Gunnars Mayo

Gunnars Mayo — CS2 Stats

DJ76561198132834561[U:1:172568833]Steam profile ↗✓ No bans

201Tracked matches50%Win rate2022Tracked since
845Hours in CS
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 201
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 7,860 +3,894 11 Nov – 7 Jan · 34 days played
3,96613,281peak 13,28111 Nov7 Jan
13,399Peak Premier in tracked matches
65Days played since 2023-09-15

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches11——
Win rate36%——
K/D0.66——
Headshot %40%——

Measured 23 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate34.6%43.7%44.8%10.2% short
Shot accuracy13.0%12.0%12.4%above
Kill/death ratio0.921.021.030.11 short
Match win rate45.0%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGunnars MayoFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim43
Positioning41
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateLWLLLWWTWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.2pp headshot accuracy · −4ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 22%
  • Avg reaction 681ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 714ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 716ms

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 (+1.7 against its own average).

Aim4.3
Utility3.8
Positioning4.1
Opening Duels1.6
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

donk

Plays most like donk 81% 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 45% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 745ms 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

Aim4.3
Positioning4.1
Utility3.8
Mechanics6.3
Opening Duels1.9
Win Impact5.0

Composite 4.3/10 (Developing), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time729ms+55ms
first ⅓ avg 674ms → last ⅓ avg 729ms
Headshot accuracy21.4%+4.8%
first ⅓ avg 16.6% → 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

0.13Best match rating · 13–7 · mirage, 2 Jan →
56%Best headshot accuracy · 7–13 · mirage, 26 Dec →
406msFastest reaction time · 5–2 · inferno, 29 Mar →
13–3Biggest win · cache, 4 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 75% over 8anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC187–1139%-0.04
vertigoB147–750%-0.05
ancientB137–654%-0.01
infernoB115–645%-0.03
overpassD102–820%-0.01
cacheB84–450%-0.05
mirageS86–275%0.01
anubisD71–614%-0.03
dust2B63–350%-0.05
train—30–30%-0.05
basalt—10–10%-0.10
edin—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,744Lifetime kills
0.92K/D
2,112Matches
45.0%Match win rate · Top 50% of Level 5 players
34.6%Headshot %
13.0%Shot accuracy · Top 50% of Level 5 players
4,147MVPs
845Hours (in match)
2,257Bombs planted
465Bombs defused

Most-used weapons

Lifetime map wins

8,061dust2
2,684inferno
1,282nuke
896vertigo
118train
50office
31cbble
23aztec

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

Faceit stats

Combat

21Matches
52%Win rate
0.80Avg K/D
61.1ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.8110.8
Vertigo540%0.8611.2
Overpass367%0.6510.3
Inferno333%0.6517.0
Anubis2100%0.869.5
Dust2250%0.7612.0
Ancient1100%1.3615.0

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.

