Chagindecai [DG]

Chagindecai [DG] — CS2 Stats

ES76561199383827510[U:1:1423561782]Steam profile ↗✓ No bans

1,197Tracked matches48%Win rate2024Tracked since
2,460Hours in CS11Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating17,392Purple band · top ~18.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (5 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: 17,392 -4,524 4 Jul – 25 Oct · 21 days played
17,39222,424peak 22,4244 Jul25 Oct
22,424Peak Premier in tracked matches
1,649Highest Faceit ELO seen on CSDB
26Days played since 2026-07-04

Faceit ELO

  • At peak — 1,649
  • Next: Level 9 at 1,751 — 102 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 5,032 below peak (22,424)
  • -2,111 over 30 days · declining
  • -1,626 over 90 days
  • Next: Pink band at 20,000 — 2,608 to go
  • Reached: Pink band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.1%44.4%46.9%meets
Shot accuracy0.1%11.9%13.0%12.9% short
Kill/death ratio1.111.031.08above
Match win rate48.3%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGChagindecai [DG]PREMIER17,392 · Purple bandPEAK ELO1,649csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning63
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWWWTLWTLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.2pp headshot accuracy · −37ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 527ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 513ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 531ms

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 (+1.4 against its own average).

Aim7.3
Utility5.5
Positioning6.3
Opening Duels4.6
Clutch3.4

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 93% 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 →

CSDB Rating breakdown

Aim7.3
Positioning6.3
Utility5.5
Mechanics5.9
Opening Duels5.6
Win Impact4.4

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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time524ms−12ms
first ⅓ avg 536ms → last ⅓ avg 524ms
Headshot accuracy24.5%+4.1%
first ⅓ avg 20.4% → last ⅓ avg 24.5%

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

0.29Best match rating · 9–0 · nuke, 4 Oct →
56%Best headshot accuracy · 9–3 · inferno, 27 Sept →
375msFastest reaction time · 1–9 · vertigo, 4 Oct →
13–0Biggest win · anubis, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 77% over 13dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC2410–1442%0.02
ancientC167–944%0.00
anubisS1310–377%0.01
cacheB115–645%0.00
nukeC104–640%-0.01
dust2D93–633%0.00
mirageB84–450%-0.01
vertigo—42–250%-0.00
eldorado—32–167%-0.02
overpass—20–20%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,358Lifetime kills
1.11K/D · Top 50% of Purple band
2,647Matches
48.3%Match win rate · Top 25% of Purple band
46.1%Headshot % · Top 50% of Purple band
0.1%Shot accuracy
7,507MVPs
1,241Hours (in match)
4,104Bombs planted
830Bombs defused

Most-used weapons

Lifetime map wins

5,196inferno
3,093nuke
3,034vertigo
2,071dust2
449train
61office
20italy
18aztec

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

Faceit stats

Combat

282Matches
54%Win rate
1.11Avg K/D
83.8ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6665%1.1817.5
Dust24134%0.9715.0
Inferno3850%1.1116.8
Mirage3850%0.9615.5
Nuke2966%1.3115.9
Anubis2846%1.0915.7
Vertigo2357%1.0716.4
Train956%1.2916.9

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.

