Collat

Collat — CS2 Stats

VI76561198338434815[U:1:378169087]Steam profile ↗✓ No bans

1,389Tracked matches62%Win rate2020Tracked since
2,851Hours in CS0Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating21,872Pink band · top ~6.4% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGCollatFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,872 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning62
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWWWWTWLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −4.4pp headshot accuracy · −23ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 464ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 489ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 501ms

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 (+1.5 against its own average).

Aim7.9
Utility3.1
Positioning6.2
Opening Duels3.8
Clutch5.8

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 92% 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

Aim7.9
Positioning6.2
Utility3.1
Mechanics7.2
Opening Duels4.2
Win Impact9.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time518ms−66ms
first ⅓ avg 584ms → last ⅓ avg 518ms
Headshot accuracy18.3%−3.5%
first ⅓ avg 21.8% → last ⅓ avg 18.3%

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 · 9–13 · nuke, 2 Aug →
50%Best headshot accuracy · 13–4 · train, 17 Aug →
391msFastest reaction time · 13–10 · nuke, 12 Sept →
13–1Biggest win · nuke, 23 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 63% over 16cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB189–950%-0.00
dust2B178–947%0.01
nukeA1610–663%0.02
anubisC146–843%-0.00
ancientB136–746%-0.02
infernoC125–742%0.00
cacheC52–340%-0.01
vertigo—31–233%-0.00
train—11–0100%0.06
overpass—11–0100%0.09

Across the last 100 tracked matches.

Lifetime stats

78,955Lifetime kills
1.07K/D
3,930Matches
44.4%Match win rate
47.6%Headshot %
13.6%Shot accuracy
7,936MVPs
1,623Hours (in match)
3,335Bombs planted
907Bombs defused

Most-used weapons

AK-4724,584
AWP10,508
SSG 082,468
MP91,740
P2501,179

Lifetime map wins

7,575dust2
4,218inferno
1,758nuke
1,203vertigo
655train
330cbble
209lake
141office

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

Faceit stats

Combat

151Matches
53%Win rate
1.11Avg K/D
75.2ADR
47%Headshot %

Clutches & streaks

49%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3554%1.1115.2
Anubis3050%1.1515.1
Mirage3060%1.1316.2
Inferno1540%0.8813.7
Vertigo1540%0.9414.6
Dust21362%1.1715.1
Nuke667%1.1616.7
Train250%0.7713.0

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.

18.3%Headshot accuracy
33.0%Accuracy (enemy spotted)
37.1%Spray accuracy
82.4%Counter-strafing
8.2°Preaim
516msReaction time
46.1%T opening success
47.6%CT opening success
0.50Enemies flashed / flash
4.8%Flash assists
4.49HE damage / grenade
2.97Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.9733 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0310%20 Sept →
inferno11–13-0.0414%20 Sept →
vertigo13–90.0526%20 Sept →
ancient13–10-0.0216%20 Sept →
dust213–80.0816%20 Sept →
anubis13–100.0613%20 Sept →
nuke12–120.0419%19 Sept →
inferno13–50.0820%19 Sept →
vertigo7–13-0.0214%19 Sept →
mirage13–80.0715%19 Sept →
ancient2–13-0.0623%19 Sept →
nuke6–130.0213%14 Sept →
anubis16–120.0024%14 Sept →
dust210–13-0.0226%13 Sept →
dust213–11-0.0021%13 Sept →
anubis13–60.0019%13 Sept →
ancient13–30.0215%13 Sept →
mirage13–9-0.0120%13 Sept →
dust213–60.0224%13 Sept →
nuke13–9-0.0223%13 Sept →
ancient11–13-0.0313%13 Sept →
mirage16–14-0.0310%12 Sept →
nuke13–10-0.0827%12 Sept →
dust28–13-0.0317%12 Sept →
ancient13–70.0818%12 Sept →
dust213–30.0527%10 Sept →
inferno9–13-0.0313%9 Sept →
anubis13–50.0714%9 Sept →
mirage13–16-0.0314%8 Sept →
nuke3–13-0.0335%8 Sept →
inferno1–13-0.0311%25 Aug →
nuke13–50.0716%25 Aug →
dust26–13-0.0820%23 Aug →
ancient13–4-0.0118%23 Aug →
anubis13–50.0015%23 Aug →
nuke13–10.0520%23 Aug →
dust27–13-0.0411%23 Aug →
inferno13–16-0.0421%23 Aug →
mirage11–130.0132%22 Aug →
nuke13–10.0428%22 Aug →
anubis13–16-0.0622%22 Aug →
dust213–80.0322%22 Aug →
ancient13–5-0.0316%22 Aug →
inferno10–130.0321%22 Aug →
nuke13–8-0.0417%22 Aug →
anubis6–13-0.0333%21 Aug →
nuke16–13-0.0122%21 Aug →
dust213–40.1131%21 Aug →
inferno13–90.0320%21 Aug →
mirage10–13-0.0213%21 Aug →
ancient11–13-0.0221%21 Aug →
anubis7–130.0212%19 Aug →
inferno16–14-0.016%19 Aug →
dust213–70.0115%19 Aug →
mirage9–13-0.075%19 Aug →
dust26–13-0.024%19 Aug →
cache13–90.1026%19 Aug →
inferno14–160.0315%18 Aug →
nuke13–7-0.0110%18 Aug →
mirage13–30.0621%18 Aug →
anubis5–13-0.056%17 Aug →
train13–40.0650%17 Aug →
cache10–13-0.0824%16 Aug →
mirage8–13-0.0712%16 Aug →
ancient13–11-0.028%13 Aug →
mirage10–130.0412%13 Aug →
nuke8–13-0.0112%13 Aug →
cache7–13-0.0517%13 Aug →
mirage13–10.0231%12 Aug →
anubis11–13-0.0012%11 Aug →
inferno13–30.0135%10 Aug →
anubis13–30.0416%10 Aug →
nuke7–13-0.0217%10 Aug →
mirage1–13-0.100%9 Aug →
mirage13–40.0715%9 Aug →
anubis1–13-0.0811%9 Aug →
dust28–13-0.0524%9 Aug →
ancient8–13-0.0314%9 Aug →
ancient8–13-0.0420%9 Aug →
vertigo9–13-0.0319%5 Aug →
mirage13–90.0114%5 Aug →
dust213–110.1131%5 Aug →
overpass13–30.0939%5 Aug →
ancient9–13-0.0327%2 Aug →
mirage13–5-0.0332%2 Aug →
nuke13–90.0238%2 Aug →
dust27–13-0.0331%2 Aug →
inferno6–130.0211%2 Aug →
nuke9–130.1626%2 Aug →
dust212–120.0623%2 Aug →
ancient7–13-0.0332%30 Jul →
anubis4–120.0232%30 Jul →
mirage11–130.0317%27 Jul →
cache1–13-0.074%27 Jul →
nuke13–20.1214%27 Jul →
dust215–150.0430%27 Jul →
anubis5–13-0.0527%27 Jul →
cache13–90.0519%26 Jul →
mirage13–80.0116%26 Jul →
inferno13–11-0.0226%26 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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