DOINK

DOINK — CS2 Stats

76561198104005482[U:1:143739754]Steam profile ↗✓ No bans

1,477Tracked matches61%Win rate2020Tracked since
5,319Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating27,572Top 5% of 211,308 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#3964 of 258330 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). 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: 27,572 +8,208 9 Oct – 28 Oct · 17 days played
19,24827,572peak 27,5729 Oct28 Oct
27,589Peak Premier in tracked matches
29Days played since 2025-10-08

Premier CS Rating

  • At peak — 27,572
  • Next: Gold band at 30,000 — 2,428 to go
  • Reached: Red band · Pink band · Purple band · 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 Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate48.6%50.9%
Shot accuracy15.8%13.7%
Kill/death ratio0.901.09
Match win rate44.3%48.4%

Share this profile

CSDB.GGDOINKFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,572 · Red bandcsdb.gg/stats

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Performance scores

Aim81
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY64–33–3Last 10064%Win rateWLTWWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · +10ms 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 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 539ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 563ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • 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 (+2.1 against its own average).

Aim8.1
Utility4.9
Positioning5.4
Opening Duels1.5
Clutch1.4

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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: utility contribution, positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 11.8° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 563ms 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

Aim8.1
Positioning5.4
Utility4.9
Mechanics7.5
Opening Duels2.8
Win Impact8.6

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time564ms−51ms
first ⅓ avg 616ms → last ⅓ avg 564ms
Headshot accuracy20.3%−0.8%
first ⅓ avg 21.1% → last ⅓ avg 20.3%

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

0.10Best match rating · 16–13 · dust2, 21 Oct →
50%Best headshot accuracy · 13–8 · train, 8 Oct →
406msFastest reaction time · 13–5 · nuke, 26 Oct →
13–0Biggest win · ancient, 26 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

trainBest map · 83% over 6mirageWeakest map · 53% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB179–853%-0.02
ancientA1610–663%-0.01
nukeS1510–567%-0.03
dust2A159–660%0.01
cacheS119–282%-0.03
infernoA117–464%-0.02
trainS65–183%-0.02
overpass—31–233%-0.03
anubis—22–0100%0.07
rooftop—21–150%-0.04
poseidon—11–0100%-0.04
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (53% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

215,722Lifetime kills
0.90K/D
9,792Matches
44.3%Match win rate
48.6%Headshot %
15.8%Shot accuracy · Top 50% of Level 10 players
25,237MVPs
5,319Hours (in match)
9,035Bombs planted
3,199Bombs defused

Most-used weapons

AK-4773,285
AWP26,096
P2505,040
SG 5533,735
Knife2,974

Lifetime map wins

13,348inferno
12,078dust2
7,263train
7,261nuke
6,440vertigo
3,418cbble
256lake
158safehouse

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

Faceit stats

Combat

1,335Matches
51%Win rate
1.01Avg K/D
73.8ADR
43%Headshot %

Clutches & streaks

27%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3364%0.9916.4
Anubis2348%0.8214.6
Nuke1354%0.8914.6
Mirage450%0.9314.0
Vertigo450%0.9613.3
Train4100%1.5617.3
Dust2475%0.7616.3
Inferno3100%0.8718.0

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.