23.5%Headshot accuracy
32.0%Accuracy (enemy spotted)
32.4%Spray accuracy
76.6%Counter-strafing
9.6°Preaim
527msReaction time
53.8%T opening success
51.0%CT opening success
0.48Enemies flashed / flash
7.6%Flash assists
8.22HE damage / grenade
11.68Flashes / 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 0.4831 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0214%25 Oct →
inferno9–60.0830%25 Oct →
inferno13–50.0737%25 Oct →
anubis13–60.0727%25 Oct →
inferno8–8-0.0629%25 Oct →
ancient6–13-0.0518%25 Oct →
dust216–130.0422%25 Oct →
dust215–15-0.0126%24 Oct →
anubis9–130.0625%24 Oct →
inferno7–13-0.0718%18 Oct →
cache16–140.0015%10 Oct →
ancient10–13-0.0118%10 Oct →
anubis13–30.0826%10 Oct →
inferno5–13-0.0126%10 Oct →
inferno6–13-0.0115%10 Oct →
nuke11–130.0834%10 Oct →
anubis13–9-0.0614%10 Oct →
inferno13–20.0920%10 Oct →
inferno8–80.0330%10 Oct →
nuke6–90.0226%10 Oct →
nuke13–6-0.0038%9 Oct →
ancient13–70.0727%9 Oct →
dust210–130.0617%9 Oct →
eldorado9–30.1036%4 Oct →
vertigo1–9-0.270%4 Oct →
inferno8–80.0545%4 Oct →
nuke9–00.2929%4 Oct →
inferno9–130.0425%4 Oct →
anubis5–13-0.0022%4 Oct →
cache14–160.0322%3 Oct →
ancient5–13-0.0221%3 Oct →
anubis13–6-0.0020%3 Oct →
nuke3–9-0.1333%3 Oct →
overpass7–9-0.0717%3 Oct →
inferno13–6-0.0047%3 Oct →
mirage13–110.0119%3 Oct →
overpass6–9-0.1027%3 Oct →
eldorado9–3-0.0416%3 Oct →
vertigo9–30.1313%3 Oct →
nuke0–9-0.2529%3 Oct →
inferno5–9-0.1115%3 Oct →
mirage10–13-0.0122%3 Oct →
inferno13–50.0837%2 Oct →
vertigo8–80.0427%27 Sept →
inferno9–30.1056%27 Sept →
eldorado6–9-0.1220%27 Sept →
vertigo9–30.0839%27 Sept →
mirage10–13-0.1024%27 Sept →
dust213–11-0.0516%27 Sept →
inferno8–13-0.0123%26 Sept →
cache13–110.0420%26 Sept →
dust214–160.0321%26 Sept →
mirage13–60.0216%25 Sept →
ancient13–20.0424%29 Aug →
mirage13–5-0.118%28 Aug →
anubis13–80.0725%28 Aug →
mirage9–130.0838%26 Aug →
inferno8–130.0524%26 Aug →
inferno13–30.1049%26 Aug →
inferno7–90.0922%14 Aug →
inferno5–90.0526%14 Aug →
nuke11–13-0.0619%9 Aug →
cache16–12-0.0312%9 Aug →
ancient13–6-0.0127%9 Aug →
ancient5–13-0.0715%26 Jul →
nuke13–50.0317%20 Jul →
anubis16–13-0.0224%19 Jul →
inferno13–50.0034%19 Jul →
anubis13–0-0.0113%19 Jul →
ancient2–13-0.0616%17 Jul →
cache11–130.0427%17 Jul →
ancient10–13-0.0116%17 Jul →
mirage10–13-0.0227%17 Jul →
inferno13–50.0229%17 Jul →
nuke13–60.0122%17 Jul →
anubis13–90.049%17 Jul →
cache3–13-0.0425%17 Jul →
inferno9–13-0.0019%17 Jul →
nuke5–13-0.0628%12 Jul →
dust28–130.0615%12 Jul →
cache16–14-0.0216%12 Jul →
ancient5–13-0.097%12 Jul →
ancient13–20.1227%12 Jul →
cache3–3-0.0136%12 Jul →
cache9–13-0.0522%10 Jul →
ancient13–80.1121%10 Jul →
anubis11–13-0.0514%10 Jul →
mirage13–60.0322%10 Jul →
cache13–80.0127%10 Jul →
ancient8–130.0314%10 Jul →
cache6–130.0225%9 Jul →
inferno13–80.0216%9 Jul →
anubis13–10-0.0324%6 Jul →
dust211–2-0.0112%6 Jul →
inferno15–15-0.0415%5 Jul →
dust29–13-0.0530%5 Jul →
anubis13–11-0.035%5 Jul →
dust29–13-0.059%4 Jul →
ancient13–90.0125%4 Jul →
ancient16–140.0026%4 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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