Chappie

Chappie — CS2 Stats

76561198017178371[U:1:56912643]Steam profile ↗✓ No bans

162Tracked matches80%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGChappieFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning63
Utility36

0–100 skill scores via Leetify.

Recent form

HOT74–25–1Last 10074%Win rateWLWWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.4pp headshot accuracy · −43ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 586ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 603ms

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).

Aim6.9
Utility3.6
Positioning6.3
Opening Duels4.4

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 589ms 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

Aim6.9
Positioning6.3
Utility3.6
Mechanics6.2
Opening Duels3.6
Win Impact10.0

Composite 6.2/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time589ms+4ms
first ⅓ avg 585ms → last ⅓ avg 589ms
Headshot accuracy18.1%+2.5%
first ⅓ avg 15.5% → last ⅓ avg 18.1%

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

0.14Best match rating · 13–4 · ancient, 25 Jun →
35%Best headshot accuracy · 1–13 · vertigo, 6 Sept →
328msFastest reaction time · 4–13 · inferno, 1 Sept →
13–0Biggest win · anubis, 7 Feb →

Across the last 100 tracked matches.

Highlights

18Longest win streak
5–3In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 100% over 12overpassWeakest map · 58% over 24
MapGradePlayedRecordWin rateAvg rating
overpassA2414–1058%0.01
infernoS2217–577%0.03
nukeS2016–480%0.03
ancientS1412–286%0.02
anubisS1212–0100%0.04
vertigo—41–325%-0.03
cache—21–150%-0.04
mirage—10–10%-0.07
train—11–0100%-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (58% over 24). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

89Matches
49%Win rate
1.24Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

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.

18.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.7%Spray accuracy
78.0%Counter-strafing
10.5°Preaim
589msReaction time
41.6%T opening success
47.0%CT opening success
0.54Enemies flashed / flash
2.5%Flash assists
8.95HE damage / grenade
4.49Flashes / match

Recent matches

MapScoreRatingHS%Date
ancient13–40.1419%25 Jun →
ancient10–13-0.0122%8 Jun →
inferno13–90.0822%8 Jun →
nuke13–110.0217%8 Jun →
anubis6–8-0.018%7 Jun →
nuke13–110.0615%28 May →
ancient13–10.0218%28 May →
inferno13–6-0.0316%29 Apr →
cache13–7-0.0125%29 Apr →
nuke13–70.0010%29 Apr →
nuke13–50.0722%29 Apr →
inferno13–11-0.0324%29 Apr →
cache4–13-0.0712%29 Apr →
overpass10–13-0.0411%12 Mar →
ancient13–30.0718%20 Oct →
mirage10–13-0.079%20 Oct →
anubis13–4-0.0010%20 Oct →
overpass9–130.0419%20 Oct →
inferno13–20.0217%18 Jul →
nuke13–40.0124%18 Jul →
overpass11–130.0511%18 Jul →
ancient13–50.0119%18 Jul →
inferno13–100.0321%1 Apr →
anubis13–20.0924%1 Apr →
ancient13–70.0122%1 Apr →
ancient13–10-0.0117%8 Feb →
inferno13–40.0722%8 Feb →
train13–8-0.0234%6 Feb →
inferno13–30.0326%6 Feb →
anubis13–60.015%6 Feb →
ancient6–13-0.0019%6 Feb →
inferno13–50.0320%3 Feb →
inferno1–13-0.0216%3 Feb →
inferno8–00.1214%3 Feb →
nuke13–30.0921%3 Feb →
overpass5–13-0.0412%28 Jan →
inferno4–13-0.0329%28 Jan →
inferno6–13-0.0131%28 Jan →
inferno13–110.1021%28 Jan →
overpass5–13-0.0511%28 Jan →
ancient13–90.0227%5 Jan →
anubis13–40.0426%4 Nov →
ancient13–10.0924%4 Nov →
inferno6–1-0.0021%4 Nov →
overpass13–8-0.0817%13 Oct →
ancient13–40.0119%13 Oct →
ancient13–1-0.0326%30 Aug →
inferno6–00.1123%30 Aug →
anubis13–40.0223%30 Aug →
overpass13–70.0618%30 Aug →
nuke13–30.0418%3 Apr →
nuke13–20.0316%4 Mar →
ancient13–9-0.0724%4 Mar →
anubis13–00.1228%7 Feb →
nuke13–00.0423%7 Feb →
inferno11–10.0823%7 Feb →
ancient13–20.1033%28 Sept →
inferno13–00.1328%28 Sept →
overpass3–13-0.0910%20 Sept →
vertigo3–13-0.0833%20 Sept →
overpass13–80.0524%20 Sept →
inferno13–7-0.0120%6 Sept →
vertigo1–13-0.0735%6 Sept →
anubis13–60.0219%6 Sept →
overpass15–150.0222%4 Sept →
nuke8–00.0429%4 Sept →
overpass13–7-0.0316%4 Sept →
overpass13–10.0925%3 Sept →
nuke13–100.0719%3 Sept →
anubis13–20.0823%3 Sept →
overpass5–13-0.0524%3 Sept →
inferno13–90.0530%2 Sept →
overpass13–80.0015%2 Sept →
anubis13–20.0926%2 Sept →
nuke13–90.0124%2 Sept →
overpass13–20.1416%1 Sept →
nuke13–3-0.0322%1 Sept →
anubis13–7-0.010%1 Sept →
inferno4–13-0.050%1 Sept →
vertigo13–30.090%1 Sept →
overpass13–20.1313%1 Sept →
inferno13–10.1019%1 Sept →
vertigo9–16-0.0610%20 Aug →
overpass16–3-0.036%20 Aug →
overpass7–16-0.0320%19 Aug →
nuke16–60.0425%19 Aug →
overpass9–20.0417%11 Aug →
overpass14–16-0.0313%11 Jun →
overpass16–40.0418%10 Jun →
overpass16–70.0916%10 Jun →
nuke9–16-0.0414%10 Jun →
nuke16–70.0618%10 Jun →
overpass19–150.0017%26 Apr →
nuke26–28-0.0214%9 Apr →
nuke16–40.0316%9 Apr →
nuke8–16-0.0011%8 Apr →
overpass16–5-0.0211%8 Apr →
anubis9–5-0.0212%3 Apr →
inferno12–16-0.0415%30 Mar →
nuke13–16-0.036%30 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches18-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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