Mick

Mick — CS2 Stats

GB76561197961083417[U:1:817689]Steam profile ↗✓ No bans

2,627Tracked matches45%Win rate2020Tracked since
7,115Hours in CS
CSDB Rating3.8 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+149Tracked matches · now 2,627
−5.2ppWin rate · 50.0% → 44.8%

Rating over time

19Days played since 2026-09-18

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

Performance scores

Aim29
Positioning53
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY37–46–17Last 10037%Win rateLLWLLWLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · +26ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 664ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 664ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 651ms

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 against its own average).

Aim2.9
Utility5.2
Positioning5.3
Opening Duels2.4

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

Twistzz

Plays most like Twistzz 61% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning5.3
Utility5.2
Mechanics3.3
Opening Duels2.6
Win Impact3.3

Composite 3.8/10 (Learning), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time662ms−2ms
first ⅓ avg 664ms → last ⅓ avg 662ms
Headshot accuracy19.3%−0.5%
first ⅓ avg 19.8% → last ⅓ avg 19.3%

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

0.16Best match rating · 13–3 · dust2, 25 Oct →
37%Best headshot accuracy · 7–13 · dust2, 1 Nov →
484msFastest reaction time · 13–1 · dust2, 1 Nov →
13–1Biggest win · dust2, 1 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
9–6In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 7 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2C9034–5638%0.00
cache—21–150%-0.05
nuke—21–150%-0.04
ancient—21–150%-0.01
anubis—20–20%-0.04
inferno—10–10%-0.12
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

324,015Lifetime kills
1.10K/D · Top 50% of tracked players
16,357Matches
42.4%Match win rate
40.3%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
34,028MVPs
7,115Hours (in match)
19,694Bombs planted
3,312Bombs defused

Most-used weapons

P9060,023
AK-4734,763
AWP30,901
MP724,818
Glock-1816,588
P25013,064
AUG9,399
SG 5538,448

Lifetime map wins

121,595dust2
8,758inferno
5,249nuke
816vertigo
747office
670italy
600train
507cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.0%Headshot accuracy
25.1%Accuracy (enemy spotted)
34.5%Spray accuracy
65.0%Counter-strafing
11.9°Preaim
664msReaction time
39.8%T opening success
41.1%CT opening success
0.64Enemies flashed / flash
2.1%Flash assists
11.20HE damage / grenade
4.17Flashes / 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

    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 39.8283% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust211–130.0419%1 Nov →
inferno4–13-0.1219%1 Nov →
dust213–11-0.0410%1 Nov →
dust23–13-0.0626%1 Nov →
dust210–13-0.0730%1 Nov →
dust213–40.0718%1 Nov →
dust23–13-0.0415%1 Nov →
dust24–130.0020%1 Nov →
dust213–10.025%1 Nov →
dust213–5-0.0119%1 Nov →
dust211–13-0.0216%1 Nov →
dust27–130.0937%1 Nov →
dust211–130.0420%31 Oct →
dust27–13-0.0520%31 Oct →
dust213–110.0111%31 Oct →
dust213–11-0.0218%31 Oct →
dust211–13-0.0219%31 Oct →
dust212–120.0316%30 Oct →
cache4–13-0.1215%28 Oct →
dust26–13-0.0819%28 Oct →
nuke13–7-0.0323%28 Oct →
dust213–10-0.0014%27 Oct →
dust213–11-0.0310%27 Oct →
dust213–11-0.0521%27 Oct →
dust29–130.0329%27 Oct →
dust213–100.0119%25 Oct →
dust213–30.1619%25 Oct →
dust213–100.0120%25 Oct →
dust28–130.0325%25 Oct →
dust28–130.0617%25 Oct →
dust28–13-0.0325%25 Oct →
dust213–50.0624%25 Oct →
dust213–70.0420%25 Oct →
dust213–50.0925%25 Oct →
dust212–12-0.0220%24 Oct →
dust22–13-0.089%24 Oct →
dust28–130.0214%24 Oct →
dust212–120.0119%24 Oct →
dust27–13-0.0532%24 Oct →
dust213–9-0.0012%24 Oct →
dust212–120.0217%24 Oct →
dust213–20.1325%24 Oct →
dust23–13-0.0716%24 Oct →
nuke7–13-0.0416%23 Oct →
cache13–30.0331%23 Oct →
ancient13–10-0.0220%23 Oct →
dust28–13-0.0424%23 Oct →
dust212–12-0.0319%23 Oct →
dust28–13-0.0120%21 Oct →
dust26–13-0.0021%20 Oct →
dust212–120.0421%20 Oct →
dust213–11-0.0130%20 Oct →
dust25–13-0.0223%20 Oct →
dust212–120.0112%19 Oct →
dust212–12-0.0123%19 Oct →
dust25–13-0.0516%19 Oct →
vertigo6–13-0.0224%19 Oct →
ancient7–13-0.0010%19 Oct →
anubis12–12-0.050%19 Oct →
dust211–13-0.0514%18 Oct →
dust29–130.0027%18 Oct →
dust213–60.0316%18 Oct →
dust211–130.0217%18 Oct →
dust25–130.0515%17 Oct →
dust213–10-0.0116%17 Oct →
dust28–13-0.0528%17 Oct →
dust213–80.0212%17 Oct →
dust28–13-0.0118%17 Oct →
dust26–130.0524%17 Oct →
dust212–120.0216%16 Oct →
dust213–1-0.0313%16 Oct →
dust210–20.0218%16 Oct →
dust29–130.027%16 Oct →
dust26–13-0.0329%16 Oct →
dust212–120.0516%13 Oct →
dust24–13-0.0712%13 Oct →
dust213–11-0.0022%13 Oct →
dust213–20.0515%12 Oct →
dust212–120.0420%12 Oct →
anubis8–13-0.0323%11 Oct →
dust213–90.0419%11 Oct →
dust213–80.0417%11 Oct →
dust212–12-0.0112%11 Oct →
dust213–10.0226%11 Oct →
dust212–120.0226%11 Oct →
dust213–100.0627%11 Oct →
dust213–30.0429%11 Oct →
dust213–90.0123%11 Oct →
dust212–120.0221%10 Oct →
dust212–120.0421%10 Oct →
dust213–11-0.0222%10 Oct →
dust26–130.0022%10 Oct →
dust210–130.0118%10 Oct →
dust213–11-0.059%9 Oct →
dust20–13-0.0925%9 Oct →
dust210–13-0.0423%9 Oct →
dust210–13-0.0320%9 Oct →
dust212–120.1217%9 Oct →
dust213–6-0.0027%9 Oct →
dust29–130.0016%9 Oct →

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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