20.4%Headshot accuracy
37.5%Accuracy (enemy spotted)
47.5%Spray accuracy
83.6%Counter-strafing
11.8°Preaim
563msReaction time
39.5%T opening success
42.6%CT opening success
0.49Enemies flashed / flash
8.0%Flash assists
5.93HE damage / grenade
6.64Flashes / 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 0.4856 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.475% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–90.0213%28 Oct →
nuke8–13-0.057%28 Oct →
ancient15–150.0119%28 Oct →
anubis13–50.0818%28 Oct →
ancient13–1-0.0026%28 Oct →
ancient8–1-0.0122%28 Oct →
nuke8–13-0.0420%28 Oct →
cache5–13-0.0443%27 Oct →
cache13–11-0.0328%27 Oct →
cache13–4-0.0322%26 Oct →
mirage11–13-0.0814%26 Oct →
ancient10–13-0.0818%26 Oct →
nuke13–40.0327%26 Oct →
nuke13–5-0.0223%26 Oct →
inferno13–20.0022%26 Oct →
inferno9–13-0.0829%26 Oct →
dust215–150.0115%26 Oct →
anubis13–100.0717%25 Oct →
nuke13–10-0.0027%25 Oct →
nuke13–7-0.0518%25 Oct →
mirage16–140.0322%25 Oct →
mirage9–13-0.0826%25 Oct →
nuke6–13-0.0833%25 Oct →
cache13–70.0224%25 Oct →
inferno6–13-0.0313%25 Oct →
nuke8–13-0.0516%23 Oct →
mirage8–13-0.054%23 Oct →
mirage13–6-0.0517%23 Oct →
ancient13–4-0.0317%23 Oct →
cache13–60.0027%23 Oct →
mirage13–40.0616%23 Oct →
mirage13–110.0215%23 Oct →
dust213–9-0.0317%23 Oct →
dust213–60.0618%23 Oct →
cache13–10-0.059%23 Oct →
ancient12–30.0639%23 Oct →
ancient7–13-0.0622%23 Oct →
ancient8–13-0.0119%22 Oct →
dust211–130.0115%22 Oct →
nuke6–13-0.0629%22 Oct →
dust213–8-0.0424%22 Oct →
cache13–10-0.0220%21 Oct →
dust216–130.1018%21 Oct →
cache1–13-0.166%5 May →
cache13–7-0.0717%5 May →
cache13–5-0.0327%5 May →
inferno7–9-0.1335%19 Mar →
ancient13–5-0.0022%28 Feb →
nuke13–80.0226%28 Feb →
ancient13–7-0.0229%23 Feb →
mirage9–13-0.0131%23 Feb →
dust29–130.0526%23 Feb →
nuke13–110.0519%20 Feb →
mirage6–13-0.0328%19 Feb →
mirage7–13-0.0825%19 Feb →
poseidon9–7-0.0415%9 Feb →
mirage13–5-0.0019%27 Jan →
rooftop6–9-0.0621%13 Nov →
inferno9–3-0.0123%13 Nov →
ancient10–130.0027%27 Oct →
dust213–11-0.0324%27 Oct →
inferno13–11-0.0221%27 Oct →
dust25–13-0.0313%26 Oct →
nuke13–1-0.0318%26 Oct →
ancient13–00.067%26 Oct →
rooftop9–1-0.0233%26 Oct →
train16–12-0.0116%25 Oct →
dust213–6-0.0215%25 Oct →
dust213–110.0323%25 Oct →
dust211–130.0117%25 Oct →
nuke13–9-0.0431%25 Oct →
inferno13–40.0714%25 Oct →
overpass9–13-0.0427%25 Oct →
mirage14–16-0.0123%25 Oct →
inferno11–13-0.024%23 Oct →
mirage13–7-0.077%23 Oct →
overpass6–13-0.0415%22 Oct →
train16–13-0.0624%21 Oct →
train13–40.0222%20 Oct →
ancient16–14-0.0517%20 Oct →
nuke13–9-0.0119%20 Oct →
ancient10–60.0027%20 Oct →
inferno13–3-0.047%20 Oct →
mirage16–12-0.0419%20 Oct →
mirage11–13-0.0322%17 Oct →
dust213–60.0821%17 Oct →
train13–110.0219%15 Oct →
nuke13–5-0.049%15 Oct →
inferno13–9-0.0126%15 Oct →
mirage13–80.0127%15 Oct →
dust210–13-0.0123%14 Oct →
inferno13–80.0229%14 Oct →
train6–13-0.0817%10 Oct →
mirage13–10-0.0126%9 Oct →
ancient6–13-0.0418%9 Oct →
ancient13–10.0429%9 Oct →
overpass13–6-0.0121%9 Oct →
dust213–3-0.0115%8 Oct →
train13–80.0050%8 Oct →
vertigo8–8-0.0236%8 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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