PeppaNig

PeppaNig — CS2 Stats

JM76561198193414869[U:1:233149141]Steam profile ↗✓ No bans

452Tracked matches34%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating14,679Blue band · top ~30.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Apr 2026 (189 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: 14,679 +205 22 Apr – 26 Apr · 3 days played
14,47414,785peak 14,78522 Apr26 Apr
14,885Peak Premier in tracked matches
62Days played since 2025-07-15

Premier CS Rating

  • 106 below peak (14,785)
  • Next: Purple band at 15,000 — 321 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGPeppaNigPREMIER14,679 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility56

0–100 skill scores via Leetify.

Recent form

COLD38–55–7Last 10038%Win rateLWLLLTLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.3pp headshot accuracy · +6ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 616ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 650ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 647ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim7.7
Utility5.6
Positioning5.6
Opening Duels4.2
Clutch2.6

Effective flashes

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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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. 650ms 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

Aim7.7
Positioning5.6
Utility5.6
Mechanics8.2
Opening Duels3.9
Win Impact0.0

Composite 5.6/10 (Solid), 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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time645ms+27ms
first ⅓ avg 618ms → last ⅓ avg 645ms
Headshot accuracy23.6%+3.9%
first ⅓ avg 19.7% → last ⅓ avg 23.6%

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

0.11Best match rating · 13–9 · inferno, 22 Jul →
43%Best headshot accuracy · 11–13 · dust2, 15 Jun →
430msFastest reaction time · 2–13 · vertigo, 27 Jul →
13–3Biggest win · cache, 2 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 50% over 14ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C176–1135%-0.01
infernoB147–750%0.00
anubisC125–742%-0.01
overpassB115–645%0.03
ancientD102–820%-0.03
mirageC83–538%-0.01
cacheD72–529%-0.02
grail—41–325%-0.00
palacio—32–167%0.02
train—32–167%0.03
nuke—21–150%-0.04
golden—20–20%-0.02
jura—20–20%-0.02
vertigo—21–150%-0.04
boulder—10–10%-0.06
fachwerk—11–0100%-0.04
italy—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
57%Win rate
1.38Avg K/D
83.2ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
26%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%1.2417.5
Dust2560%1.4127.4
Ancient475%1.1515.3
Anubis367%1.0314.3
Vertigo333%1.0116.0
Inferno2100%1.9422.5
Overpass1100%1.2012.0
Nuke10%0.8012.0

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.

23.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
32.1%Spray accuracy
86.7%Counter-strafing
7.0°Preaim
650msReaction time
40.0%T opening success
51.1%CT opening success
0.73Enemies flashed / flash
4.6%Flash assists
9.65HE damage / grenade
11.36Flashes / 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

    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 39.9594% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder10–13-0.0610%12 Jul →
fachwerk13–4-0.0421%12 Jul →
dust211–130.0143%15 Jun →
nuke11–13-0.0428%10 Jun →
cache1–13-0.0815%8 Jun →
cache12–12-0.0219%6 Jun →
cache10–130.0321%3 May →
cache13–70.0035%3 May →
cache10–13-0.0723%2 May →
cache13–30.0421%2 May →
cache8–13-0.0215%2 May →
dust27–130.0233%26 Apr →
inferno9–130.0122%23 Apr →
ancient13–7-0.0218%23 Apr →
anubis8–13-0.0422%22 Apr →
overpass13–40.0936%22 Apr →
overpass10–130.0221%9 Apr →
mirage7–13-0.0335%7 Apr →
inferno13–4-0.0418%7 Apr →
dust213–11-0.0020%4 Mar →
ancient6–13-0.0320%12 Feb →
overpass13–110.0818%12 Feb →
anubis11–13-0.0126%11 Feb →
overpass6–130.0415%10 Feb →
dust211–130.0120%10 Feb →
anubis14–16-0.0116%10 Feb →
dust216–13-0.0226%8 Feb →
dust213–50.0623%5 Feb →
mirage11–130.0035%5 Feb →
mirage11–13-0.0425%2 Feb →
dust27–13-0.0721%2 Feb →
anubis9–13-0.0527%2 Feb →
anubis13–70.0330%31 Jan →
overpass11–13-0.0120%26 Jan →
ancient13–100.0017%23 Jan →
anubis7–13-0.0213%23 Jan →
dust213–100.0323%23 Jan →
inferno16–130.0115%22 Jan →
palacio8–13-0.0328%20 Jan →
mirage13–9-0.0435%19 Jan →
inferno3–60.0110%18 Jan →
dust21–8-0.0832%18 Jan →
ancient10–130.0230%16 Jan →
ancient6–10-0.0517%10 Jan →
inferno11–13-0.0422%10 Jan →
ancient2–130.0221%9 Jan →
inferno3–13-0.0431%8 Jan →
dust29–13-0.0119%8 Jan →
inferno13–80.0736%7 Jan →
mirage13–100.0527%7 Jan →
anubis4–13-0.0028%23 Dec →
inferno7–13-0.0022%20 Dec →
overpass13–110.1129%13 Dec →
dust216–140.0127%10 Dec →
inferno8–13-0.0439%9 Dec →
golden12–120.018%9 Oct →
palacio13–70.0619%9 Oct →
golden3–13-0.0515%8 Oct →
palacio13–30.0416%8 Oct →
overpass1–8-0.0525%29 Sept →
jura7–13-0.0821%28 Sept →
grail0–4-0.0420%24 Sept →
dust212–120.0025%24 Sept →
overpass7–130.0411%22 Sept →
anubis13–6-0.0229%18 Sept →
mirage13–8-0.0221%11 Sept →
inferno13–9-0.029%11 Sept →
nuke13–10-0.0316%7 Sept →
ancient2–10-0.070%4 Sept →
italy12–12-0.0316%3 Sept →
anubis13–11-0.0223%3 Sept →
mirage6–130.0321%1 Sept →
dust23–7-0.0917%1 Sept →
train6–00.0832%1 Sept →
inferno11–13-0.0515%31 Aug →
grail13–90.0313%31 Aug →
overpass1–6-0.040%26 Aug →
anubis13–110.0418%25 Aug →
train7–130.0324%25 Aug →
dust213–30.0521%25 Aug →
inferno13–70.0420%21 Aug →
ancient1–13-0.0520%19 Aug →
inferno13–30.0428%19 Aug →
anubis10–13-0.0311%6 Aug →
dust29–13-0.0128%6 Aug →
mirage9–13-0.0319%6 Aug →
dust22–13-0.0424%5 Aug →
jura4–130.0327%28 Jul →
anubis13–9-0.0224%28 Jul →
grail12–12-0.0018%27 Jul →
train13–5-0.0120%27 Jul →
overpass13–80.0223%27 Jul →
vertigo2–13-0.0530%27 Jul →
dust212–12-0.0417%26 Jul →
vertigo13–7-0.0319%26 Jul →
grail12–120.0023%26 Jul →
overpass13–50.0025%24 Jul →
inferno13–90.1127%22 Jul →
ancient4–13-0.0418%21 Jul →
ancient7–13-0.0614%15 Jul →

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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