McViper

McViper — CS2 Stats

VU76561197960371468[U:1:105740]Steam profile ↗✓ No bans

2,637Tracked matches66%Win rate2021Tracked since
2,687Hours in CS4Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating12,499Blue band · top ~41.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,499 -2,140 15 Jul – 28 Sept · 28 days played
10,25015,961peak 15,96115 Jul28 Sept
15,961Peak Premier in tracked matches
32Days played since 2026-07-12

Premier CS Rating

  • 3,462 below peak (15,961)
  • Next: Purple band at 15,000 — 2,501 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.5%42.0%44.3%7.8% short
Shot accuracy9.4%9.6%11.9%2.5% short
Kill/death ratio0.940.981.030.09 short
Match win rate49.6%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMcViperPREMIER12,499 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning59
Utility16

0–100 skill scores via Leetify.

Recent form

COLD54–44–2Last 10054%Win rateLLLWLLWLTW

Last 10 vs previous 10: −60pp win rate · −0.05 avg rating · +1.7pp headshot accuracy · +68ms reaction

Win rate down 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 680ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 651ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 617ms

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 (+1.5 against its own average).

Aim3.3
Utility1.6
Positioning5.9
Opening Duels5.6

Limited 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 63% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning5.9
Utility1.6
Mechanics2.2
Opening Duels5.4
Win Impact10.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time601ms−29ms
first ⅓ avg 630ms → last ⅓ avg 601ms
Headshot accuracy19.3%−1.0%
first ⅓ avg 20.2% → last ⅓ avg 19.3%

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

0.19Best match rating · 9–4 · inferno, 17 Aug →
50%Best headshot accuracy · 6–1 · inferno, 21 Jul →
438msFastest reaction time · 10–13 · inferno, 22 Jul →
13–1Biggest win · ancient, 15 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 72% over 18anubisWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB3116–1552%-0.00
anubisC208–1240%-0.01
nukeA1912–763%0.02
ancientS1813–572%0.02
dust2C52–340%-0.03
cache—43–175%-0.04
mirage—30–30%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,615Lifetime kills
0.94K/D
4,072Matches
49.6%Match win rate · Top 25% of Blue band
36.5%Headshot %
9.4%Shot accuracy
10,129MVPs
1,370Hours (in match)
3,787Bombs planted
1,183Bombs defused

Most-used weapons

AWP16,340
AK-475,074
MAC-103,764
SG 5533,522
AUG3,059
MP92,605
SSG 082,198

Lifetime map wins

13,521nuke
6,051lake
6,025inferno
1,527vertigo
1,410dust2
81italy
35train
29office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.8%Headshot accuracy
29.8%Accuracy (enemy spotted)
32.0%Spray accuracy
60.0%Counter-strafing
13.0°Preaim
597msReaction time
47.5%T opening success
55.4%CT opening success
0.15Enemies flashed / flash
0.0%Flash assists
10.86HE damage / grenade
0.41Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.97° — above the 12° mark we flag

    Aim Training →
  2. 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 0.153 — below the 0.5 mark we flag

    Grenade Lineups →
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 20 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0814%28 Sept →
mirage11–130.0019%26 Sept →
inferno5–13-0.0516%26 Sept →
cache13–10-0.0018%26 Sept →
nuke5–13-0.0329%20 Aug →
mirage9–130.0112%20 Aug →
nuke13–70.0315%19 Aug →
nuke4–13-0.0119%19 Aug →
mirage15–15-0.0431%19 Aug →
dust213–10-0.0124%18 Aug →
inferno13–10-0.0415%18 Aug →
ancient13–9-0.0214%17 Aug →
inferno13–20.020%17 Aug →
inferno9–40.1924%17 Aug →
inferno9–50.0532%17 Aug →
anubis8–130.0123%16 Aug →
nuke13–60.0217%16 Aug →
anubis13–70.0715%15 Aug →
nuke13–5-0.0416%14 Aug →
nuke13–30.0123%14 Aug →
ancient13–90.0319%14 Aug →
inferno13–30.0726%14 Aug →
ancient13–40.0918%14 Aug →
nuke11–13-0.0121%14 Aug →
ancient13–100.0323%14 Aug →
nuke13–11-0.0319%14 Aug →
cache13–4-0.0314%14 Aug →
nuke13–80.1420%13 Aug →
inferno13–9-0.0019%13 Aug →
inferno10–13-0.0316%13 Aug →
cache13–11-0.0511%13 Aug →
inferno2–13-0.0932%11 Aug →
inferno13–2-0.0220%10 Aug →
dust212–16-0.0514%9 Aug →
inferno5–9-0.1322%9 Aug →
inferno7–9-0.0212%6 Aug →
inferno9–60.0212%6 Aug →
anubis8–13-0.0315%5 Aug →
inferno13–10-0.0113%5 Aug →
nuke11–13-0.0423%5 Aug →
ancient12–16-0.0113%4 Aug →
anubis13–11-0.0110%4 Aug →
ancient13–80.0011%4 Aug →
anubis5–13-0.0518%4 Aug →
ancient7–13-0.018%1 Aug →
dust214–16-0.0518%30 Jul →
anubis13–16-0.0522%30 Jul →
dust214–16-0.0413%30 Jul →
anubis11–13-0.0613%30 Jul →
nuke13–10-0.0130%30 Jul →
inferno4–13-0.0714%29 Jul →
anubis5–13-0.0312%29 Jul →
inferno4–13-0.0619%29 Jul →
anubis0–13-0.0521%29 Jul →
inferno13–90.0218%28 Jul →
inferno8–130.0227%27 Jul →
ancient7–13-0.0313%27 Jul →
inferno6–13-0.0121%26 Jul →
anubis8–13-0.0413%26 Jul →
anubis10–13-0.0129%26 Jul →
nuke4–130.0820%26 Jul →
inferno5–9-0.0211%26 Jul →
anubis7–13-0.0535%26 Jul →
inferno10–13-0.0911%22 Jul →
inferno6–10.0250%21 Jul →
inferno13–40.0733%21 Jul →
nuke15–150.0315%21 Jul →
nuke16–120.0520%21 Jul →
ancient12–160.0310%21 Jul →
nuke2–13-0.0728%21 Jul →
ancient16–130.0312%20 Jul →
ancient13–7-0.029%20 Jul →
anubis13–110.0423%18 Jul →
anubis13–50.0524%18 Jul →
nuke13–70.0231%17 Jul →
inferno3–13-0.0613%17 Jul →
ancient13–10-0.0212%17 Jul →
anubis13–100.0216%16 Jul →
dust213–11-0.0313%16 Jul →
anubis13–60.0425%16 Jul →
ancient8–130.0517%16 Jul →
inferno13–90.0227%16 Jul →
inferno1–7-0.0121%16 Jul →
inferno13–50.0919%15 Jul →
inferno16–12-0.0510%15 Jul →
ancient13–60.027%15 Jul →
anubis7–13-0.0113%15 Jul →
ancient10–40.0230%15 Jul →
nuke13–50.0450%15 Jul →
inferno13–60.0811%15 Jul →
ancient13–10.0019%15 Jul →
anubis13–5-0.0019%14 Jul →
ancient13–20.060%14 Jul →
anubis13–40.0025%14 Jul →
cache2–13-0.1028%13 Jul →
inferno10–130.0018%12 Jul →
ancient13–80.0623%12 Jul →
nuke13–60.0630%12 Jul →
nuke13–80.0929%12 Jul →
inferno10–13-0.0038%12 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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