skrundle

skrundle — CS2 Stats

76561199203089848[U:1:1242824120]Steam profile ↗✓ No bans

2,315Tracked matches50%Win rate2022Tracked since
1,534Hours in CS
CSDB Rating5.5 SolidPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+180Tracked matches · now 2,315
−14.3ppWin rate · 64.3% → 50.0%

Rating over time

20Days played since 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim67
Positioning61
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLWWLLWWWLW

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · −0.9pp headshot accuracy · −45ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 604ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 627ms

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).

Aim6.7
Utility2.7
Positioning6.1
Opening Duels4.5
Clutch2.6

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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.

Reaction time. 611ms 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

Aim6.7
Positioning6.1
Utility2.7
Mechanics6.4
Opening Duels3.9
Win Impact5.0

Composite 5.5/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time619ms−2ms
first ⅓ avg 621ms → last ⅓ avg 619ms
Headshot accuracy15.1%−1.1%
first ⅓ avg 16.2% → last ⅓ avg 15.1%

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

0.16Best match rating · 13–3 · train, 22 Sept →
40%Best headshot accuracy · 2–13 · mirage, 20 Sept →
406msFastest reaction time · 6–13 · inferno, 14 Sept →
13–2Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–1In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 60% over 10ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA3821–1755%0.01
mirageA106–460%-0.01
trainB84–450%-0.01
anubisB84–450%0.02
ancientC83–538%0.01
infernoA74–357%-0.00
cacheC73–443%-0.02
dust2A53–260%-0.01
vertigoA53–260%-0.01
overpass—21–150%0.01
office—11–0100%-0.04
poseidon—10–10%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,273Lifetime kills
0.96K/D
5,254Matches
32.8%Match win rate
42.2%Headshot %
4.9%Shot accuracy
6,239MVPs
1,534Hours (in match)
1,037Bombs planted
662Bombs defused

Most-used weapons

AK-4723,029
MP95,062
MAC-104,827
AWP4,600
MP72,229

Lifetime map wins

5,951nuke
3,280dust2
2,852inferno
2,065vertigo
1,520train
449office
209ar_shoots
168ar_baggage

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

Faceit stats

Combat

143Matches
45%Win rate
0.85Avg K/D
79.5ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3067%0.9013.7
Inferno2631%0.7711.7
Mirage2241%0.8011.9
Anubis1953%0.8313.5
Nuke1735%1.0115.3
Vertigo1638%0.8514.6
Dust240%0.428.0
Train475%0.9712.5

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.

15.1%Headshot accuracy
37.9%Accuracy (enemy spotted)
46.2%Spray accuracy
78.6%Counter-strafing
12.3°Preaim
611msReaction time
46.0%T opening success
45.4%CT opening success
0.30Enemies flashed / flash
2.1%Flash assists
6.95HE damage / grenade
1.45Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2592° — above the 12° mark we flag

    Aim Training →
  2. 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 0.3008 — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0117%14 Oct →
inferno13–100.0113%14 Oct →
inferno13–11-0.0014%14 Oct →
nuke1–13-0.0126%11 Oct →
nuke10–13-0.0614%11 Oct →
dust213–90.029%9 Oct →
mirage13–8-0.1217%9 Oct →
train13–10-0.066%9 Oct →
train10–130.0028%9 Oct →
train13–9-0.078%9 Oct →
anubis6–130.0118%8 Oct →
anubis13–80.0316%8 Oct →
nuke12–120.0413%7 Oct →
train13–8-0.0223%7 Oct →
train5–13-0.039%7 Oct →
nuke13–20.0521%7 Oct →
nuke7–130.0313%6 Oct →
nuke11–13-0.0121%5 Oct →
ancient13–60.0514%5 Oct →
mirage5–13-0.0315%3 Oct →
anubis5–130.029%3 Oct →
ancient6–13-0.0315%3 Oct →
nuke12–120.0513%30 Sept →
inferno11–5-0.0317%27 Sept →
ancient13–100.0415%27 Sept →
dust213–9-0.0512%27 Sept →
train9–13-0.0112%27 Sept →
mirage5–130.0112%25 Sept →
nuke1–13-0.0029%25 Sept →
nuke13–20.0714%25 Sept →
nuke13–60.0712%25 Sept →
cache13–4-0.0820%25 Sept →
nuke13–2-0.044%25 Sept →
office13–8-0.0414%24 Sept →
overpass9–130.018%24 Sept →
vertigo13–70.0317%24 Sept →
nuke6–130.0023%24 Sept →
nuke13–80.0317%24 Sept →
ancient1–13-0.029%24 Sept →
dust26–130.038%24 Sept →
nuke13–90.089%24 Sept →
cache5–13-0.048%24 Sept →
dust29–13-0.0114%24 Sept →
vertigo13–50.0215%24 Sept →
vertigo6–13-0.109%24 Sept →
poseidon8–8-0.1215%24 Sept →
nuke13–40.0229%22 Sept →
ancient10–130.1115%22 Sept →
anubis9–130.0116%22 Sept →
cache13–80.039%22 Sept →
vertigo9–130.0221%22 Sept →
mirage13–20.0311%22 Sept →
train13–30.1617%22 Sept →
nuke13–3-0.0212%22 Sept →
nuke13–8-0.0310%22 Sept →
nuke13–60.0116%22 Sept →
nuke13–20.136%22 Sept →
cache6–13-0.093%22 Sept →
cache6–13-0.066%22 Sept →
cache9–13-0.007%21 Sept →
overpass13–20.0116%21 Sept →
train10–13-0.0216%21 Sept →
nuke13–30.0715%21 Sept →
anubis13–50.0533%21 Sept →
mirage13–9-0.0113%21 Sept →
ancient13–30.0221%21 Sept →
inferno13–50.0212%21 Sept →
nuke12–120.0217%21 Sept →
nuke5–12-0.0010%21 Sept →
nuke13–6-0.0217%21 Sept →
nuke8–130.0430%21 Sept →
nuke13–10-0.047%21 Sept →
anubis13–50.0310%20 Sept →
ancient9–13-0.0514%20 Sept →
inferno4–13-0.0316%20 Sept →
mirage2–13-0.1040%20 Sept →
mirage6–30.0318%20 Sept →
nuke9–130.0619%20 Sept →
nuke13–50.0718%20 Sept →
dust213–11-0.0418%20 Sept →
inferno9–130.0614%20 Sept →
nuke1–10-0.025%20 Sept →
vertigo13–11-0.0312%19 Sept →
mirage13–40.0514%19 Sept →
anubis4–13-0.019%19 Sept →
nuke13–11-0.0413%17 Sept →
nuke13–5-0.0319%16 Sept →
anubis13–50.0516%16 Sept →
nuke13–8-0.0811%16 Sept →
nuke1–12-0.0811%15 Sept →
nuke12–12-0.0221%15 Sept →
nuke13–100.0920%15 Sept →
nuke6–13-0.0920%15 Sept →
nuke13–100.0320%15 Sept →
nuke13–8-0.0210%15 Sept →
inferno6–13-0.0312%14 Sept →
mirage13–100.0120%14 Sept →
cache13–50.0718%14 Sept →
nuke8–130.0011%14 Sept →
ancient12–12-0.0125%14 Sept →

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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