20.4%Headshot accuracy
27.3%Accuracy (enemy spotted)
26.9%Spray accuracy
78.3%Counter-strafing
8.0°Preaim
745msReaction time
22.4%T opening success
45.2%CT opening success
0.56Enemies flashed / flash
0.6%Flash assists
11.98HE damage / grenade
2.29Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 744.6332ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2895 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 22.4314% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–9-0.1718%2 Oct →
cache13–30.0450%4 Jul →
cache6–13-0.047%3 Jul →
cache9–13-0.0617%25 May →
cache6–13-0.0818%25 May →
ancient13–110.0515%24 May →
cache13–3-0.0618%5 May →
cache12–12-0.0615%5 May →
cache13–11-0.098%30 Apr →
cache13–5-0.0211%30 Apr →
inferno13–100.0115%11 Apr →
overpass13–80.0627%11 Apr →
inferno13–40.0832%5 Apr →
dust213–11-0.0515%3 Apr →
overpass11–13-0.0413%3 Apr →
inferno8–13-0.0727%3 Apr →
anubis4–13-0.0821%29 Mar →
inferno5–2-0.1150%29 Mar →
overpass7–13-0.0821%29 Mar →
inferno7–13-0.098%22 Mar →
vertigo5–90.0626%21 Feb →
dust28–13-0.0425%21 Feb →
ancient9–13-0.0420%7 Jan →
overpass8–13-0.0324%4 Jan →
nuke7–9-0.0922%3 Jan →
mirage13–70.1316%2 Jan →
mirage13–90.0734%31 Dec →
ancient13–70.0816%30 Dec →
nuke13–10-0.0135%29 Dec →
nuke12–12-0.0815%26 Dec →
mirage7–13-0.0456%26 Dec →
ancient6–13-0.0713%26 Dec →
inferno7–13-0.050%26 Dec →
dust29–13-0.0421%19 Dec →
nuke6–13-0.0329%15 Dec →
mirage2–13-0.087%14 Feb →
anubis8–13-0.0914%13 Feb →
inferno13–9-0.0813%12 Feb →
nuke10–13-0.0311%10 Feb →
nuke16–120.0225%10 Feb →
dust213–9-0.0223%9 Feb →
ancient13–110.0011%9 Feb →
nuke15–15-0.0524%9 Feb →
nuke6–9-0.0818%24 Jan →
basalt4–13-0.1012%16 Nov →
edin13–80.0419%16 Nov →
train5–13-0.0717%16 Nov →
vertigo13–5-0.0914%16 Nov →
inferno13–40.0116%15 Nov →
train12–120.0127%15 Nov →
train12–12-0.0831%15 Nov →
dust29–13-0.1322%5 Oct →
nuke13–4-0.023%5 Oct →
ancient10–13-0.0616%14 Sept →
nuke13–11-0.0633%6 Sept →
vertigo13–4-0.0418%6 Sept →
dust213–7-0.018%11 May →
inferno7–90.0321%28 Apr →
overpass8–130.0121%12 Apr →
vertigo7–13-0.0417%29 Mar →
ancient5–13-0.1219%29 Mar →
vertigo2–13-0.1318%10 Mar →
vertigo13–5-0.0132%10 Mar →
ancient16–13-0.0118%6 Mar →
inferno10–13-0.0518%6 Mar →
anubis3–13-0.0513%24 Feb →
vertigo5–13-0.0450%24 Feb →
ancient8–13-0.0020%22 Feb →
inferno8–13-0.0715%19 Feb →
mirage13–90.0523%19 Feb →
vertigo9–13-0.0916%18 Feb →
mirage13–10-0.0426%18 Feb →
anubis13–70.0511%14 Feb →
anubis11–130.0121%12 Feb →
nuke6–13-0.078%11 Feb →
mirage13–11-0.0419%7 Feb →
nuke13–70.0024%6 Feb →
ancient13–9-0.0113%6 Feb →
overpass4–130.0429%27 Jan →
vertigo16–14-0.0418%25 Jan →
ancient13–80.012%23 Jan →
mirage13–70.0614%22 Jan →
ancient11–130.0323%20 Jan →
nuke11–13-0.0715%19 Jan →
overpass4–6-0.0119%15 Jan →
vertigo13–6-0.0716%11 Jan →
ancient13–40.0619%11 Jan →
nuke13–80.0310%29 Dec →
overpass14–16-0.0313%29 Dec →
anubis9–13-0.0211%23 Dec →
overpass3–13-0.0216%22 Dec →
vertigo11–13-0.0610%22 Dec →
nuke13–60.0616%22 Dec →
overpass13–70.0528%22 Dec →
anubis8–13-0.0616%16 Dec →
nuke11–13-0.0414%16 Dec →
vertigo16–13-0.0924%10 Dec →
vertigo16–13-0.0017%3 Dec →
vertigo11–130.018%11 Nov →
nuke9–13-0.0315%15 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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