MGP

MGP — CS2 Stats

76561198262873699[U:1:302607971]Steam profile ↗✓ No bans

1,575Tracked matches52%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+50Tracked matches · now 1,575
+7.4ppWin rate · 44.4% → 51.8%

Rating over time

25Days played since 2026-07-13

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

Performance scores

Aim69
Positioning71
Utility45

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLWWLTLWLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · −5ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 664ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 630ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 633ms

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 (+3.5 against its own average).

Aim6.9
Utility4.5
Positioning7.1
Opening Duels2.7
Clutch0.2

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

donk

Plays most like donk 81% 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

Reaction time. 619ms 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

Aim6.9
Positioning7.1
Utility4.5
Mechanics8.1
Opening Duels5.0
Win Impact5.6

Composite 6.4/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time620ms−14ms
first ⅓ avg 634ms → last ⅓ avg 620ms
Headshot accuracy25.7%+2.1%
first ⅓ avg 23.6% → last ⅓ avg 25.7%

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

0.12Best match rating · 13–6 · cache, 27 Aug →
50%Best headshot accuracy · 0–4 · rush_001, 10 Oct →
438msFastest reaction time · 8–13 · ancient, 25 Jul →
13–1Biggest win · mirage, 6 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 71% over 7dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC208–1240%-0.02
cacheB209–1145%-0.03
nukeB158–753%-0.02
infernoA148–657%-0.01
dust2C83–538%-0.01
ancientS75–271%-0.00
anubisS64–267%-0.02
train—41–325%-0.01
vertigo—31–233%-0.05
rush_001—20–20%-0.08
office—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

333Matches
51%Win rate
1.13Avg K/D
69.0ADR
52%Headshot %

Clutches & streaks

21%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1560%0.8711.7
Mirage1173%1.0612.8
Dust2425%0.9213.5
Anubis30%0.578.7
Ancient20%0.7515.5
Overpass10%0.7512.0

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.

25.6%Headshot accuracy
30.1%Accuracy (enemy spotted)
34.3%Spray accuracy
86.4%Counter-strafing
11.0°Preaim
619msReaction time
53.1%T opening success
46.6%CT opening success
0.47Enemies flashed / flash
8.8%Flash assists
6.39HE damage / grenade
6.67Flashes / 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 0.4741 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0447%15 Oct →
train7–13-0.0215%15 Oct →
nuke13–30.0424%15 Oct →
vertigo13–7-0.0127%15 Oct →
dust211–13-0.0227%15 Oct →
mirage12–12-0.0426%15 Oct →
dust25–13-0.0324%11 Oct →
nuke13–50.0143%11 Oct →
cache8–130.0123%11 Oct →
inferno4–130.0920%11 Oct →
vertigo7–13-0.0919%11 Oct →
mirage10–13-0.0217%11 Oct →
cache10–13-0.0030%11 Oct →
rush_0017–8-0.070%10 Oct →
rush_0010–4-0.0850%10 Oct →
ancient13–110.0127%10 Oct →
inferno13–10-0.0641%9 Oct →
dust213–110.0427%8 Oct →
nuke12–12-0.0719%6 Oct →
dust27–13-0.0817%6 Oct →
cache12–12-0.0518%6 Oct →
inferno13–11-0.0322%6 Oct →
dust213–110.0232%5 Oct →
mirage13–10-0.0218%4 Oct →
cache8–13-0.0148%4 Oct →
nuke13–80.0129%4 Oct →
dust29–13-0.0226%3 Oct →
train13–110.0119%3 Oct →
inferno13–80.0337%3 Oct →
anubis13–10-0.0511%3 Oct →
mirage11–130.0423%29 Sept →
mirage13–90.0218%29 Sept →
mirage13–20.0225%8 Sept →
inferno13–2-0.0133%6 Sept →
anubis13–9-0.0415%6 Sept →
mirage13–1-0.0825%6 Sept →
mirage1–13-0.0343%6 Sept →
cache7–13-0.0421%5 Sept →
mirage11–13-0.0135%5 Sept →
office6–130.0233%5 Sept →
ancient13–70.0217%5 Sept →
inferno3–130.0133%5 Sept →
nuke4–13-0.0421%4 Sept →
mirage11–13-0.0126%27 Aug →
nuke4–13-0.0822%27 Aug →
anubis2–13-0.1012%27 Aug →
cache13–60.1225%27 Aug →
cache6–13-0.0226%27 Aug →
cache13–5-0.0724%27 Aug →
nuke13–8-0.0317%27 Aug →
mirage8–13-0.0226%27 Aug →
cache16–13-0.0519%23 Aug →
ancient9–13-0.0425%23 Aug →
mirage13–10-0.0321%23 Aug →
train11–13-0.0115%18 Aug →
train11–13-0.0333%18 Aug →
cache13–8-0.0327%18 Aug →
nuke13–9-0.0641%18 Aug →
ancient13–2-0.0415%18 Aug →
inferno4–13-0.0620%18 Aug →
dust23–13-0.0827%18 Aug →
dust213–20.0522%16 Aug →
nuke10–13-0.0420%16 Aug →
inferno12–120.0324%3 Aug →
cache9–13-0.0914%3 Aug →
nuke3–130.0235%3 Aug →
cache7–13-0.0614%3 Aug →
mirage13–10-0.0021%3 Aug →
ancient13–20.0229%3 Aug →
ancient8–13-0.0320%25 Jul →
mirage12–12-0.0220%25 Jul →
anubis12–120.0028%25 Jul →
cache13–5-0.0338%25 Jul →
cache13–40.0033%17 Jul →
mirage13–8-0.0223%17 Jul →
vertigo11–13-0.0445%17 Jul →
nuke12–5-0.0124%17 Jul →
nuke13–100.0133%17 Jul →
inferno13–7-0.0516%16 Jul →
cache3–13-0.0517%16 Jul →
cache1–13-0.0620%16 Jul →
inferno13–40.0316%16 Jul →
mirage13–80.0119%16 Jul →
anubis13–50.0529%16 Jul →
nuke5–13-0.0317%15 Jul →
nuke4–13-0.0721%15 Jul →
nuke13–7-0.0419%15 Jul →
mirage10–13-0.0221%14 Jul →
cache10–13-0.0829%14 Jul →
mirage10–13-0.0421%14 Jul →
inferno13–11-0.0515%14 Jul →
mirage11–13-0.0618%14 Jul →
anubis10–3-0.0130%14 Jul →
inferno13–8-0.024%14 Jul →
ancient13–50.0522%14 Jul →
cache13–6-0.0339%14 Jul →
cache13–6-0.0213%14 Jul →
inferno7–13-0.0616%13 Jul →
cache13–110.0236%13 Jul →
mirage6–13-0.0125%13 Jul →

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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