Digmo

Digmo — CS2 Stats

CH76561198090549365[U:1:130283637]Steam profile ↗✓ No bans

600Tracked matches19%Win rate2021Tracked since
3,421Hours in CS4Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating10,721Blue band · top ~51.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (11 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: 10,721 -2,506 31 Jul – 24 Oct · 34 days played
10,72114,824peak 14,82431 Jul24 Oct
14,999Peak Premier in tracked matches
34Days played since 2026-07-31

Premier CS Rating

  • 4,103 below peak (14,824)
  • -3,598 over 30 days · declining
  • -2,506 over 90 days
  • Next: Purple band at 15,000 — 4,279 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate40.1%43.8%44.8%4.7% short
Shot accuracy15.7%12.0%12.4%above
Kill/death ratio0.951.021.030.09 short
Match win rate39.2%44.7%45.2%6.0% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDigmoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,721 · Blue bandcsdb.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

Aim66
Positioning55
Utility19

0–100 skill scores via Leetify.

Recent form

COLD33–59–8Last 10033%Win rateLWLLLLLLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +2.8pp headshot accuracy · −53ms 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 553ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 20

  • 3–16–1 · 15% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

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 (+2.5 against its own average).

Aim6.6
Utility1.9
Positioning5.5
Opening Duels3.1
Clutch1.6

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 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

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

Aim6.6
Positioning5.5
Utility1.9
Mechanics5.1
Opening Duels5.5
Win Impact0.0

Composite 4.4/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time542ms−43ms
first ⅓ avg 585ms → last ⅓ avg 542ms
Headshot accuracy20.7%+0.8%
first ⅓ avg 19.9% → last ⅓ avg 20.7%

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

0.15Best match rating · 4–13 · train, 12 Sept →
56%Best headshot accuracy · 13–10 · vertigo, 24 Oct →
375msFastest reaction time · 5–13 · ancient, 16 Oct →
13–2Biggest win · nuke, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 55% over 11ancientWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageD246–1825%0.01
cacheB179–853%0.02
infernoC156–940%0.01
ancientD153–1220%-0.01
nukeA116–555%0.01
dust2D102–820%-0.00
anubis—30–30%0.04
vertigo—21–150%-0.01
train—20–20%0.07
overpass—10–10%0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,693Lifetime kills
0.95K/D
4,855Matches
39.2%Match win rate
40.1%Headshot %
15.7%Shot accuracy · Top 25% of Level 5 players
11,551MVPs
1,903Hours (in match)
4,503Bombs planted
865Bombs defused

Most-used weapons

AK-4723,102
AWP13,386
P903,155
FAMAS1,969
P2501,783
UMP-451,579

Lifetime map wins

5,167dust2
3,888inferno
2,183cbble
1,950nuke
837train
408aztec
297vertigo
207italy

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

Faceit stats

Combat

110Matches
52%Win rate
1.11Avg K/D
95.9ADR
44%Headshot %

Clutches & streaks

28%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1354%1.2718.9
Dust21155%1.2516.0
Inferno667%1.3416.7
Anubis3100%1.7120.7
Nuke367%1.4218.7
Ancient20%0.9013.5
Cache1100%1.7925.0

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.

20.2%Headshot accuracy
31.3%Accuracy (enemy spotted)
35.0%Spray accuracy
73.1%Counter-strafing
9.6°Preaim
545msReaction time
57.3%T opening success
46.7%CT opening success
0.20Enemies flashed / flash
3.6%Flash assists
8.73HE damage / grenade
1.75Flashes / 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 0.1963 — below the 0.5 mark we flag

