Mr. Big Nips

Mr. Big Nips — CS2 Stats

FI76561197990911766[U:1:30646038]Steam profile ↗VAC banned

551Tracked matches50%Win rate2020Tracked since
1,022Hours in CS
CSDB Rating4.2 DevelopingPositional Player
CSDB Leaderboard#69902 of 232602 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 15 Sep 2022. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,475 +8,089 10 Nov11 Feb · 14 days played
11,93220,475peak 20,47510 Nov11 Feb
20,475Peak Premier in tracked matches
38Days played since 2022-09-15

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 Level 4 among CSDB-tracked players (n=12,847), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.3%42.7%43.8%3.5% short
Shot accuracy13.6%11.3%12.0%above
Kill/death ratio0.740.991.020.28 short
Match win rate41.3%43.9%44.7%3.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMr. Big NipsFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim35
Positioning56
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY41554Last 10041%Win rateLLWWLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.5pp headshot accuracy · +9ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 656ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 649ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 645ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim3.5
Utility4.5
Positioning5.6
Opening Duels3.2

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

ZywOo

Plays most like ZywOo 63% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.5
Positioning5.6
Utility4.5
Mechanics4.2
Opening Duels2.4
Win Impact5.0

Composite 4.2/10 (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-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time638ms+33ms
first ⅓ avg 605ms → last ⅓ avg 638ms
Headshot accuracy16.2%+1.5%
first ⅓ avg 14.8% → last ⅓ avg 16.2%

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

0.17Best match rating · 13–2 · inferno, 17 Nov
39%Best headshot accuracy · 13–9 · inferno, 22 Mar
422msFastest reaction time · 16–8 · nuke, 15 Sept
16–3Biggest win · nuke, 25 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
710In matches decided by ≤2 rounds
45Overtime games

Map breakdown

ancientBest map · 58% over 12dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2191243%-0.04
nukeA2011955%-0.05
mirageC1761135%-0.05
overpassC145936%-0.06
ancientA127558%-0.03
dust2D82625%-0.04
vertigo31233%-0.06
anubis2020%-0.08
train2020%-0.02
tuscan1010%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,504Lifetime kills
0.74K/D
2,260Matches
41.3%Match win rate
40.3%Headshot %
13.6%Shot accuracy · Top 50% of Level 4 players
4,481MVPs
1,022Hours (in match)
2,521Bombs planted
412Bombs defused

Most-used weapons

Lifetime map wins

4,988inferno
2,653dust2
2,460train
2,406nuke
584cbble
302vertigo
55dust
52militia

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

Faceit stats

Combat

86Matches
49%Win rate
0.68Avg K/D
ADR
43%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1100%0.7515.0
Inferno10%0.7911.0
Nuke10%0.338.0

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.

16.4%Headshot accuracy
28.0%Accuracy (enemy spotted)
34.7%Spray accuracy
68.9%Counter-strafing
11.7°Preaim
645msReaction time
42.8%T opening success
36.8%CT opening success
0.49Enemies flashed / flash
5.2%Flash assists
7.10HE damage / grenade
7.41Flashes / 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. 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 0.4921 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.7837% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0910%28 Nov
dust26–13-0.0912%28 Nov
overpass13–3-0.0410%28 Nov
inferno13–80.0331%28 Nov
nuke8–13-0.0713%28 Nov
mirage14–160.0125%19 Aug
mirage13–50.0518%12 Aug
ancient7–13-0.0229%12 Aug
nuke13–9-0.0018%11 Aug
dust28–13-0.0522%11 Aug
nuke14–16-0.066%31 Mar
inferno13–9-0.0539%22 Mar
nuke13–6-0.1111%22 Mar
nuke16–14-0.0113%11 Feb
inferno13–60.0423%10 Feb
ancient13–11-0.048%10 Feb
nuke6–13-0.0223%22 Jan
ancient16–14-0.0217%30 Dec
overpass5–13-0.0619%16 Dec
nuke13–8-0.0524%16 Dec
ancient13–8-0.0210%16 Dec
overpass13–9-0.0410%16 Dec
inferno4–13-0.1019%16 Dec
overpass11–13-0.0111%30 Nov
ancient5–13-0.0714%30 Nov
overpass6–13-0.0515%22 Nov
ancient13–3-0.027%22 Nov
inferno6–13-0.0512%22 Nov
overpass13–11-0.0215%22 Nov
inferno7–13-0.0410%21 Nov
mirage13–9-0.0719%21 Nov
nuke13–3-0.0510%19 Nov
ancient15–15-0.0014%19 Nov
anubis4–13-0.0921%18 Nov
mirage5–13-0.0614%18 Nov
overpass6–13-0.1010%18 Nov
ancient13–30.007%18 Nov
inferno13–10-0.0317%18 Nov
inferno13–20.1719%17 Nov
dust213–90.1127%17 Nov
overpass13–3-0.0716%16 Nov
overpass11–13-0.0715%15 Nov
anubis2–13-0.0812%15 Nov
ancient6–13-0.0412%15 Nov
nuke13–9-0.0710%15 Nov
inferno9–13-0.0923%15 Nov
overpass10–13-0.0716%14 Nov
nuke13–7-0.0510%14 Nov
nuke14–16-0.0514%13 Nov
inferno9–13-0.0719%13 Nov
mirage13–4-0.0216%13 Nov
mirage3–13-0.1515%13 Nov
vertigo13–11-0.0330%13 Nov
vertigo7–13-0.0913%10 Nov
nuke13–8-0.0717%10 Sept
nuke3–13-0.128%8 Sept
ancient13–11-0.053%8 Sept
inferno13–160.0113%12 Aug
vertigo15–15-0.0621%11 Aug
mirage13–16-0.0513%13 May
nuke6–90.1026%17 Dec
dust28–80.0128%17 Dec
mirage8–8-0.026%17 Dec
tuscan7–90.0430%17 Dec
overpass14–16-0.098%4 Dec
ancient16–13-0.0819%4 Dec
ancient18–22-0.0416%26 Sept
dust213–16-0.0718%25 Sept
mirage7–16-0.0812%25 Sept
nuke16–3-0.0127%25 Sept
dust28–16-0.098%25 Sept
mirage9–16-0.0418%25 Sept
inferno16–14-0.0422%24 Sept
overpass13–16-0.0914%24 Sept
inferno16–12-0.0514%24 Sept
train8–16-0.027%24 Sept
nuke16–4-0.064%24 Sept
train4–16-0.0215%24 Sept
inferno10–16-0.0717%24 Sept
mirage11–16-0.0314%24 Sept
inferno8–16-0.0419%22 Sept
nuke8–16-0.144%22 Sept
mirage16–11-0.0510%22 Sept
mirage15–19-0.0717%21 Sept
inferno16–5-0.0516%21 Sept
mirage8–16-0.0727%20 Sept
overpass17–19-0.0717%20 Sept
dust211–16-0.0915%20 Sept
inferno13–16-0.0817%20 Sept
overpass16–13-0.039%19 Sept
mirage16–10-0.0514%19 Sept
inferno20–22-0.047%17 Sept
mirage16–13-0.0810%17 Sept
nuke12–16-0.0220%17 Sept
dust216–8-0.0619%17 Sept
inferno9–16-0.0515%17 Sept
nuke11–16-0.0713%17 Sept
inferno16–10-0.0615%15 Sept
inferno20–22-0.0724%15 Sept
nuke16–8-0.0211%15 Sept

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 →