
inferno13–11-0.059%17 Jul
ancient13–60.0632%2 Jul
anubis9–13-0.0215%2 Jul
mirage13–6-0.0519%28 Jun
anubis6–13-0.086%24 Jun
ancient13–90.0421%24 Jun
mirage10–13-0.0114%24 Jun
ancient3–13-0.067%24 Jun
anubis13–11-0.0118%21 Jun
mirage13–80.0117%21 Jun
inferno2–13-0.1513%18 Jun
inferno13–9-0.0724%16 Jun
inferno13–8-0.0116%16 Jun
ancient13–80.0110%9 Jun
mirage9–13-0.0832%9 Jun
inferno11–13-0.0527%2 Jun
ancient16–14-0.0525%28 May
mirage6–130.0214%28 May
ancient10–13-0.0226%26 May
inferno13–5-0.0215%26 May
anubis13–8-0.0410%26 May
inferno11–13-0.0315%17 May
mirage13–0-0.0217%14 May
anubis13–00.0015%14 May
mirage13–50.0124%14 May
anubis5–13-0.0628%4 May
cache13–10-0.0824%4 May
inferno16–140.0122%26 Apr
dust213–50.0214%13 Apr
ancient12–16-0.0619%10 Apr
anubis13–10-0.0219%10 Apr
inferno10–130.0128%10 Apr
mirage13–100.0020%7 Apr
inferno10–130.0423%7 Apr
mirage13–11-0.0522%7 Apr
inferno5–13-0.116%6 Apr
anubis11–130.0222%31 Mar
inferno13–100.0920%24 Mar
overpass13–40.0328%22 Mar
mirage5–130.0233%22 Mar
inferno14–16-0.0337%18 Mar
inferno16–14-0.0221%18 Mar
anubis8–13-0.0413%16 Mar
anubis5–13-0.0419%11 Mar
ancient13–11-0.0023%11 Mar
inferno10–13-0.0428%11 Mar
inferno13–60.0025%9 Mar
mirage14–160.0418%9 Mar
overpass13–2-0.0512%4 Mar
inferno11–13-0.0113%3 Mar
ancient10–13-0.069%3 Mar
anubis4–13-0.0317%3 Mar
anubis15–15-0.0512%28 Feb
anubis10–13-0.0327%28 Feb
overpass2–13-0.0621%28 Feb
inferno5–13-0.0413%25 Feb
mirage16–14-0.0010%25 Feb
inferno2–13-0.0513%25 Feb
mirage6–130.0212%25 Feb
mirage7–13-0.0614%23 Feb
inferno13–100.0018%23 Feb
mirage11–13-0.0717%23 Feb
inferno6–13-0.0428%22 Feb
ancient2–13-0.0515%22 Feb
mirage5–13-0.0630%22 Feb
mirage8–13-0.0925%19 Feb
mirage8–130.0327%16 Feb
inferno13–6-0.0125%12 Feb
mirage13–10-0.0211%12 Feb
mirage13–11-0.0216%10 Feb
mirage11–13-0.1017%10 Feb
inferno13–9-0.0125%5 Feb
anubis13–60.0319%5 Feb
inferno10–130.0019%5 Feb
anubis13–90.0121%22 Jan
inferno13–6-0.0310%22 Jan
inferno13–60.0416%19 Jan
overpass11–130.0116%19 Jan
mirage13–10-0.0324%18 Jan
inferno13–6-0.0522%18 Jan
train8–13-0.0121%14 Jan
ancient6–13-0.0219%14 Jan
train13–5-0.0323%12 Jan
mirage13–3-0.0027%12 Jan
inferno13–8-0.0218%11 Jan
mirage16–13-0.0220%11 Jan
inferno16–13-0.0418%8 Jan
overpass13–8-0.0117%8 Jan
mirage13–60.0123%5 Jan
nuke10–13-0.0235%5 Jan
ancient13–8-0.0523%5 Jan
mirage10–13-0.0223%5 Jan
inferno15–15-0.0816%4 Jan
overpass13–3-0.0015%4 Jan
mirage9–130.0429%4 Jan

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 →