gmaikelo

gmaikelo — CS2 Stats

PE76561198165375556[U:1:205109828]Steam profile ↗✓ No bans

1,820Tracked matches47%Win rate2020Tracked since
2,288Hours in CS
CSDB Rating7.0 StrongPositional Player
FaceitLevel 10 · 2,225 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate54.4%50.9%
Shot accuracy12.9%13.7%
Kill/death ratio1.031.09
Match win rate46.6%48.4%

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CSDB.GGgmaikeloFACEITLevel 10 · 2,225 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning75
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLWWWLWLLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +2.8pp headshot accuracy · −17ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 30%
  • Avg reaction 526ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 533ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 542ms

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 against its own average).

Aim8.6
Utility6.4
Positioning7.5
Opening Duels5.4
Clutch2.6

Sharp aimer

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 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 550ms 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

Aim8.6
Positioning7.5
Utility6.4
Mechanics6.0
Opening Duels6.5
Win Impact3.9

Composite 7.0/10 (Strong), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time548ms−88ms
first ⅓ avg 636ms → last ⅓ avg 548ms
Headshot accuracy25.3%−1.5%
first ⅓ avg 26.8% → last ⅓ avg 25.3%

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

0.15Best match rating · 13–7 · inferno, 10 Oct →
53%Best headshot accuracy · 5–13 · mirage, 12 Mar →
391msFastest reaction time · 7–13 · anubis, 19 Jun →
13–2Biggest win · overpass, 20 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

trainBest map · 71% over 7nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD186–1233%0.01
mirageB189–950%-0.00
anubisA159–660%-0.01
cacheB105–550%0.02
dust2A85–363%0.00
ancientC73–443%-0.01
overpassA74–357%-0.02
trainS75–271%0.03
nukeD61–517%-0.01
vertigo—10–10%0.00
boulder—10–10%0.07
edin—11–0100%0.00
basalt—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,410Lifetime kills
1.03K/D
4,764Matches
46.6%Match win rate
54.4%Headshot % · Top 50% of Level 10 players
12.9%Shot accuracy
11,512MVPs
2,288Hours (in match)
3,659Bombs planted
1,168Bombs defused

Most-used weapons

AK-4742,229
AWP7,877
Knife2,427
FAMAS1,867
MAC-101,493

Lifetime map wins

7,121inferno
3,088dust2
2,265nuke
2,024vertigo
1,294train
702cbble
107office
105dust

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

Faceit stats

Combat

2,482Matches
51%Win rate
1.05Avg K/D
77.6ADR
58%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage36150%1.0515.9
Anubis23246%1.0616.0
Inferno20650%1.0816.1
Dust29041%0.9514.9
Ancient8852%0.9915.5
Cache7257%1.1116.6
Nuke6253%1.0615.2
Overpass5657%1.0114.8

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
37.3%Accuracy (enemy spotted)
42.4%Spray accuracy
77.1%Counter-strafing
9.1°Preaim
550msReaction time
54.2%T opening success
58.1%CT opening success
0.53Enemies flashed / flash
4.1%Flash assists
10.24HE damage / grenade
13.67Flashes / match

Recommended for you

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0127%11 Nov →
inferno13–80.0136%28 Oct →
dust216–14-0.0331%27 Oct →
anubis16–130.0529%13 Oct →
cache8–130.1327%12 Oct →
mirage13–80.0625%9 Oct →
nuke2–130.0029%8 Oct →
cache10–130.0019%30 Sept →
mirage13–16-0.0416%30 Sept →
inferno13–100.0135%29 Sept →
inferno4–130.0226%26 Sept →
cache13–100.0238%26 Sept →
anubis8–130.0220%24 Sept →
inferno20–22-0.0320%23 Sept →
ancient13–30.0120%23 Sept →
cache16–140.0230%23 Sept →
inferno13–50.0526%18 Sept →
cache13–110.0223%6 Sept →
cache10–13-0.0123%5 Sept →
cache13–60.0620%2 Sept →
vertigo10–130.0027%10 Aug →
anubis13–90.0128%6 Aug →
mirage5–13-0.0721%6 Aug →
inferno4–13-0.0721%28 Jul →
boulder9–130.0732%15 Jul →
anubis13–11-0.0025%1 Jul →
cache11–130.0322%23 Jun →
inferno6–13-0.0523%22 Jun →
mirage13–50.0131%21 Jun →
nuke5–13-0.0317%20 Jun →
overpass13–2-0.0027%20 Jun →
anubis7–13-0.0114%19 Jun →
anubis14–16-0.0126%17 Jun →
mirage13–60.0322%15 Jun →
ancient6–13-0.0513%15 Jun →
mirage13–10-0.0124%12 Jun →
cache13–60.0232%6 Jun →
cache1–13-0.095%31 May →
dust213–90.0035%4 May →
anubis16–140.0129%30 Apr →
inferno8–13-0.0426%22 Apr →
ancient8–13-0.0322%27 Mar →
inferno5–13-0.0121%24 Mar →
inferno9–13-0.0137%22 Mar →
inferno9–13-0.0235%21 Mar →
anubis9–130.0418%18 Mar →
anubis13–80.0325%15 Mar →
ancient10–13-0.0421%15 Mar →
ancient5–13-0.0740%14 Mar →
nuke13–16-0.0528%14 Mar →
mirage5–13-0.0553%12 Mar →
dust213–10-0.0424%12 Mar →
anubis16–14-0.0530%11 Mar →
inferno13–50.0337%8 Mar →
overpass4–13-0.0633%1 Mar →
anubis8–13-0.0426%28 Feb →
nuke13–40.0523%8 Feb →
anubis10–13-0.0033%3 Feb →
train5–130.0348%10 Jan →
dust24–13-0.0539%29 Dec →
mirage13–9-0.0436%25 Dec →
mirage11–13-0.0524%25 Dec →
nuke9–130.0153%23 Dec →
overpass13–110.0022%19 Dec →
mirage13–70.0352%18 Dec →
train13–60.0734%17 Dec →
train7–130.0538%10 Dec →
train13–7-0.0128%8 Dec →
dust22–130.0135%2 Dec →
dust213–10-0.0118%29 Nov →
overpass13–2-0.0318%29 Nov →
dust213–40.1338%27 Nov →
mirage13–30.1325%26 Nov →
overpass13–7-0.0033%26 Nov →
overpass11–13-0.0324%8 Nov →
inferno14–160.0225%2 Oct →
ancient13–40.0515%29 Sept →
mirage13–60.0928%7 Sept →
inferno15–190.0127%31 Aug →
inferno5–130.0020%28 Aug →
ancient13–90.0828%6 Aug →
overpass11–13-0.0623%3 Aug →
inferno13–70.0724%8 Jun →
anubis13–10-0.0128%2 Mar →
edin13–100.0032%26 Feb →
mirage13–80.1335%26 Feb →
anubis13–5-0.0624%15 Feb →
train13–11-0.0139%13 Feb →
dust26–13-0.0135%17 Jan →
train19–160.0028%8 Jan →
mirage11–13-0.0631%7 Jan →
nuke3–13-0.0624%6 Jan →
anubis13–11-0.0427%17 Dec →
mirage4–13-0.0129%8 Dec →
basalt8–13-0.0325%14 Nov →
train13–30.0616%14 Nov →
mirage15–19-0.0128%4 Nov →
mirage5–13-0.0933%11 Oct →
inferno13–70.1523%10 Oct →
mirage4–13-0.1017%7 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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