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.040%24 Oct →
vertigo13–10-0.0556%24 Oct →
train9–13-0.0114%24 Oct →
ancient1–13-0.0616%24 Oct →
inferno3–13-0.0328%24 Oct →
ancient8–130.0522%22 Oct →
mirage10–130.0118%22 Oct →
mirage4–130.0323%16 Oct →
mirage4–13-0.0312%16 Oct →
mirage8–130.0026%16 Oct →
ancient5–13-0.1124%16 Oct →
cache7–13-0.0120%16 Oct →
cache8–13-0.0323%13 Oct →
cache6–13-0.0418%11 Oct →
anubis11–130.0321%11 Oct →
nuke13–16-0.0911%9 Oct →
mirage13–7-0.0927%9 Oct →
ancient15–15-0.0214%7 Oct →
cache13–7-0.0213%7 Oct →
dust27–13-0.0118%7 Oct →
inferno15–150.0220%5 Oct →
dust210–130.1223%4 Oct →
inferno13–70.1030%4 Oct →
dust25–13-0.0237%3 Oct →
dust26–130.0517%3 Oct →
cache7–130.0515%2 Oct →
nuke13–40.0519%2 Oct →
ancient10–130.0116%2 Oct →
ancient15–150.0916%2 Oct →
dust27–13-0.0419%1 Oct →
mirage8–130.0318%1 Oct →
inferno9–130.0629%1 Oct →
nuke13–60.0124%1 Oct →
cache13–90.0720%30 Sept →
dust211–13-0.0513%29 Sept →
mirage13–50.0715%29 Sept →
cache9–130.0213%27 Sept →
nuke13–2-0.0410%27 Sept →
mirage9–130.019%27 Sept →
mirage11–130.0511%27 Sept →
ancient12–16-0.0313%23 Sept →
cache13–90.0312%23 Sept →
mirage15–15-0.0217%23 Sept →
dust27–13-0.0320%19 Sept →
ancient12–16-0.0121%19 Sept →
cache13–60.0226%19 Sept →
ancient8–13-0.0214%18 Sept →
inferno7–13-0.0526%18 Sept →
nuke13–110.0618%18 Sept →
cache11–130.0834%18 Sept →
anubis7–130.0420%14 Sept →
mirage11–13-0.025%14 Sept →
inferno3–13-0.1023%13 Sept →
nuke11–130.0221%12 Sept →
anubis12–120.0514%12 Sept →
train4–130.1527%12 Sept →
overpass12–120.1217%12 Sept →
cache12–120.0718%12 Sept →
mirage13–110.0314%12 Sept →
ancient13–7-0.0328%12 Sept →
cache13–70.0927%11 Sept →
mirage13–80.0626%11 Sept →
inferno16–13-0.0215%11 Sept →
inferno13–70.0412%1 Sept →
vertigo5–90.0320%31 Aug →
mirage3–13-0.0217%31 Aug →
mirage11–130.0514%29 Aug →
nuke11–130.0224%29 Aug →
inferno13–16-0.0223%29 Aug →
mirage13–40.0526%29 Aug →
nuke13–30.1120%29 Aug →
cache13–3-0.0518%29 Aug →
inferno1–130.0314%29 Aug →
mirage2–13-0.0831%29 Aug →
ancient13–90.0527%28 Aug →
ancient7–13-0.0217%16 Aug →
cache10–13-0.0415%15 Aug →
dust28–13-0.105%15 Aug →
nuke13–60.0327%15 Aug →
mirage12–12-0.0716%15 Aug →
mirage8–130.0119%15 Aug →
ancient11–130.0533%15 Aug →
nuke10–13-0.0019%15 Aug →
mirage13–160.0214%14 Aug →
inferno0–13-0.0811%12 Aug →
inferno13–60.0718%12 Aug →
mirage8–13-0.0713%12 Aug →
inferno13–30.1019%12 Aug →
nuke6–9-0.0524%12 Aug →
inferno13–80.1216%11 Aug →
cache16–14-0.0120%11 Aug →
ancient13–9-0.0218%11 Aug →
ancient14–16-0.0421%6 Aug →
mirage11–130.0428%2 Aug →
dust213–100.0323%2 Aug →
dust213–80.0123%2 Aug →
mirage13–20.1115%2 Aug →
cache16–140.0226%2 Aug →
cache13–30.0717%31 Jul →
mirage1–13-0.0620%31 Jul →

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 →

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